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Data Operations Lead | Employer Provided Salary:$85K-$90K | Data Operations Lead
Location: Flexible though San Francisco, CA preferred. Travel (e.g. 1-3 times per year) to Muso’s office in Bamako, Mali, will be required.
Department: Research, Monitoring, & Evaluation
Full-time
Supervised by: Data Scientist
Desired level of experience: Manager
Muso is an NGO based in Mali with a mission to eliminate preventable deaths that are rooted in poverty. Muso has built a proactive health system delivered by nurses, midwives, community health workers, supervisors, and physicians. To our knowledge, the communities we serve have achieved child mortality rates lower than any country in sub-Saharan Africa.
Muso has invested in building robust data collection streams. These include patient health care data collected by community health workers and government-run primary care clinics, and patient demographic, vital record, and health data collected via population-level census surveys. We are currently architecting an extensible data warehouse in order to ensure we effectively leverage our relational data sources and meet our data use goals.
As Muso’s proactive health care services, data sources, and research projects grow in complexity and scope, the Data Operations Lead will play a key leadership role in the management and oversight of the data warehouse, supervising and building the capacity of members of the Data Operations team responsible for data warehouse maintenance. This position will also collaborate to support business analysis functions, including the identification of data requirements and the implementation of technological solutions, to ensure that our growing data systems continue to meet those requirements.
Responsibilities:
Provide leadership and overall direction of day-to-day management of data warehouse operations.
Supervise the Data Operations team to ensure reliable operations and maintenance of all data warehouse processes (e.g. data ingestion, QAQC, loading, reconciliation, scheduled back-ups, updating the Master Person Index).
Supervise the implementation of record linkage projects between the Master Patient Index and other data sources. This includes collaborating with the Data Scientist and Data Operations team on the development of efficient work flows for updating and integrating the MPI within the data warehouse.
Develop standard operating protocols, train the Data Operations team on their implementation and maintenance, and ensure compliance and auditing.
Evaluate and make recommendations for enhancing Data Operations team capabilities (e.g. internal staffing, external collaborations).
Build technical expertise and capabilities of the Data Operations team through training and mentorship in data warehouse operations and maintenance.
Assess training and capacity-building needs on the Data Operations team, and design and implement training to address gaps in technical competencies.
Provide technical mentorship to the Data Operations team.
Support the Data Operations team to provide effective support and collaboration with other departments. This includes developing and implementing training of other technical staff in the Department of Research, Monitoring, & Evaluation.
Manage and support the Data Operations team to modify the data warehouse as needed in support of Muso’s data analytics pipeline.
Collaborate with different stakeholders in different departments (Program, Innovation and Technology, Research, Development) to identify, document, and prioritize data requirements and use cases.
Collaborate with Innovation Technology Coordinator and Data Scientist to evaluate different solutions and potential new data sources in pursuit of Muso’s data use goals, and to ensure all data sources meet requirements for data infrastructure, data analytics, and interoperability while also continuing to meet user needs.
Collaborate with Data Scientist and other stakeholders to design and integrate data pipelines.
Manage and support the Data Operations team to modify the data warehouse as needed to integrate new data sources and/or support new projects, including designing and implementing ETL and quality assurance processes in support of business analytics and reporting.
Need to have:
BS and/or MS in Computer Science, Engineering, or related field.
Excellent knowledge of relational databases and data modeling and data warehousing.
Experience with managing database and/or data warehouse architecture and implementation of data warehouse solutions.
Experience with assessing requirements for data infrastructure, data analytics, and interoperability.
Professional experience programming in at least one language in addition to SQL: Java, Javascript, Python, PHP, etc.
Experience with PostgreSQL databases.
Experience providing direction and mentorship to others.
Proven ability to work independently and to collaborate effectively with team members and partners at all levels.
Ability to clearly and effectively communicate and maintain relationships with a diverse group of internal and external partners and stakeholders, including strong prioritization and project management skills.
Professional proficiency in French, or willingness to learn.
Nice to have:
Experience working with an NGO or in a resource-constrained setting
Experience developing data pipelines in Google BigQuery
Experience with DHIS2 and/or R
Experience developing dashboards and reports with any business intelligence tool, such as Tableau, Klipfolio, Qlik, Periscope, etc.
Experience directly managing others
Experience in training and building capacity among other data-focused roles
Demonstrated commitment to healthcare as a human right and social justice
To Apply
Please submit a cover letter and CV to careers@musohealth.org with subject line "Data Operations Lead". We will evaluate candidates on a rolling basis, so it is to the candidate's advantage to submit as soon as possible. Muso is an equal opportunity employer. | -1 | Muso | San Francisco, CA | San Francisco, CA | 201 to 500 employees | -1 | Nonprofit Organization | -1 | -1 | Unknown / Non-Applicable | -1 | 0 | 1 | 85 | 90 | 87.5 | Muso | CA | 1 | -1 | 1 | 0 | 0 | 0 | 1 |
Big Data Engineer | $62K-$119K (Glassdoor est.) | At SpringML, we are all about empowering the doers in companies to make smarter decisions with their data. Our predictive analytics products and solutions apply machine learning to todays most pressing business problems so customers get insights they can trust to drive business growth. We are a tight knit, friendly team of passionate and driven people who are dedicated to learning, get excited to solve tough problems and like seeing results, fast.
Your primary role will be to design and build data pipelines. You will be focused on designing and implementing solutions on Hadoop, Spark, Pig, Hive. In this role you will be exposed to Google Cloud Platform including Dataflow, BigQuery and Kubernetes so the ideal candidate will have a strong big data technology foundation and bring a passion to learn new technologies. If you believe you have these skills please email your resume to info@springml.com.
Required Skills:
4-7 years Python and Java programming
3-5 years knowledge of Java/J2EE
3-5 years Hadoop, Big Data ecosystem experience
3-5 years of Unix experience
Bachelors in Computer Science (or equivalent)
Duties and Responsibilities:
Design and develop applications utilizing the Spark and Hadoop Frameworks or GCP components.
Read, extract, transform, stage and load data to multiple targets, including Hadoop, Hive, BigQuery.
Migrate existing data processing from standalone or legacy technology scripts to Hadoop framework processing.
Should have experience working with gigabytes/terabytes of data and must understand the challenges of transforming and enriching such large datasets.
Additional Skills that are a plus:
C, Perl, Javascript or other programming skills and experience a plus
Production support/troubleshooting experience
Data cleaning/wrangling
Data visualization and reporting
Devops, Kubernetes, Docker containers
Powered by JazzHR | 4.4 | SpringML
4.4 | Indianapolis, IN | Pleasanton, CA | 1 to 50 employees | 2,015 | Company - Private | Enterprise Software & Network Solutions | Information Technology | Unknown / Non-Applicable | -1 | 0 | 0 | 62 | 119 | 90.5 | SpringML
| IN | 0 | 5 | 1 | 0 | 1 | 0 | 0 |
Data Scientist / Machine Learning Expert | $86K-$143K (Glassdoor est.) | Posting Title
Data Scientist / Machine Learning Expert
04-Feb-2020
Job ID
288341BR
Job Description
ONE Global Discovery Chemistry Community working across 7 disease areas at the Novartis Institutes for BioMedical Research (NIBR) is seeking a highly talented and motivated Data Scientist to join our Global Discovery Chemistry Department in Cambridge, MA. The successful candidate will join an energizing and collaborative research organization, working alongside colleagues who are committed to improving human health through the discovery of transformative medicines.
We are seeking a unique data scientist with the skills, experience and passion to extract new knowledge and disruptive insights from the large and rich body of data collected by one of the world’s leading pharmaceutical companies. You will be a member of our global Computer-Aided Drug Discovery (CADD) group, an interdisciplinary team of expert molecular modelers, cheminformaticians, and data scientists. Teamed up with domain experts from biology, chemistry and translational medicine, this is a unique opportunity to develop and apply cutting-edge machine learning technologies to uncover insights to real-world drug discovery problems and innovate paths to new medicines.
Your responsibilities include:
•Develop and implement methods for extracting patterns and correlations from both internal and external data sources using machine learning toolkits
•Develop workflows for conducting comparative analysis among Novartis’ diverse data sources as well as generalizing approaches developed in-house or externally.
•Enable open-source solutions for internal use and implement cutting-edge published scientific methods.
•Develop customized machine learning solutions including data querying and knowledge extraction.
•Interact and be part of interdisciplinary project teams to drive effective decision-making by mining and developing predictive models
•Develop new skills in the area of cheminformatics and drug discovery and leverage those to accelerate development of new machine learning algorithms
•Keep ahead of scientific literature and interact with internal and external scientists to integrate novel data science technologies
Minimum requirements
Education:
Advanced degree (M.Sc. or higher) in data science and machine learning, statistics, computer sciences, cheminformatics, mathematics, computational chemistry, computational biology, bioinformatics, or related field.
Minimum experience & skills:
•In-depth experience with modern and classical machine learning methods
•Strong statistical foundation with broad knowledge of supervised and unsupervised techniques
•Programming experience (preferred Python, R, C++) preferably in Linux and high-performance computing environments
•Good listener - strong, concise, and consistent written and oral communication
•Talent for communicating stories through data visualizations
•Proven ability to collaborate with others
•A passion for tackling challenging problems and developing creative solutions
•A drive for self-development with a focus on scientific know-how
Additional qualifications that will help in the role:
•Demonstrated impact using machine learning libraries, such as scikit-learn, PyTorch or similar in a cheminformatics context
•Hands on experience with data analysis software such as Spotfire, R-shiny or similar
•Working experience with open-source cheminformatics toolkits such as RDKit
•Working experience with source-code management systems such as Git/github/bitbucket
•Familiar with the foundational concepts in molecular biology, pharmacology or medicine. Working knowledge of medicinal chemistry and drug discovery is a plus
Why consider Novartis?
750 million. That’s how many lives our products touch. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives?
We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you’re given opportunities to explore the power of digital and data. Where you’re empowered to risk failure by taking smart risks, and where you’re surrounded by people who share your determination to tackle the world’s toughest medical challenges.
We are Novartis. Join us and help us reimagine medicine.
Job Type
Full Time
Country
USA
Work Location
Cambridge, MA
Functional Area
Research & Development
Division
NIBR
Business Unit
Global Discovery Chemistry
Employment Type
Regular
Company/Legal Entity
NIBRI
EEO Statement
The Novartis Group of Companies are Equal Opportunity Employers and take pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.
Shift Work
No | 3.8 | Novartis
3.8 | Cambridge, MA | Basel, Switzerland | 10000+ employees | 1,996 | Company - Public | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $10+ billion (USD) | -1 | 0 | 0 | 86 | 143 | 114.5 | Novartis
| MA | 0 | 24 | 1 | 0 | 0 | 0 | 0 |
Data Scientist | $93K-$149K (Glassdoor est.) | Title: Software Engineer, Data Science
Design, develop and implement ML/Analytics features for high-performance cloud monitoring, analytics and optimization software.
Description:
AppFormix team in Juniper is seeking a Data Science engineer to work on the developing sophisticated analytics for our cloud monitoring and optimization platform.
You will be responsible for solving complex problems and designing solutions which will provide the user meaningful insights into health and usage patterns of their cloud infrastructure.
Responsibilities:
• Design and develop ML/analytics related features by leveraging supervised/unsupervised machine learning algorithms, data science knowledge.
• Develop tools for anomaly detection, forecast models, capacity planning, metric correlation models which should work at scale for large volumes of time- series data.
• Work with the team to develop APIs, schemas.
• Contribute to the test and automation infrastructure by adding more unit tests, system tests to ensure high code quality and reliability.
• Participate in design discussions and code reviews.
Minimum Qualifications:
• Bachelor’s or Master's degree or foreign equivalent in Computer Engineering or Computer Science.
• Proficiency in machine learning, data science. Ability to leverage the knowledge to visualize, design and build machine learning models and heuristics to provide useful insights on cloud platforms resource usage patterns.
• Proficiency in Python or any other Object Oriented Languages
• Deep Learning/Machine Learning Frameworks: (Scikit-Learn, TensorFlow, Keras, PySpark ML)
• Ability to clearly thought out APIs and write clean, efficient code.
• Ability to handle multiple tasks, prioritize and meet deadlines in a fast-paced work environment.
• Excellent verbal and written communication skills
Preferred Qualifications:
• 2+ years of experience in developing ML/Analytics
• Experience in building highly scalable distributed systems
• Working knowledge of implementing web services backend
• Experience with REST APIs
• Experience with databases (Mongo, Redis, SQL)
Juniper Networks is enrolled in E-Verify® and will be participating in E-Verify in addition to our Form I-9 process. www.dhs.gov/E-Verify
Juniper Networks is an Equal Opportunity/Affirmative Action Employer. | 3.8 | Juniper Networks
3.8 | Sunnyvale, CA | Sunnyvale, CA | 5001 to 10000 employees | 1,996 | Company - Public | Telecommunications Services | Telecommunications | $2 to $5 billion (USD) | -1 | 0 | 0 | 93 | 149 | 121 | Juniper Networks
| CA | 1 | 24 | 1 | 0 | 1 | 0 | 1 |
Senior Data Scientist | $84K-$136K (Glassdoor est.) | The Integer Group is looking for a Senior Data Scientistin our Dallas, Texas office.
JOB SNAPSHOT:
Our data and analytics team is looking for a Senior Data Scientist to join our fast-growing team. The ideal candidate will be intricately involved in the development and running of analytical and predictive experiments. This is the perfect opportunity for the successful candidate to become part of an innovative and energetic team that develops tools which influence both our internal products and that of our client's business.
As part of the I&S team you will be curious, adventurous and entrepreneurial. You will identify patterns, problems and opportunities via market research data, sales data, media data and propose creative solutions based on your data jujitsu. Work on datasets covering shopper behavior, shopper spending, consumer attitudes, media activity, competitive activity, and any other numbers you can get your hands on. Uncover insights that can help our clients solve their marketing and business problems. Develop systems and products for effective data management and reporting.
DUTIES AND RESPONSIBILITIES
Data science
Research and develop statistical models for data analysis
Develop custom data models and algorithms to apply to data sets
Use predictive modeling to increase and optimize ad targeting, customer experiences and other business outcomes.
Develop company A/B testing framework and test model quality
Identify and evaluate new data sources and partnerships
Collaborate with internal teams to understand business challenges and work collaboratively to find solutions
Articulate findings to internal stakeholders using strong written and verbal presentation and communication skills
Implement new tools and processes to monitor and analyze performance
Assure the integrity, quality and security of our data
Data analysis and management
Help advance and future proof our current analytic capabilities by
Automating current day to day measurement and analysis of campaign performance
Creating real-time dashboards, reports, and presentations that clearly synthesize learnings and communicate opportunities for clients.
Combining different data sets from different channels to provide clients with a full view of their entire environment
Driving key marketing insights and data-substantiated consumer stories to internal teams and clients
Reviewing and understanding the variances in goal achievement to goal
Partner with agency and client stakeholders to understand business objectives, structure key questions, and define metrics and report structure that support business needs.
Assist clients and agency teams with strategic thought leadership: know what data we need and what data is possible to acquire; keep abreast of and recommend leading data methods and tools; quickly synthesize and identify gaps in collection and/or integrity of data.
Analyze consumer data to identify high priority targets to develop consumer segmentation, consumer profiles and consumer focused brand positioning.
Inspire agency teams with data-driven ideas
Internal Thought Leadership
Assess the effectiveness and accuracy of new data sources and data gathering techniques
Explore new techniques and tools, and make recommendations for purchase or implementation.
Work closely with the data team and innovation lead on all A.I. and predictive model initiatives.
Support agency publications as needed (Shopper Culture, The Checkout, etc.).
Research, create and maintain consumer, brand and market trends using available data resources.
Act as consumer expert for client industries, track competitive and marketplace activities, conduct competitive reviews, identify and communicate implications for the client and other client stakeholder teams
Stay current and connected to cultural and marketing trends
Document everything thoroughly and elegantly
Create and maintain library of case studies, insights, trends and best practices
Contribute to agency new business projects as needed
QUALIFICATIONS AND REQUIREMENTS
We are looking for someone with a BA/BS alongside 4-6 years of experience in an appropriate discipline such as MIS, statistics, mathematics, computer science, or other quantative field (MA/MS preferred). Additionally, the candidate should be familiar with the following:
Statistical analysis, modeling and reporting
Statistical computer languages like R, Phython, etc.
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Has worked with Tableau or other business intelligence tools (experience with Datorama/real-time performance dashboarding preferred)
Experience in marketing or marketing communications is preferred (media, social, PR, eComm)
Experience working with an auto-ML tool like DataRobot is a plus
Strong problem solving skills with an emphasis on product development
A drive to learn and master new technologies and techniques
Strong analytical and intuitive skills
Strong knowledge of computers and computer sciences
Strong written and verbal skills, including the ability to prepare summaries and present to agency teams.
Collaborative and a good team player. No jerks or prima donnas
A self-starter that likes to get things done, learn by doing, and show initiative
Organized, detail-oriented, able to multitask and still stay organized
Positive and professional: takes ownership of tasks and willingly takes on new responsibilities
Strong communication and organization skills.
Able to travel as necessary.
Flexibility to work extra hours with little or no advance notification.
Intrigued? Apply at integer.com/careers today!
About The Integer Group®
The Integer Group® is the world's leading commerce agency, relentlessly focused on delivering Great Work That Works. We believe in creativity that is fueled by data, informed by culture, and delivered to the touchpoints that create connections and ultimately drive transaction. Through shopper marketing, retail strategy & design, eCommerce, integrated branding, and Commerce Connections Media, we accelerate conversion and build a brand's lifetime bond with its consumers. It's what we call living at the Intersection of Branding and Selling®. A key member of Omnicom Group Inc., The Integer Group has more than 1,100 associates in 25 offices across the globe, including locations in Africa, Asia, Australia, Europe, the Middle East, and North and South America. The Integer Group’s clients include AT&T, FedEx, Mars/Wrigley, Michelin, Nestlé, P&G, PepsiCo, Starbucks and more.
www.integer.com | 2.2 | The Integer Group
2.2 | Dallas, TX | Denver, CO | 501 to 1000 employees | 1,993 | Subsidiary or Business Segment | Advertising & Marketing | Business Services | $50 to $100 million (USD) | Geometry Global, TracyLocke, Saatchi & Saatchi X | 0 | 0 | 84 | 136 | 110 | The Integer Group
| TX | 0 | 27 | 0 | 0 | 0 | 0 | 0 |
PV Scientist | $60K-$123K (Glassdoor est.) | SUMMARY:
The Pharmacovigilance Scientist supports the medical component of pharmacovigilance activities including surveillance activities providing scientific/clinical PV expertise with a focus on the identification, evaluation and management of safety risks for Karyopharm products. They collaborate closely with the safety physician and cross-functional partners to evaluate and actively manage risks in accordance with global regulatory frameworks
RESPONSIBILITIES:
Organize and perform independently or collaboratively as necessary, the relevant safety data analysis for Safety Management Team meeting; ensure adequate documentation of meeting minutes
Create and maintain an effective signal tracking process that fully documents signaling activities and can be used for regulatory inspection
Support other function teams for Karyopharm investigational products; serve as PV expert and liaise with Clinical Operations, Biostatistics, Regulatory Affairs, Contract Research and other entities as needed
Contribute to health authority and other safety-related query responses
Demonstrate knowledge and ensure compliance with current and applicable global PV regulations and guidelines (e.g., CIOMS, EMA, FDA, ICH, etc.)
Ensure compliance with Karyopharm and PVG & Risk Management policies and procedures
Prepares aggregate safety reports (e.g. DSURs), including project management, safety database requests, understanding and writing the content, assimilating information from other groups, and quality checks
Plan and execute literature surveillance
Provide leadership in the development, implementation, and maintenance of robust procedures for the planning, preparation, and submission of high-quality safety reports
Support PV activities as needed
Bachelor’s degree required. PharmD, MD, PhD, MPH, an advance healthcare degree, or equivalent professional experience preferred
Preferred minimum of 2 years of pharmacovigilance or relevant experience, including at least 2 years of aggregate safety report writing
Thorough understanding of the drug development process and context applicable to safety surveillance activities
Knowledge of MedDRA terminology and its application
Excellent written and oral communication skills, strong attention to detail, and high-performance standards for quality
Ability to analyze, interpret, and summarize complex clinical and medical literature data
Ability to prioritize and complete work in a resourceful, self-sufficient manner while maintaining a strong mentality
Displays ability to understand established procedures and communicate those procedures to others
Exhibits comprehension of industry practices and regulations for drug development and pharmacovigilance
Demonstrates awareness of related medical disciplines and an understanding of general concepts and some experiential detail within those areas
Possesses computer skills to support use of electronic systems and development of writing deliverables
Karyopharm Therapeutics is a global commercial-stage pharmaceutical company focused on the discovery and development of novel first-in-class drugs directed against nuclear transport targets for the treatment of cancer and other major diseases.
Karyopharm Therapeutics Inc. (the "Company") is an equal opportunity employer. All qualified applicants will be considered without regard to age, race, color, sex, religion/creed, national origin, marital status, ancestry, citizenship, military, reservist or veteran status, pregnancy, sexual orientation or preference, gender identity, gender expression, physical or mental disability, genetic predisposition or carrier status, or any other category protected under applicable federal, state or local law. Consistent with its obligations under applicable law, the Company will make reasonable accommodations for qualified individuals with disabilities. If you require an accommodation in the application process, please contact a member of the Company’s Human Resources department. | 2.9 | Karyopharm Therapeutics Inc.
2.9 | Newton, MA | Newton, MA | 201 to 500 employees | -1 | Company - Public | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | Unknown / Non-Applicable | -1 | 0 | 0 | 60 | 123 | 91.5 | Karyopharm Therapeutics Inc.
| MA | 1 | -1 | 0 | 0 | 0 | 0 | 1 |
Clinical Data Analyst | $52K-$89K (Glassdoor est.) | Secure our Nation, Ignite your Future
Required Qualifications:
a. Bachelors degree or higher in Analytics, Business, Health or related field required.
b. Advanced skills with Microsoft Office suite and SharePoint collaboration software.
c. Experience with metric support.
d. Experience with Qlik View
Preferred Qualifications:
a. Experience with military technical documents including point papers, policies, and messages, and working in military environment preferred.
Task(s):
a. Perform data queries from appropriate central MHS and BUMED database systems (M2, MDR, etc.) and provide analytical support in evaluating and making recommendations from the data. Format and presentation of the data, analysis, evaluations or recommendations will be made for higher headquarters, MTFs, and others as needed. Develop and design strategies to sustain performance, metrics/methodologies and assist with the development of dashboards and suitable benchmarks for comparative measurement.
b. Develop predictive analytics models to assist in the projection of patient populations to support future planning and resource allocations.
Model methodology takes into account macroeconomic and demographic trends of served areas to predict future needs utilizing available data. These projections can be utilized by NAVMEDEAST for predicting future patient needs.
c. Research and analyze purchasedcare treatment options and establish metrics for evaluating health systems. Generate reports on the health systems directly competing with the MHS for treating TRICARE beneficiaries and analyze the impact of changes in MTF admittance policies on identified purchasedcare systems. Utilize mathematical models as needed to predict how do would react to changes in admittance policies and care at nonmilitary treatment facilities.
d. Utilize and support the development of available Course of Action (CoA) simulation tools to support quantitative decision making for NAVMEDEAST planning. The CoA tools will be designed to enable input of different scenarios to examine the differential impacts of proposed operational and policy changes under consideration.
e. Analyze the treatment costs between NAVMEDEAST facilities and purchased care health systems and develop detailed reports showing cost comparisons between facilities, patient populations, and for individual departments.
Methodology shall include creating cost models that predict shifts in total NAVMEDEAST patient care costs under different operational and policy changes.
f. Develop evidencebased analytics to support the assessment of clinic management practices, to include: provider profiling, provider productivity, panel size designation/determination, referral pattern analysis, utilization of ancillary services and related activities. Methodology includes the development predictive models for improving clinical operations and evaluate clinical currency, efficiency, and productivity.
g. Analytics support of multiphase diagnostics and implementation.
Commencement of tasks shall begin with diagnostics of the current state, future state recommendations, and future state implementation. Health Care Operations leadership/COR shall review the end of each phase for approval.
ManTech International Corporation, as well as its subsidiaries proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, color, sex, religion, age, sexual orientation, gender identity and expression, national origin, marital status, physical or mental disability, status as a Disabled Veteran, Recently Separated Veteran, Active Duty Wartime or Campaign Badge Veteran, Armed Forces Services Medal, or any other characteristic protected by law.
If you require a reasonable accommodation to apply for a position with ManTech through its online applicant system, please contact ManTech's Corporate EEO Department at (703) 218-6000. ManTech is an affirmative action/equal opportunity employer - minorities, females, disabled and protected veterans are urged to apply. ManTech's utilization of any external recruitment or job placement agency is predicated upon its full compliance with our equal opportunity/affirmative action policies. ManTech does not accept resumes from unsolicited recruiting firms. We pay no fees for unsolicited services.
If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access http://www.mantech.com/careers/Pages/careers.aspx as a result of your disability. To request an accommodation please click careers@mantech.com and provide your name and contact information. | 4.1 | ManTech
4.1 | Portsmouth, VA | Herndon, VA | 5001 to 10000 employees | 1,968 | Company - Public | Research & Development | Business Services | $1 to $2 billion (USD) | -1 | 0 | 0 | 52 | 89 | 70.5 | ManTech
| VA | 0 | 52 | 0 | 0 | 0 | 0 | 0 |
Data Engineer | $48K-$93K (Glassdoor est.) | Are you interested in a career opportunity with a growing software company? P2 Energy Solutions is dedicated to providing a positive culture where the ability to learn, collaborate, and make a difference is rewarded. We have a fast-paced, innovative culture where employees are empowered to provide a superior experience for internal and external customers.
Upstream oil and gas professionals who are focused on solving tough challenges rely on P2 software, data and analytics solutions to optimize their business performance. We are currently developing our solutions on mobile and in the cloud! More than 1,600 companies from around the world use P2 solutions every day to manage their land assets, measure and process financial information, optimize production, and manage their reserves. With more than 80 years of experience in data and 30 years in software, P2 has offices around the world, and employs approximately 600 people.
Interface with customers and conversion team to identify, develop, and implement transitioning of data from product to product. Assist with application development estimating, planning, and progress tracking. Data conversions work around the idea of taking source data from any format and projecting/inserting said data into the databases iLandMan uses. Although we’re actually using business logic to perform all actions, it’s still crucial to understand how bridge/association tables work as well as the fundamentals of database design and structure. Then, one must apply these concepts along with a working knowledge of how land data works in the oil and gas industry.
Job Requirements:
Create/Write scripts to transfer data from format to format
Comfort working in Microsoft based realms: operating systems and platforms (.NET), application servers (IIS), architecture, implementation patterns.
Experience with SQL Server, strong excel and database skills. Ability to clearly communicate technical ideas, whether to other technical peers ornon-technical project managers or customers.
Recommended Qualifications:
5-7 Years relevant Data Experience
Bachelors Degree, Computer Science or Engineering
Experience with web-based technologies: HTML, Jquery, Javscript, Web-Sockets. Knowledge of IT security concepts such as Auth 0, SSL/TLS, tokens.
Strong background of computer science and software development and scripting.
A passion for problem solving. Source data can and will be in all possible formats.
Must be able to envision how incorporating all data elements will work and fail in order to progress the project to the best possible solution.
An understanding of land terminology and how a system may be built around the industries standards.
An understanding of the difference between Lease based and Tract based systems. Since iLandMan is
Tract based we must strive to represent a Tract as a single instance. This helps to understand how we handle Contract Lessee Participation on a Depth basis.
Always be learning.
When in doubt, talk it out.
Show up and follow up.
Create positive energy.
Think beyond…
Please note: Assessment testing may be required for this position.
We offer a casual work environment, comprehensive benefits plan, generous PTO, and a competitive compensation structure. We have a positive culture designed around the philosophy of mutual respect and the challenge of contributing to the continued success of our organization. P2 is dedicated to individual and corporate growth opportunities, and we would love to talk to you further!
P2 Energy Solutions and its affiliated companies is an Equal Employment Opportunity employer. We also participate in the E-Verify program, a service of DHS and SSA. | 3.7 | P2 Energy Solutions
3.7 | Lafayette, LA | Denver, CO | 501 to 1000 employees | -1 | Company - Private | Computer Hardware & Software | Information Technology | Unknown / Non-Applicable | -1 | 0 | 0 | 48 | 93 | 70.5 | P2 Energy Solutions
| LA | 0 | -1 | 0 | 0 | 0 | 0 | 1 |
Computational Chemist/Data Scientist | $56K-$97K (Glassdoor est.) | *Organization and Job ID**
Job ID: 310562
Directorate: Earth & Biological Sciences
Division: Biological Sciences Division
Group: Exposure Science
*Job Description**
The Biological System Science (BSS) Group in the Biological Sciences Division of the Pacific Northwest National Laboratory (PNNL) is seeking one or more staff scientists (Assistant or Associate Professor equivalent) with multidisciplinary experience in computational chemistry, cheminformatics, advanced statistics and/or machine learning/deep learning/AI. Successful candidates will join a large, uniquely collaborative, collegial group of innovators driving the integration of data science, computational science and analytical chemistry to solve the nations most challenging problems in human health, chemical forensics, and national security.
Candidates are expected to lead existing projects as well as help grow the program by inspiring innovations that accelerate discovery of groundbreaking computational methods in high throughput small molecule identification and lead submission of competitive grants to a broad sponsor space. The BSS Group is diverse and inclusive, working closely with colleagues across the laboratory with expertise in computational biology, integrative omics, applied mathematics, computer science, and statistics. Preferred candidates will have a broad understanding of the state of computational metabolomics and experience in designing and implementing novel deep learning networks for chemistry applications.
These positions have the responsibilities and expectations of an assistant or associate professor or professor: Will establish and grow scientific programs, built multi-disciplinary teams across the research organization, contribute to ongoing research programs, mentor and grow junior staff, establish or maintain a national reputation, build collaborations and train post-docs and students. While this position is equivalent to an associate professor or professor position, PNNL itself does not have titled professor positions. PNNL actively supports joint appointments with academic institutions across the U.S.
Discipline, principal job duties/expectations, and qualitative and quantitative measures of performance that exceed the Functional Descriptor:
Responsibilities include:
+ Selects and develops technical approaches on assignments with occasional oversight on complex problems. Principal investigator or co-PI on projects or tasks, while integrating capabilities of work team members. Supports/takes lead in scoping, scheduling, and budgeting at a project or major task level. Generates new ideas for proposals and business development opportunities while leading development of technical section of small to medium proposals. Demonstrates ability to acquire funding for self with programmatic impact at the sector and division level. Serves as a role model for quality.
+ Develops and optimizes capabilities at the division level. Develops external reputation. Builds/leads effective project teams with membership across a group, S&E domain and/or directorate. Contributes to the local organization through mentorship of junior staff and taking on operational assignments.
+ Leads organizational teams that proactively identify and promote new capabilities within a division and S&E domain and advance the directorate.
The hiring level will be determined based on the education, experience and skill set of the successful candidates based on the following:
Level 3: Manages small to moderate projects and/or major project tasks. Integrates intellectual and technical capabilities of work teams. Enhances technical/professional skills of junior staff through active mentoring and training. Generates ideas for new proposals and participates in business development activities.
Level 4: Conceives, plans, and executes R&D with considerable influence on scientific and technological developments. Displays considerable leadership in defining scientific and technical objectives across programs. Leads in the capture, planning, and technical execution of complex interdisciplinary projects and programs across organizational boundaries with lab level impact, and outside of the laboratory.
*Minimum Qualifications**
+ BS with 5+ years of experience, or MS with 3+ years of experience, or PhD with 1+ years of experience in computational chemistry, machine learning, chemical engineering, or related field.
+ Demonstrated success in training scientists/students in computational chemistry, metabolomics, mass spectrometry, or computational metabolomics.
+ Work history of leading interdisciplinary teams to develop and execute project or major task research projects.
+ Strong publication record
+ Intermediate to expert-level programming and high-performance computing experience.
*Preferred Qualifications**
+ PhD in computational chemistry, chemical engineering, or related field with 3+ years of independent research experience.
+ U.S. Citizenship, potential for obtaining a security clearance.
+ Nationally recognized scientific leadership.
+ Demonstrated track record of successful/funded proposals.
+ Strong verbal and written communications skills.
+ Experience coding in Python, using NWChem, Gaussian, or comparable software.
*Equal Employment Opportunity**
Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov.
*_Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from participation in certain foreign government talent recruitment programs. If you are offered a position at PNNL and are currently a participant in a foreign government talent recruitment program you will be required to disclose this information before your first day of employment._**
_Directorate:_ _Earth & Biological Sciences_
_Job Category:_ _Scientists/Scientific Support_
_Group:_ _Exposure Science_
_Opening Date:_ _2020-02-25_
_Closing Date:_ _2020-05-24_ | 3.8 | PNNL
3.8 | Richland, WA | Richland, WA | 1001 to 5000 employees | 1,965 | Government | Energy | Oil, Gas, Energy & Utilities | $500 million to $1 billion (USD) | Oak Ridge National Laboratory, National Renewable Energy Lab, Los Alamos National Laboratory | 0 | 0 | 56 | 97 | 76.5 | PNNL
| WA | 1 | 55 | 1 | 0 | 0 | 0 | 0 |
Data Engineer | $65K-$119K (Glassdoor est.) | At MassMutual, were passionate about helping millions of people find financial freedom and this passion has driven our approach to developing meaningful experiences for our customers. The Data Engineering team, part of the Enterprise Technology and Experience, is comprised of highly skilled, collaborative, problem solvers who are motivated to create innovative solutions that exceed the changing needs of our customers and move MassMutual and the industry forward.
To continue our cutting-edge work, we are hiring an Advanced Data Engineer to join our team.
What great looks like for this role:
Our ideal Advanced Data Engineer is a collaborative leader skilled in designing and constructing highly scalable data management systems. Youre also committed to data integrity, are highly analytical, and can work on multiple projects at once. Youll use your skills to develop, monitor, and manage data systems across our platform. Additionally, you will act as a mentor to junior team members and coach them on best practices and engineering standards. The team culture of working collaboratively, cross-functionally, using new technologies combined with the work/life balance provided by MassMutual are core reasons people enjoy working on the Data Engineering team at MassMutual.
Objectives of this role:
Design, construct, install, test and maintain highly scalable data management systems.
Ensure systems meet business requirements and industry practices.
Design, build, and maintain a high-performance streaming and messaging platforms to support the enterprise.
Daily and Monthly Responsibilities:
Design, build, and maintain a high-performance streaming and messaging platforms to support the enterprise.
Create messaging standards for our messaging platforms.
Develop tools and processes to support the platform.
Create custom software components (e.g. specialized UDFs) and analytics applications.
Work across departments and business units to define patterns and data needs.
Translate high-level business requirements into technical specs.
Basic Qualifications:
Bachelors degree in computer science or engineering.
4+ years of experience with designing and building data platforms.
3+ years of experience with streaming/messaging platforms (Kafka, MQ, RabbitMQ, etc)
3+ years of coding and scripting (Python, Java, Scala) and design experience.
Expertise in tuning and troubleshooting streaming/messaging platforms.
Experience with ELT methodologies and tools.
Strong data integrity, analytical and multitasking skills.
Excellent communication, problem solving, organizational and analytical skills.
Able to work independently.
Authorized to work in the USA with or without sponsorship.
Preferred Qualifications:
Ability to setup and maintain a Kafka Cluster
Experience with Spark
Experience with designing an automating deployment process (CI/CD)
Basic knowledge of database technologies (Vertica, Redshift, etc) | 3.6 | MassMutual
3.6 | Springfield, MA | Springfield, MA | 5001 to 10000 employees | 1,851 | Company - Private | Insurance Carriers | Insurance | $10+ billion (USD) | -1 | 0 | 0 | 65 | 119 | 92 | MassMutual
| MA | 1 | 169 | 1 | 0 | 1 | 0 | 1 |
Principal Data Scientist (Computational Chemistry) | $108K-$173K (Glassdoor est.) | At Recursion, we combine experimental biology, automation and artificial intelligence to quickly and efficiently identify treatments for human diseases. The Principal Data Scientist (Computational Chemistry) will identify and use computational chemistry methods, integrating them with machine learning and data science approaches to augment our AI platform, accelerate our current drug discovery programs, and lead towards the discovery of high value medicines.
THE PROBLEMS YOU'LL SOLVE
This is an individual contributor position reporting to the Director, Data Science, in which you'll help lead the expansion of Recursion's capabilities downstream of our high-throughput image-based phenotypic discovery platform. Specifically, you will collaborate with teams spanning data science, chemistry, and biology to apply ligand-based drug design techniques in the context of therapeutic project teams, and help guide methods development efforts in this area to complement a phenotypic-discovery-oriented process.
In this role you will:
Build. You will advance chemistry related R&D processes across Recursion's small molecule discovery programs by identifying and building computational tools to accelerate and automate them. You will apply the methods in hit to lead and lead optimization programs. In collaboration with chemistry, you will actively identify opportunities to contribute to Recursion's chemical space strategy, e.g. in evolving the screening library.
Guide, Create, and Question. Just because something has been done one way for decades doesn't mean it's optimal. You will bring new methods to bear while staying thoughtful about the value that exists from many tried and true approaches, and guide your peers in the implementation of a creative vision for computational chemistry in drug discovery.
Code. You are both a chemist and technologist at heart and won't be happy unless you are also writing code to be used throughout the organization.
THE EXPERIENCE YOU'LL NEED
Advanced degree in Computational Chemistry, Physical Organic Chemistry, Computer Science, Machine Learning, or relevant fields.
Experience in shaping and executing programs in computational medicinal chemistry and pharmacology as part of multidisciplinary teams.
Demonstrated contributions that changed the course of both active therapeutic candidate projects and longer-term research and development programs.
3+ years experience in developing ligand-based drug design methods, including pharmacophore modeling, QSAR, 3D-QSAR, and conformational analysis.
Experience in developing novel predictive models for DMPK/Tox in the context of active candidate programs is desirable.
Experience developing new methods and products in computational chemistry for virtual library assembly and screening
Experience in machine learning applied to chemistry, including both classical (e.g., matched-pairs and substructure analysis) and recent (e.g., representation learning and graph convolutional) methods.
Expertise programming in thePython data stack, including ML packages such as Scikit-Learn,PyTorch, and Tensorflow/Keras, in a Linux environment.
THE PERKS YOU'LL ENJOY
Coverage of health, vision, and dental insurance premiums (in most cases 100%)
401(k) with generous matching (immediate vesting)
Stock option grants
Two one-week paid company closures (summer and winter) in addition to flexible, generous vacation/sick leave
Commuter benefit and vehicle parking to ease your commute
Complimentary chef-prepared lunches and well-stocked snack bars
Generous paid parental leave (including adoptive)
Fully-paid gym membership to Metro Fitness, located just feet away from our new headquarters
Gleaming new 100,000 square foot headquarters complete with a 70-foot climbing wall, showers, lockers, and bike parking
WHAT WE DO
Recursion is reinventing the pharmaceutical industry's approach to drug discovery. Our unique platform combines the most advanced biology, high-throughput automation, and artificial intelligence to rapidly discover treatments for rare diseases, diverse immune and inflammatory diseases and new indications in the future.
Recursion is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Recursion strictly prohibits and does not tolerate discrimination against applicants because of race, color, religion, creed, national origin or ancestry, ethnicity, sex, pregnancy, gender (including gender nonconformity and status as a transgender individual), age, physical or mental disability, citizenship, past, current, or prospective service in the uniformed services, or any other characteristic protected under applicable federal, state, or local law.
Check out what it is like to work at Recursion: https://www.youtube.com/watch?v=UpOENLieOd8 | 4.7 | Recursion Pharmaceuticals
4.7 | Salt Lake City, UT | Salt Lake City, UT | 51 to 200 employees | 2,013 | Company - Private | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $1 to $5 million (USD) | -1 | 0 | 0 | 108 | 173 | 140.5 | Recursion Pharmaceuticals
| UT | 1 | 7 | 1 | 0 | 0 | 1 | 0 |
Product Engineer – Data Science | $63K-$101K (Glassdoor est.) | Overview
The Product Engineer for applied Data Science will perform a wide variety of statistical and analytical techniques using the ArcGIS API for Python and other Web GIS tools along with other open source or proprietary analytic tools and capabilities commonly employed across national security related problems. All work performed in this role is from the perspective of a customer-user in the role of a Data Scientist working on national security challenges and problems. From this perspective, the overarching goal of the Product Engineer is to create the right ArcGIS products and experiences to meet the analytic needs across the national security community. This work will include performing, documenting and teaching a wide variety of technical tasks, developing best practices, creating tutorials and documentation, identifying new technical requirements, and improving the analysis tools and APls.
Responsibilities
Participate in the design, release and successful adoption of the Python API for ArcGIS across multiple industries and a particular focus on national security interests.
Develop sample integrations, tutorials and documents for working with Jupyter Notebooks and the ArcGIS System
Leverage open source as well as proprietary modules using Python
Perform bug fixes and maintenance tasks for relevant and related products
Write samples and guides using Jupyter Notebooks, SOK guides and blog posts
Design, test, release, and support ArcGIS software for geoprocessing and analysis to enhance overall product quality and applicability for supporting data science workflows and needs
Participate in the design of new functionality for future releases
Identify workflow, data sources and enhancements for existing analytic methods and techniques
Evangelize data science community to our software community through various venues such as user documentation, educational materials, social media and online content
Requirements
Ability to apply analytical rigor and statistical methods to data and be comfortable manipulating and analyzing complex, high-volume, and high-dimensionality data from varying sources.
Incumbents are effective communicators capable of independently driving issues to resolution and communicating insights to non-technical audiences.
Strong background in statistical theory and application
Industry experience with case analysis, requirement gathering, and documenting to enhance existing software
Experience with designing, documenting, and executing functional test plans, in a commercial software environment
Knowledge of mocking up user experience modifications to support new software features
2 or more years experience with geoprocessing and Python scripting
Knowledge of RDBMSs, such as Oracle, SQL Server, etc.
Bachelor's or master's in GIS, statistics, geoscience, or related field, depending on position level
Questions about our interview process? We have answers.
#LI-JO1
The Company
Our passion for improving quality of life through geography is at the heart of everything we do. Esri’s geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.
Carefully managed growth and zero debt give Esri stability that is uncommon in today's volatile business world. Privately held, we offer exceptional benefits, competitive salaries, 401(k) and profit-sharing programs, opportunities for personal and professional growth, and much more.
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
If you need a reasonable accommodation for any part of the employment process, please email humanresources@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. | 3.5 | Esri
3.5 | Arlington, VA | Redlands, CA | 1001 to 5000 employees | 1,969 | Company - Private | Computer Hardware & Software | Information Technology | $1 to $2 billion (USD) | Pitney Bowes | 0 | 0 | 63 | 101 | 82 | Esri
| VA | 0 | 51 | 1 | 0 | 0 | 0 | 0 |
Principal Scientist, Chemistry & Immunology | $54K-$115K (Glassdoor est.) | SUMMARY
The Principal Scientist will report to the Director of Scientific Affairs, and will be responsible for management and execution of analytical technical activities and ensure their quality for ACM Clinical Laboratory, Inc. Responsibilities will include development of comprehensive policies and procedures for test and analyzer evaluation, development, validation and implementation. This position will work closely with the Scientific Affairs, Proposals and Business Development to ensure ACM Global Laboratories can provide high quality clinical insights to our clients, impacting patients around the world.
STATUS: Full time
LOCATION: ACM Global Laboratories - Headquarters (160 Elmgrove Park, Rochester, NY)
DEPARTMENT: Clinical Trials
SCHEDULE: Days
ATTRIBUTES
PhD in related chemical, physical, or biological science field required.
2-5 years laboratory experience and prior management or supervisory experience required.
2-5 experience in Chemistry & Immunology required.
2 years of laboratory management experience required.
Certificate of Qualification in Clinical Chemistry or Cellular Immunology preferred.
Board Certification (ABB, ABCC, ABFT, ABHI, ABMGG, ABMLI, ABMM, NRCC) preferred.
RESPONSIBILITIES
Method & Test Development. Oversee the development, validation, and implementation of new tests and procedures to ensure the clinical laboratory meets the needs of all clients, especially non-FDA approved assays to support Clinical Trial clients. Ensure appropriate technical methods are utilized. Develop protocols and oversee laboratory instrument selection, evaluation, validation and implementation. Advise on selection of new instrumentation globally. Prepare scientific data, including sample stability, method information, reference ranges, etc. to support test menu development. Participate in Continuous Professional Development and any other activity needed to ensure continuing registration as a Clinical Scientist or Laboratory Director, and keep abreast of new developments in the Biomedical Sciences and Clinical specialty and advise on new initiatives as appropriate.
Quality. Provide scientific and technical support on interpretation of laboratory data as required. Establishing and signing off acceptance of reference ranges. Review and approve validation studies of each test for clinical use. In conjunction with the laboratory manager, periodically review laboratory and quality control/assessment data to ensure accurate and precise results are continually produced, and participate in the ACM Global inter-laboratory correlation and standardization process. Supervise the training of staff in new techniques as necessary. Work with the QA department in writing and reviewing Standard Operating Procedures and relevant documentation as necessary. Participation in all activities that seek to ensure compliance with GCP guidelines and CAP accreditation. Comply with policies for the safe, secure and confidential processing and storage of patient and other laboratory information.
Client Relations. Review client protocols and prepare proposals and quotations to assist the business development team. Advise as necessary. Liaise with Proposals and Business Development and the VP of clinical operations to advice on methodology, instrumentation and costs for new assays to be introduced into the laboratory to assist in the development of quotations. Provide test analytical information and participate in conference calls and meetings with clinical trials analysts, business development and ACM clients.
Rochester Regional Health is an Equal Opportunity / Affirmative Action Employer. Minority/Female/Disability/Veteran | 3.3 | Rochester Regional Health
3.3 | Rochester, NY | Rochester, NY | 10000+ employees | 2,014 | Hospital | Health Care Services & Hospitals | Health Care | $500 million to $1 billion (USD) | -1 | 0 | 0 | 54 | 115 | 84.5 | Rochester Regional Health
| NY | 1 | 6 | 0 | 0 | 0 | 0 | 0 |
Scientist/Senior Scientist, Autoimmune | $90K-$179K (Glassdoor est.) | Rubius Therapeutics is a clinical-stage biopharmaceutical company that is generating red blood cells and engineering them into an entirely new class of allogeneic, off-the-shelf cellular medicines. Our Red Cell Therapeutics™ can potentially be used to replace missing enzymes for patients living with rare enzyme deficiencies, kill tumors in cancer and regulate the immune system for the treatment of autoimmune diseases. We expect to begin enrolling patients in our first clinical trial during the first half of 2020, which is evaluating RTX-134 for the treatment of phenylketonuria, an inherited metabolic disorder. Additionally, we have filed our first oncology IND for RTX-240 for the treatment of solid tumors. We plan to file an IND for RTX-321 for the treatment of HPV-Positive Tumors by year-end.
We are proud of our passionate, high-performance culture – one based on a set of values that are the cornerstone of who we are and how we hold ourselves accountable. Founded in 2013, we are based in Cambridge, MA and currently expanding across all functions within the organization. Having completed our initial public offering in July 2018, (Nasdaq: RUBY), we are well capitalized to execute our vision of creating life-changing cellular medicines. Red blood cells are no longer just for carrying oxygen. Check us out at www.rubiustx.com or follow us on Twitter and LinkedIn.
Summary
We are looking for a Senior Scientist/Scientist to join our Autoimmune group to help drive key autoimmune programs. The candidate must be independent, goal oriented, technically competent and able to efficiently work across multiple projects. We are searching for enthusiastic, innovative, and highly motivated individuals, with deep scientific background in immunology, preferably autoimmune diseases, who are comfortable working in a fast-paced entrepreneurial environment.
Responsibilities
Work closely with a team of scientists in the Discovery teams to drive key autoimmune projects.
Design and execute experiments for non-routine in vitro immune assays, in vivo studies, and ex vivo assays.
Phenotyping immune populations, sample preparation for in vivo studies, sample analysis.
Independent data analysis and proper electronic notebook record keeping.
Communication of experimental plans and data to multiple cross-functional scientific teams.
Support the continued protection, creation, and expansion of company’s intellectual property.
Assist in maintaining a strong, entrepreneurial and creative culture with a clear sense of urgency and focus on providing transformational therapies to patients.
Qualifications & Education
Ph.D. degree in biology, immunology, biochemistry, bioengineering or related discipline and 2+ years of relevant laboratory experience, pharmaceutical or biotechnology industry preferred.
Deep knowledge of immunology, preferably DC and T cell biology, and systematic approach to understanding inflammatory and tolerance molecular mechanisms.
Research background in autoimmune disease.
Strong experimental skills, including tissue culture, isolation and culture of primary immune cells, primary immune cell assays, flow cytometry, ELISA, and in vivo model development.
Passionate about working at the bench to independently contribute to research directions and solve challenging issues.
Detail oriented, self-motivated, and comfortable working with highly technical projects and personnel.
Ability to work on multiple projects simultaneously and deliver conclusive results.
Highly adaptable and responsive to delivering for challenging commitments.
Effective written and oral communication skills.
Team oriented with strong work ethic.
EEO Statement: Rubius Therapeutics is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
Recruitment & staffing agencies: Rubius Therapeutics does not accept agency resumes unless contacted directly by internal Rubius Talent Acquisition. Please do not forward resumes to our careers@rubiustx.com account, Rubius employees or any other company location; Rubius Therapeutics is not responsible for any fees related to unsolicited resumes. | 4.4 | Rubius Therapeutics
4.4 | Cambridge, MA | Cambridge, MA | 201 to 500 employees | 2,013 | Company - Public | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $100 to $500 million (USD) | -1 | 0 | 0 | 90 | 179 | 134.5 | Rubius Therapeutics
| MA | 1 | 7 | 0 | 0 | 0 | 0 | 0 |
Data Scientist | $127K-$202K (Glassdoor est.) | Samba TV is uniquely positioned at the forefront of the TV revolution. The way people discover, watch, and engage with television has fundamentally changed, and we're connecting the dots to help better understand audience trends and viewership habits for marketers.
We are changing how industry leaders and consumers think about TV, and we're looking for a Data Scientist who is not afraid to challenge the status quo and would like to make a meaningful impact on our innovative products.
Responsibilities
Data Scientists at Samba TV work closely with Product, Engineering, and other teams on a variety of projects, including but certainly not limited to:
Improving our core viewership algorithms and defining metrics to estimate the impact those changes
Using statistical methodologies to estimate the effectiveness of our clients' advertising campaigns while controlling for confounding factors
Building predictive models that extend our data to all TV watchers, both in the US and abroad
Qualifications
You likely, but not necessarily, have an educational background in a quantitative discipline such as statistics, computer science, physics, or econometrics. However, data scientists come from a wide range of backgrounds, so consider applying if you have experience doing the following:
Turning vague and ambiguous problems into an actionable sequence of steps
Using probability, statistics, predictive modeling, machine learning, or other quantitative methodologies to solve real-world problems
Writing understandable and replicable code to work with data
Explaining complex concepts to both technical and non-technical audiences
Recommending next steps based on your findings | 3.3 | Samba TV
3.3 | San Francisco, CA | San Francisco, CA | 201 to 500 employees | 2,008 | Company - Private | Advertising & Marketing | Business Services | Unknown / Non-Applicable | -1 | 0 | 0 | 127 | 202 | 164.5 | Samba TV
| CA | 1 | 12 | 0 | 0 | 0 | 0 | 0 |
Market Data Analyst | $31K-$57K (Glassdoor est.) | We are seeking a creative, data driven Marketing Analyst to join our fast paced, growing organization. Candidate is responsible for researching product and manufacturing trends, evaluating campaign results and making recommendations for growth and operating efficiency improvements to our management team. The ideal candidate will have experience with complex data mining/analysis and implementation. This is a growth position with upward mobility. Complete benefit package includes medical, dental, vision life insurance, student loan repayment assistance and a 401(k) company matched contribution.
Responsibilities:
Evaluate market trends and patterns to suggest new & complementary products
Manage Distribution Price List and analyze market data to identify cause and effect relationships
Evaluate product, pricing, placement (distribution channels) and promotion (advertisements/marketing campaigns) and present recommendations to management
Work closely with Distribution Channel Partners to grow market share in under-represented markets
Examine return on investment of marketing campaigns
Travel to customers and industry events to gather market intelligence
Visit other Amphenol Business Units domestically and internationally to learn best-practices and facilitate implementation internally
Work closely with Sales and Marketing to track competitive landscape and market trends
Requirements:
Undergraduate or Masters degree in Marketing, Business, Engineering or related field
Demonstrated aptitude for analytics
Proven record of leadership in a work setting and/or through extracurricular activities
Exceptional analytical and quantitative problem-solving skills
Ability to work collaboratively in a team environment
Ability to work effectively with people at all levels in an organization
Preferred:
1-3 years of experience in a fast-paced global manufacturing environment
“An Equal Opportunity Employer” Minority/Female/Disabled/Vet/Sexual Orientation/Gender Identity or National Origin" Drug free workplance.
ITAR - The candidate must be able to legally work in the United States; we are unable to provide sponsorship. Position requires candidate to be a US Person as defined in ITAR, 22 CFR 120.15 (US Citizenship or Resident Alien Status) and defined by 8 USC 1101(a) (20). | 3.4 | SV Microwave
3.4 | West Palm Beach, FL | West Palm Beach, FL | 201 to 500 employees | 1,991 | Company - Public | Telecommunications Manufacturing | Telecommunications | $50 to $100 million (USD) | -1 | 0 | 0 | 31 | 57 | 44 | SV Microwave
| FL | 1 | 29 | 0 | 0 | 0 | 0 | 0 |
Software Engineer - Data Visualization | $60K-$127K (Glassdoor est.) | Join ClearEdge and be a part of the team of men and women that solve some of the DoD’s most complex technical challenges. Every day, ClearEdge empowers customers in government and industry with innovative data driven solutions.
Check out our extremely competitive benefits package at clearedgeit.com/benefits.
Your mission: Work with a dynamic team and key stakeholders to generate and execute challenging solutions to mission problems.
We are seeking Software Engineers of all levels who are experienced with data visualization, interactive data-driven visualizations, and user interface design. The position requires a self-starter with excellent problem-solving skills. The right person will work closely with the customer to gather requirements for the design and development of data visualization software, techniques, and algorithms.
The candidate should have experience creating and building custom, re-usable data visualizations based on statistical and mathematical modeling and data analysis to be used to solve a variety of problems related to data reporting. Seeking engineers with the ability to overcome information overload, are familiar with accessibility compliance, information design, and human factors and usability design.
You will excel in this role if you are:
Results-oriented developer who can leverage your technical skills and techniques to successfully design, develop, and deploy analytic software solutions
Self-motivated with a desire to build new skills
Are familiar with Agile frameworks and methodologies with a desire to be a certified SCRUM Master
Enjoy learning new technologies, are a forward thinker, and are interested in growing your career with a cutting-edge technology company
A day in the life: (just a few of the things you may do on any given day) You will be joining a high-performance team for an established and growing employee-focused company. This involves:
Designing, developing, and deploying data visualizations, interactive dashboards, and user interface solutions
Applying knowledge of technical computing platforms, tools, and techniques to analyze information and data requirements obtained from data scientists, analysts, and other business stakeholders
Planning and proposing solutions for the optimization of data integration strategies, intuitive designs, and enterprise interactive dashboards
Formulating simulation models of operational problems and proposed solutions related to integrating and analyzing using dynamic data visualizations that incorporate intuitive interfaces, infographics, interactive drill-downs, movements
Working across multi-functional teams to formulate, prototype, implement, and fine tune solutions
Educating product development and operations teams on the use of data visualizations developed
Collecting feedback to make continuous improvements to new and existing data visualizations
Contributing to guidelines and design conventions and standards for modeling and data visualizations
Establishing strong, collaborative working relationships with Government customers, technical staff, and peers
What we are expecting from you (i.e., the qualifications you must have)
Experience in the design, development, and deployment of software systems
Bachelor’s or Advanced degree in Computer Science, Computer Engineering, or other technical discipline
Front-end application frameworks such as Vue, React, Angular
HTML/CSS frameworks such as Bootstrap, Zurb, Material
Experience developing client-side applications using JavaScript
JavaScript libraries such as Bootstrap, jQuery, Leaflet, D3.js
Strong analysis and problem-solving experience
Nice to Have
Comfortable meeting with customers and peers to explore change requests, bugs and new ideas
Customer technical support experience
Documentation experience, to include up-front design documentation
About us: Experienced advanced analytic development company providing new cyber solutions to current and emerging missions
Our Core Values of Honesty, Integrity, Loyalty, Fairness, Respect, Responsibility, and Accountability drive our mission and vision and are the heart of what we do each day. We combine our Core Values with the three key elements of people, technology, and integrity to repeatedly deliver stellar results within our primary competencies.
ClearEdge is also pleased to share that we have recently expanded our prime and subcontract presence into new cyber markets!
If this position does not fit your skillset, please visit our Careers page to explore our current openings, or contact a ClearEdge recruiter at careers@clearedgeit.com. ClearEdge is an equal opportunity employer. | 4 | ClearEdge
4.0 | Annapolis Junction, MD | Annapolis Junction, MD | 51 to 200 employees | 2,002 | Company - Private | Computer Hardware & Software | Information Technology | $5 to $10 million (USD) | -1 | 0 | 0 | 60 | 127 | 93.5 | ClearEdge
| MD | 1 | 18 | 0 | 0 | 0 | 0 | 1 |
Data Engineer | $75K-$143K (Glassdoor est.) | About SpringML
At SpringML, we are all about empowering the doers in companies to make smarter decisions with their data. Our predictive analytics products and solutions apply machine learning to todays most pressing business problems so customers get insights they can trust to drive business growth.
We are a tight knit, friendly team of passionate and driven people who are dedicated to learning, get excited to solve tough problems and like seeing results, fast. Our core values include putting our customers first, empathy and transparency, and innovation. We are a team with a focus on individual responsibility, rapid personal growth and execution. If you share similar traits, we want you on our team.
Whats the opportunity?
SpringML is looking to hire a topnotch Data Engineer who is passionate about working with data and using latest distributed framework to process large dataset.
As a Data Engineer, your primary role will be to design and build data pipelines. You will be focused on helping client projects on data integration, data prep and implementing machine learning on datasets. In this role, you will work on some of the latest technologies, collaborate with partners on early win, consultative approach with clients, interact daily with executive leadership, and help build a great company.
Chosen team member will be part of the core team and play a critical role in scaling up our emerging practice.
Responsibilities
Ability to work as a member of a team assigned to design and implement data integration solutions.
Build Data pipelines using standard frameworks in Hadoop, Apache Beam and other open source solutions.
Learn quickly ability to understand and rapidly comprehend new areas functional and technical and apply detailed and critical thinking to customer solutions.
Propose design solutions and recommend best practices for large scale data analysis
Desired Skills and Experience
B.S. or equivalent degree in computer science, mathematics or other relevant fields.
5-10 years of experience in ETL, Datawarehouse, Visualization and building data pipelines.
Strong Programming skills experience and expertise in one of the following: Java, Python, Scala, C.
Proficient in big data/distributed computing frameworks such as Apache Spark, Kafka,
Experience with Agile implementation methodologies.
Powered by JazzHR | 4.4 | SpringML
4.4 | Herndon, VA | Pleasanton, CA | 1 to 50 employees | 2,015 | Company - Private | Enterprise Software & Network Solutions | Information Technology | Unknown / Non-Applicable | -1 | 0 | 0 | 75 | 143 | 109 | SpringML
| VA | 0 | 5 | 1 | 0 | 1 | 0 | 0 |
Staff Data Engineer | $105K-$194K (Glassdoor est.) | Sumo Logic: Staff Data Engineer
What we do:
We are a cloud-native SaaS machine data analytics platform, solving complex monitoring problems for DevOps, SecOps and ITOps teams. Customers love our product because it allows them to easily monitor and optimize their mission critical, large scale applications.
Massive Scale:
Our microservices architecture in AWS ingests hundreds of terabytes daily across many geographic regions. Millions of queries a day analyze hundreds of petabytes of data.
At Sumo Logic, we are building a data platform designed to power the analytics and investigations that are common in the Security Operation Centers of large enterprises. It is designed to accept hundreds of billions of events from security-relevant data sources (detection products, network sensors, log shippers, inventory systems) per day. It is cloud-native, with no plan to support an on-premise deployment. It is multi-tenant, and is designed to simultaneously process events from thousands of our customers. And, it is security-focused — it is designed to perform the kinds of stateful analyses that security analysts demand.
We are building this platform the way startups should — with ruthless prioritization, and with a live and demanding customer base. By joining as a Data Engineer, you have the opportunity to make our vision a reality, one feature at a time.
What You Will be Doing
Building, improving, maintaining, and scaling stream processing services.
Writing code. Reviewing code. Revising code.
Giving feedback on our standards. Holding your team mates to them.
Collaborating with teammates on major feature designs. Sometimes, you will own features, sometimes others will.
Helping our team grow organically. We value referrals. We value your feedback on candidates.
Who You Are
You are a software engineer. (We treat our data systems as software systems, and engineer them accordingly.)
You love working with data. (Small data. Big data. All the data.)
You are excited to optimize for events per second (not requests per second).
You have experience working with (or, at minimum a desire to work with) the technologies we use: Kafka, RocksDB, ElasticSearch, JanusGraph, Postgres, Spark, HBase.
You know (or want to write software in) Scala.
You love collecting data about your software as much as writing software that collects data. We measure everything. We make data-driven decisions.
You are collaborative. Nothing this hard can be accomplished by working alone. We work as a team.
Masters in Computer Science or equivalent experience (PHD in CS is a huge plus)
About Us
Mission:
Democratize machine data analytics through the Sumo Logic platform, bringing real-time data insights securely through the cloud.
Funding and Growth:
We have raised $345 million in funding to date, with the most recent round being May 2019. Investors include Battery Ventures, Greylock Partners, Sutter Hill Ventures, Accel Partners, Sequoia Capital, Sapphire Ventures and DFJ Growth. Our recurring revenue and customer base are growing steadily. We serve over 2,000 customers across the globe including Alaska Airlines, Anheuser Busch, Hootsuite, Hearst, Hudl, Major League Baseball, Marriott, Medidata, Sauce Labs, Samsung SmartThings, SPS Commerce, Twitter, Telstra, Toyota, Zuora and more. | 3.8 | Sumo Logic
3.8 | Austin, TX | Redwood City, CA | 501 to 1000 employees | 2,010 | Company - Private | Computer Hardware & Software | Information Technology | Unknown / Non-Applicable | Splunk, Datadog, Elastic | 0 | 0 | 105 | 194 | 149.5 | Sumo Logic
| TX | 0 | 10 | 0 | 0 | 1 | 1 | 0 |
Associate Data Engineer | $45K-$86K (Glassdoor est.) | About EAB
At EAB, our mission is to make education smarter and our communities stronger. We harness the collective power of 1,600+ schools, colleges, and universities to uncover and apply proven practices and transformative insights. And since complex problems require multifaceted solutions, we work with each school differently to apply these insights through a customized blend of research, technology, and services. From kindergarten to college and beyond, EAB partners with education leaders, practitioners, and staff to accelerate progress and drive results across three key areas: enrollment management, student success, and institutional operations and strategy.
At EAB, we serve not only our partner institutions but each other—that's why we are always working to make sure our employees love their jobs and are invested in their community. See how we've been recognized for this dedication to our employees by checking out our recent awards.
For more information, visit ourCareers page.
The Role in Brief:
Associate Data Engineer
Are you a data enthusiast who seeks to tease out meaning from complex data flows and assets? Are you a talented problem solver who can transform abstract problems into elegant technical solutions? We are looking for a Data Modeler to join our team of engineers and data analysts focused on designing, creating, and delivering data solutions as part of our state-of-the-art cloud based products. The successful candidate will have the opportunity to build a world-class solution to help our higher education partners solve challenging problems through data.
This role is based in Washington, DC.
Primary Responsibilities:
Responsible for data modeling and schema design that will range across multiple business domains within higher education
Partner with multiple stakeholders including partners, new product development, BI engineers to develop scalable standard schemas
Work with partners to research and conduct business information flow studies
Codify high-performing SQL for efficient data transformation
Coordinate work with external teams to ensure a smooth development process
Support operations by identifying, researching and resolving performance and production issues
Basic Qualifications:
1+ years of experience working with relational or multi-dimensional databases
Experience developing logical data models within a data warehouse
Experience developing ETL processes
Demonstrated mastery in one or more SQL variants: PostgreSQL, MySQL, Oracle, SQL Server, or DB2
Demonstrated mastery in database concepts and large-scale database implementations and design patterns
Proven ability to work with users to define requirements and business issues
Excellent analytic and troubleshooting skills
Strong written and oral communication skills
Bachelor’s degree in Computer Science or Computer Engineering
Ideal Qualifications:
Experience working in an AGILE environment
Experience developing commercial software products
Experience with AWS data warehouse infrastructure (redshift, EMR/spark)
GIT expertise
Master’s degree in Computer Science or Computer Engineering
Benefits:
Consistent with our belief that our employees are our most valuable resource, EAB offers a competitive and inclusive benefits package.
Medical, dental, and vision insurance; dependents and domestic partners eligible
401(k) retirement plan with company match
20+ days of PTO annually, in addition to paid firm holidays
Daytime leave policy for community service or fitness activities (up to 10 hours a month each)
Paid parental leave for birthing or non-birthing parents
Phase Back to Work program for employees returning from parental leave
Infertility treatment coverage and adoption or surrogacy assistance
Wellness programs including gym discounts and incentives to promote healthy living
Dynamic growth opportunities with merit-based promotion philosophy
Benefits kick in day one, see the full details here.
At EAB, we believe that to fulfill our mission to “make education smarter and our communities stronger” we need team members who bring a diversity of perspectives to the table and a workplace where each team member is valued, respected and heard.
To that end, EAB is an Equal Opportunity Employer, and we make employment decisions on the basis of qualifications, merit and business need. We don’t discriminate on the basis of race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. | 3.5 | EAB
3.5 | Washington, DC | Washington, DC | 1001 to 5000 employees | 2,007 | Company - Private | Research & Development | Business Services | Unknown / Non-Applicable | -1 | 0 | 0 | 45 | 86 | 65.5 | EAB
| DC | 1 | 13 | 0 | 0 | 1 | 1 | 1 |
Senior Data Scientist | $95K-$154K (Glassdoor est.) | Req Id: 2475
Job location: Charlotte, NC, US, 28277
Brighthouse Financial is on a mission to help people achieve financial security. As one of the largest providers of annuities and life insurance in the U.S., we specialize in products designed to help people protect what they've earned and ensure it lasts. We are built on a foundation of experience and knowledge, which allows us to keep our promises and provide the value they deserve.
At Brighthouse Financial, we're fostering a culture where diverse backgrounds and experiences are celebrated, and different ideas are heard and respected. We believe that by creating an inclusive workplace, we're better able to attract and retain our talent, provide valuable solutions that meet the needs of our advisors and their clients, and deliver on our mission of helping more people achieve financial security. We're se eking passionate, high-performing team member to join us. Sound like you? Read on.
How This Role Contributes to Brighthouse Financial:
Data Scientists in Brighthouse Financial's Data Science organization work closely with cross-functional teams in marketing, distribution, actuarial, product and other functions, leveraging Brighthouse Financial's rich datasets to develop and deliver propensity models and data-driven insights, and ultimately drive Brighthouse Financial's top line growth. A successful candidate will be passionate about finding insights in data and using quantitative analysis to answer complex questions, with a collaborative and resourceful style.
Key Responsibilities:
Conduct data analytics with the relevant programming / statistical package (such as R or Python) for large-scale problem solving
Work independently and possesses exceptional technical ability.
Understand complex business challenges, develop hypotheses, convert into the right analytical hypothesis, and communicate the results back to the partner teams with limited or no analytical background to drive the business strategy
Analyze internal / external, online / offline, and structured / unstructured data such as speech analytics, digital footprints, financial information, proprietary market research and secondary sources to identify insights
Create innovative solutions to business problems.
Partner with other operational areas to identify opportunities for new projects.
Build strong working relationships and improve workflow and organizational issues.
Build complex advanced-level machine learning and advanced analytics models.
Handle and resolve questions and issues referred by junior staff members.
May propose, evaluate and implement process improvements to increase efficiency and effectiveness.
Perform other duties as required or assigned.
Essential Business Experience and Technical Skills:
Doctoral degree in a technical field and two plus years of related work experience, or a Master's degree in a technical field and at least 3-4 years of related work experience, or a Bachelor's degree in a technical field and at least 6-8 years of related work experience.
Significant professional experience required applying quantitative analysis and modeling to solving real-world business problems including experience in model validation, testing and deployment
Demonstrated proficiency in Python/PySpark required
Demonstrated ability to perform high quality work independently
Excellent oral and written communication skills, including the ability to explain complicated quantitative concepts to non-technical stakeholders using effective story telling techniques and visualization
Ability to translate business requirements into detailed analysis plans.
Ability to prioritize requests to meet the most important and urgent business needs
Working knowledge of insurance industry is a plus
Prior exposure to financial services or insurance industry preferred
Travel:
Less than 5%
PI118871321 | 3.5 | Brighthouse Financial
3.5 | Charlotte, NC | Charlotte, NC | 1001 to 5000 employees | 2,017 | Company - Public | Insurance Carriers | Insurance | Unknown / Non-Applicable | -1 | 0 | 0 | 95 | 154 | 124.5 | Brighthouse Financial
| NC | 1 | 3 | 1 | 0 | 1 | 0 | 1 |
Staff BI and Data Engineer | $80K-$148K (Glassdoor est.) | Job Description: Staff BI and Data Engineer
Location: San Jose, CA (or) New York, NY
Department: Data Engineering
Hours/Shift: Full Time
Reports To: VP, Data Engineering
Job Description:
Affinity Solutions is looking for a hands-on and self-driven Staff BI and Data Engineer, preferably with experience in the bank card loyalty/fin-tech/advertising/marketing space, to enhance and automate its data and analytics infrastructure to support its growing customer base and expanding partner ecosystem. The position is based in San Jose, CA., and reports into the Data Engineering division. The demand for advanced analytical solutions continues to grow exponentially, and this is your opportunity to grow with us in a fast-paced, collaborative environment.
The ideal candidate is a passionate and highly skilled individual, who can utilize programming and analytics tools such as SQL, Python, and Tableau to query and process large data sets to produce high quality customer facing data deliverables and insights. If you have experience designing and building business intelligence/analytics applications, especially around credit/debit card transactions, unified consumer behavioral and profile data, and excited about leveraging your experience to catapult a venture-backed company into hyper-growth, this job is for you.
Responsibilities:
Develop high quality analytical data assets with an eye towards process efficiency and automation through scripting. Experience in building data marts is a plus.
Build automated QA process to validate the quality of the data and report on data quality
Communicate and present data to both internal and external customers by developing reports/dashboards/charts using BI tools such as Tableau
Work closely with a dynamic and growing team of account managers, data engineers and data scientists to perform quantitative analysis of customer data, including gathering data requirements and validate data, applying judgement and statistical analysis to assist with planning and decision making.
Other responsibilities include but not limited to - data validation, troubleshooting issues, and process documentation.
Qualifications:
Bachelor’s or Master’s degree in Computer Science or related field such as Mathematics and Statistics, preferably with focus on Data Analytics.
At least 3 years of hands-on experience in designing and building data pipelines, analytical data applications and BI Reporting.
Proficient in SQL and Tableau, familiar with at least one coding language in Python/Shell scripting.
Experience in using Cloud based managed services and Big Data Environments for data warehousing/analytics is a big plus – e.g. Amazon RedShift, Google BigQuery, Spark, MapR etc.,
Very strong written and verbal communication skills; Ability to tell a story with the data
Analytical thinker, with an ability to evaluate multiple products/technologies to address various aspects of a big data platform.
Experience working on UNIX / Linux development and production environments
Experience working in Agile software development environments
Strong organization skills with attention to detail is a must.
Ability to manage multiple conflicting priorities, take proactive ownership of problems and outcomes, think outside the box
Knowledge of Retail and Financial verticals is useful but not required. | 2.9 | Affinity Solutions
2.9 | San Jose, CA | New York, NY | 51 to 200 employees | 1,998 | Company - Private | Advertising & Marketing | Business Services | Unknown / Non-Applicable | Commerce Signals, Cardlytics, Yodlee | 0 | 0 | 80 | 148 | 114 | Affinity Solutions
| CA | 0 | 22 | 1 | 0 | 1 | 0 | 0 |
Marketing Data Analyst | $36K-$62K (Glassdoor est.) | For more than 80 years, Citadel has steadily grown and offered stability to our customers, community, and employees. Today, Citadel provides banking, investments, and insurance services to more than 200,000 customers. As we continue to expand, we remain committed to providing the very best value to our customers. At over $3 billion in assets, we are one of the Greater Philadelphia area’s largest locally owned financial institutions, proudly serving residents of Bucks, Chester, Delaware, Lancaster, Montgomery, and Philadelphia counties. In 2018, Citadel was ranked number one among all credit unions in Pennsylvania for providing value to our customers by Callahan& Associates, and was named one of the best performing credit unions in the nation by SNL Financial. To learn more, visitCitadelBanking.com.
We are building out Citadel's Data& Analytics capabilities and we are seeking three Marketing Data Analysts. These individuals will report to the Sr. Research& Data Analyst. The roles will be based in the Marketing department located at our corporate headquarters in Exton, PA.
The Marketing Analyst is responsible for identifying and analyzing data regarding our customers and prospective customers, making recommendations and providing insight to Citadel leadership in critical decision-making that drives Citadel Class Service and our business objectives including growth and sales. The Analyst will be responsible for designing and delivering the Use Cases to support the development of Citadel’s next generation Data& Analytics platform. Each Use Case is designed to support the business and deliver an improved customer and/or employee experience and will include the requirements, data definition, report and dashboard design, and end user rollout.
Duties and Responsibilities
Collaborate with Marketing, Sales, Product teams and other Citadel business leaders to determine and prioritize needs for customer data.
Develop Use Cases– partner with the business to capture and document Business Requirements, Business Definitions, Data Definitions, Visual Requirements, and Test Scripts.
Apply various analytic methods to discover and interpret information about customer and prospective customer behavior from multiple data sources, including Citadel’s website, social media, customer account data, data from external partners, and other sources
Integrate data across sources
Collaborate with IT to develop or adopt relational databases
Create actionable insights based on customer data, both proactively and in response to requests
Recommend target segments and campaigns/offers
Maintain necessary processes, controls and procedures to ensure data accuracy and business functionality and comply with privacy and security policies and regulations.
Lead and participate in cross-functional teams for corporate sales, marketing, customer service, and product development
Perform regular analysis and reports for distribution to senior management on customer/prospective customer data and trends.
Develop analytical reports to various departments requesting insight, supportive data or status reports to support corporate initiatives
Qualifications and Education Requirements
Required Work Experience -3+ years related data management and analysis experience, including experience in consumer behavior data mining and analysis
Preferred Work Experience -Retail banking or other financial services experience. Experience with marketing, sales, or customer service, including digital and traditional
Education - Bachelors degree required
Technical Knowledge Required -Proficiency in specialized database software.Writing SQL queries to solve business problems.Proficiency creating reports and dashboards in a modern data visualization tool (Tableau, PowerBI, Qlik).Proficiency in Microsoft Office suite.
PreferredTechnical Knowledge -CRM experience,Python or R, experience with database documentation (Data Dictionaries and Entity Relationship Diagrams) | 3.9 | Citadel Federal Credit Union
3.9 | Exton, PA | Exton, PA | 501 to 1000 employees | 1,937 | Nonprofit Organization | Banks & Credit Unions | Finance | Unknown / Non-Applicable | TruMark Financial, North Island Credit Union, CommunityAmerica Credit Union | 0 | 0 | 36 | 62 | 49 | Citadel Federal Credit Union
| PA | 1 | 83 | 1 | 0 | 0 | 0 | 0 |
Principal Scientist, Hematology | $54K-$115K (Glassdoor est.) | SUMMARY
The Principal Scientist will report to the Director of Scientific Affairs, and will be responsible for management and execution of analytical technical activities and ensure their quality for ACM Clinical Laboratory, Inc. Responsibilities will include development of comprehensive policies and procedures for test and analyzer evaluation, development, validation and implementation. This position will work closely with the Scientific Affairs, Proposals and Business Development to ensure ACM Global Laboratories can provide high quality clinical insights to our clients, impacting patients around the world.
STATUS: Full time
LOCATION: ACM Global Laboratories - Headquarters (160 Elmgrove Park, Rochester, NY)
DEPARTMENT: Clinical Trials
SCHEDULE: Days
ATTRIBUTES
PhD in related chemical, physical, or biological science field required.
2-5 years laboratory experience and prior management or supervisory experience required.
2-5 experience in Hematology required.
2 years of laboratory management experience required.
Certificate of Qualification in Hematology preferred.
Board Certification (ABB, ABCC, ABFT, ABHI, ABMGG, ABMLI, ABMM, NRCC) preferred.
RESPONSIBILITIES
Method & Test Development. Oversee the development, validation, and implementation of new tests and procedures to ensure the clinical laboratory meets the needs of all clients, especially non-FDA approved assays to support Clinical Trial clients. Ensure appropriate technical methods are utilized. Develop protocols and oversee laboratory instrument selection, evaluation, validation and implementation. Advise on selection of new instrumentation globally. Prepare scientific data, including sample stability, method information, reference ranges, etc. to support test menu development. Participate in Continuous Professional Development and any other activity needed to ensure continuing registration as a Clinical Scientist or Laboratory Director, and keep abreast of new developments in the Biomedical Sciences and Clinical specialty and advise on new initiatives as appropriate.
Quality. Provide scientific and technical support on interpretation of laboratory data as required. Establishing and signing off acceptance of reference ranges. Review and approve validation studies of each test for clinical use. In conjunction with the laboratory manager, periodically review laboratory and quality control/assessment data to ensure accurate and precise results are continually produced, and participate in the ACM Global inter-laboratory correlation and standardization process. Supervise the training of staff in new techniques as necessary. Work with the QA department in writing and reviewing Standard Operating Procedures and relevant documentation as necessary. Participation in all activities that seek to ensure compliance with GCP guidelines and CAP accreditation. Comply with policies for the safe, secure and confidential processing and storage of patient and other laboratory information.
Client Relations. Review client protocols and prepare proposals and quotations to assist the business development team. Advise as necessary. Liaise with Proposals and Business Development and the VP of clinical operations to advice on methodology, instrumentation and costs for new assays to be introduced into the laboratory to assist in the development of quotations. Provide test analytical information and participate in conference calls and meetings with clinical trials analysts, business development and ACM clients.
Rochester Regional Health is an Equal Opportunity / Affirmative Action Employer. Minority/Female/Disability/Veteran | 3.3 | Rochester Regional Health
3.3 | Rochester, NY | Rochester, NY | 10000+ employees | 2,014 | Hospital | Health Care Services & Hospitals | Health Care | $500 million to $1 billion (USD) | -1 | 0 | 0 | 54 | 115 | 84.5 | Rochester Regional Health
| NY | 1 | 6 | 0 | 0 | 0 | 0 | 0 |
Data Analyst | $50K-$92K (Glassdoor est.) | Data Analyst
Category
Finance and Accounting
Job Location
Alexandria, VA
Tracking Code
FPI 3179-585
Position Type
Full-Time/Regular
CALIBRE is currently seeking an individual to provide data analysis support for a Department of Defense (DoD) client in Alexandria, VA. The position is available for immediate hire.
Responsibilities:
Support all analytical and statistical reporting requirements for program activities.
Integrate data from multiple data sets, analyze and interpret data sets and make findings relevant and actionable for the client.
Provide timely, accurate and reliable management reporting and analysis of data.
Work with the client to identify and prioritize data and statistical requirements, including specific data elements to be collected.
Identify, analyze, interpret, and model trends or patterns in data
Ensure the accuracy and completeness of data.
Assist in the development and implementation of data collection systems/tools, data analytics, and other strategies that optimize statistical efficiency and quality (including identifying process improvements to better satisfy business needs)
Deliver quality, easily understood products on a timely basis
Obtain, manipulate, clean, and normalize data obtained from various sources.
Propose and define pertinent measures and metrics.
Develop, analyze and produce standardized statistical reports and ad hoc reports
Generate graphical management reports and support management dashboards.
Required Skills
Possess an active SECRET clearance.
US Citizen.
Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Business, or other relevant discipline; or equivalent work experience.
Strong verbal and written communication skills.
Critical thinking abilities, willingness to learn, and eagerness to do research.
Minimum 5 years’ professional experience. Specialized experience may substitute for years of experience.
Additional Requirements:
Ability to perform statistical analyses, e.g., calculating mean, standard deviation, correlation, regression analysis.
Proficiency with Microsoft Office products, particularly Excel and Access.
Required Experience
Desired Experience:
Experience with data analytic tools such as Tableau, Qlik, or PowerBI.
Ability to develop basic SQL queries
#LI-TO1
CALIBRE and it's subsidiaries are an Equal Opportunity Employer and supports transitioning service members, veterans and individuals with disabilities. We offer a competitive salary and full benefits package. To be considered, please apply via our website at www.calibresys.com. Come join our dynamic team. #CALIBRECareers #SPEARCareers | 3.7 | CALIBRE Systems
3.7 | Alexandria, VA | Alexandria, VA | 501 to 1000 employees | 1,989 | Company - Private | IT Services | Information Technology | $100 to $500 million (USD) | CSC, Booz Allen Hamilton, ManTech | 0 | 0 | 50 | 92 | 71 | CALIBRE Systems
| VA | 1 | 31 | 0 | 0 | 0 | 0 | 1 |
Director - Data, Privacy and AI Governance | $67K-$135K (Glassdoor est.) | What great looks like in this role
Data, analytics, and artificial intelligence models are at the core of MassMutuals digital transformation. The enterprise Data, Privacy and AI governance program is responsible for implementing a principles-driven, enterprise program that holistically addresses governance at scale and enables the delivery of superior customer value, experiences, trust and loyalty.
As a member of the new Data, Privacy and AI governance team you will work with data scientists and other leaders across the organization on principles, policies, and controls that inventory, measure, assess, and organize the firms data assets and algorithmic models. You will focus on driving change by democratizing data, analytics and AI/ML across the enterprise consistent with our corporate values, customer expectations, and regulations. Our tactics include an initiative to develop a proprietary, self-service platform for unified expression of these governance policies, streaming governance evidence, and a single-pane-of-glass to observe adherence. On our flat, agile team your focus may shift between data governance, privacy governance, and AI governance outcomes over time.
Objectives of the role
Partner with data scientists and business leaders and lead the execution of governance engagements from start to finish. This includes the engagement planning, directing, and completing data and model inventories, compliance and privacy assessments, adoption of our principles-driven, adaptive policy framework, and overall data, privacy and AI/ML governance program objectives.
Contribute to the development of our principles-driven, adaptive policy framework to inventory, assess, organize, measure, and track MassMutuals data and AI/ML assets across the enterprise.
Ensure successful adoption and continuous improvement of the framework to drive effective governance at scale across our data, analytics, privacy and AI/ML capabilities.
Stay up-to-date on emerging trends in consumer expectations, our competitive landscape, and the regulatory environment.
Daily and Monthly Responsibilities
Collaborate and partner with leaders across our data science team, business channels, law, compliance, enterprise risk, and information security for policy making and best practices.
Develop and implement data and AI/ML principles, standards and standards of use.
Establish and track quantitative measures of policy compliance including veracity, lineage, ethics, security, fairness, accountability, transparency, and auditability.
Establish and continuously improve processes that collect governance evidence and compute these measures.
Partner with Enterprise Architecture and Data Management counterparts to drive a cohesive, consistent stakeholder experience and permissible use of data and AI/ML assets based.
Support strategic planning for data, privacy and AI/ML governance and overall data strategy through roadmap development and objective planning
Basic Qualifications
Bachelors degree in Science, Technology, Engineering or Mathematics (STEM).
Experience executing enterprise governance programs in highly regulated industries.
Experience conducting privacy or security risk assessments, DSARs, or internal audits.
Experience creating KPIs and using them to manage execution and inform strategy.
Exceptional communication skills, both written and verbal.
Influencing abilities across all levels of the organization.
Experience working with global privacy and data protection regulations such as the GDPR, CCPA, HIPAA, GLBA and other relevant privacy regulations.
Knowledge of metrics associated with characterizing performance, bias, variance, and error in algorithms and predictive models.
Experience establishing and executing complex, strategic, cross-functional enterprise programs.
Authorized to work in the USA without sponsorship.
Preferred Qualifications
Advanced degree preferred (M.S., M.B.A., J.D.).
Knowledge of public policy making
Experience with technology product management
Knowledge of methods for designing, developing, testing, peer-reviewing, and deploying machine learning and artificial intelligence solutions.
Expertise with the following are considered a strong plus: software development/DevOps, agile methodologies, financial/insurance industry structure and practices, and financial industry regulations.
Work in Boston Office.
Some travel to Springfield, Amherst and New York. | 3.6 | MassMutual
3.6 | Boston, MA | Springfield, MA | 5001 to 10000 employees | 1,851 | Company - Private | Insurance Carriers | Insurance | $10+ billion (USD) | -1 | 0 | 0 | 67 | 135 | 101 | MassMutual
| MA | 0 | 169 | 0 | 0 | 0 | 0 | 0 |
Data Scientist | $82K-$132K (Glassdoor est.) | Overview
Are you passionate about changing the world through machine learning and location intelligence? If yes, then it’s the right time to join our team because we are about to do so!
With the IoT revolution (30 billion sensors by 2020), the consumerization of mapping, and location data growing exponentially day after day, location is becoming extremely important to more and more people. We want to enable organizations and businesses to go beyond basic visualization and analytics of such massive data, to the realm of being two or three steps ahead of the game by extracting advanced levels of intelligence from it, predicting important events, and automating significant proportions of their work through AI and machine learning.
We are looking for an entrepreneurial, collaborative person with strong hands-on experience and solid track record with statistical analysis, machine learning, predictive analytics, software engineering, and passion for location to help us on our mission to build world class predictive location analytics solutions for our customers in 160+ countries.
Responsibilities:
Build high-quality prediction systems that solve our customers' business problems by applying data mining and machine learning techniques; doing statistical analysis; and exploring, interpreting, and analyzing datasets for patterns of interest
Work closely with different teams on understanding our customers’ needs to craft and pitch machine learning use cases to them
Model business problems to machine learning ones, mapping business data to dependent and independent features, doing proper feature engineering, iterating with different predictive models, conducting hyper parameter optimization to yield highest prediction accuracy, and deploying the model to production
Help build the data science and machine learning capability inside Esri: develop best practices and patterns for geospatial machine learning, develop reusable technical components for demos and POCs, and identify and help establish needed technology stack and infrastructure
Keep up to date with latest technology trends in machine and deep learning and quickly learn about new frameworks/techniques to be used in projects delivery
Requirements
2+ years of practical machine learning experience, some of which is within established technical organizations
Self-learner with strong communication skills (writing markdown README files, blogs, or how-to instructions)
Experience with applied statistics skills such as distributions, statistical testing, and regression
Software engineering, continuous integration and lifecycle management
Writing in Python, Java, Scala and extensive use of unit tests, Git, and Docker
Ability to perform data extraction, transformation, loading from multiple data sources and sinks
Experience in data visualization such as in Tableau or Jupyter Notebooks
Model building and hyper parameter tuning
Experience with deploying software on AWS, Azure, or other cloud service
Experience in machine learning with deep learning and other supervised, unsupervised, and reinforcement learning methods
Have a fundamental understanding of ML algorithms such as back propagation, ReLU, Bayes, Random Forests, etc.
Experience dealing with massive data sets using big data tools
Experience with time series analysis
Bachelor's in mathematics, statistics, computer science, or related field, depending on position level (master's or PhD preferred)
Recommended Qualifications:
Experience with spatial and GIS concepts
Experience with CUDA/GPU programming
Familiarity with one or more of the following: Hadoop HDFS, Spark, Accumulo, Presto, MongoDB, Elastic Search, Cassandra, HBase, R, Mahout, Pig, and Hive, DC/OS, Kubernetes
#LI-MS1
The Company
Our passion for improving quality of life through geography is at the heart of everything we do. Esri’s geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.
Carefully managed growth and zero debt give Esri stability that is uncommon in today's volatile business world. Privately held, we offer exceptional benefits, competitive salaries, 401(k) and profit-sharing programs, opportunities for personal and professional growth, and much more.
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
If you need a reasonable accommodation for any part of the employment process, please email humanresources@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. | 3.5 | Esri
3.5 | Redlands, CA | Redlands, CA | 1001 to 5000 employees | 1,969 | Company - Private | Computer Hardware & Software | Information Technology | $1 to $2 billion (USD) | Pitney Bowes | 0 | 0 | 82 | 132 | 107 | Esri
| CA | 1 | 51 | 1 | 0 | 1 | 1 | 0 |
Data Scientist | $85K-$140K (Glassdoor est.) | New England Biolabs is seeking a Data Scientist to build, improve and utilize the varied and complex data sources we use to make excellent biological products.
NEB provides a world-class working environment including high quality computational infrastructure, skilled colleagues, and opportunities to exchange knowledge with internal and external scientists.
Primary Responsibilities:
Construct, extend, and maintain scientific software tools used at NEB to study enzymes and their activities. Collaborate with members of the Research, Product Development, Production, and Quality Control groups to identify patterns and trends in quantitative scientific data.
Required Qualifications and Experience:
Degree in a computational field and meaningful experience working with varied and complex datasets.
Software development skills (Ruby, Python, R, or others).
Appreciation for simple, high-quality, maintainable software.
Enthusiasm for data modeling, storage and visualization.
Demonstrated oral and written communication skills.
Strong work ethic, emphasizing both efficiency and quality of work.
Accessible evidence of software development history (e.g., GitHub).
Passion for learning.
Interest in applications of biologically derived tools to address important challenges.
Preferred Qualifications and Experience:
Expertise with high volume analysis of data from many sources.
Experience with virtualization technologies (kubernetes, cvmfs, lxc).
Experience with infrastructure automation tools (Ansible, Chef, Salt, etc.)
Modern web development skills (HTML5, Rails, Vue.js, etc.).
Cluster computing and scientific workflow frameworks (Galaxy, Nextflow, snakemake, CWL, etc.).
New England Biolabs, Inc. is an Equal Opportunity/Affirmative Action Employer of Minorities, Females, Disabled and Protected Veterans and a participating employer in the Employment Verification (E-Verify) program. More in-depth details of EEO are available here.
If you need an accommodation for any part of the employment process because of a medical condition or disability, please send an email to hr@neb.com or call 978-927-5054 to let us know the nature of your request. | 4.7 | New England Biolabs
4.7 | Ipswich, MA | Ipswich, MA | 201 to 500 employees | 1,974 | Company - Private | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | Unknown / Non-Applicable | Thermo Fisher Scientific, Enzymatics, Illumina | 0 | 0 | 85 | 140 | 112.5 | New England Biolabs
| MA | 1 | 46 | 1 | 0 | 0 | 0 | 1 |
Staff Machine Learning Engineer | $138K-$224K (Glassdoor est.) | Join the Mobile Future with Tapjoy
Data Science is pretty much our business - we drive conversions. Given our massive scale, relatively modest improvements can have an outsized impact.
If you're looking to be a point of influence on a celebrated team (*not* just another in a giant machine), a thought leader & mentor, and implement cutting edge machine learning tools -- this gig is for you.
Responsibilities
Experiment and improve machine learning models for the recommendation/ad optimization system.
Inform bidding strategy and data engineering architecture.
Understand various ad-optimization algorithms (CTR prediction, eCPM optimization, user targeting and segmentation, RTB optimization, Exploration/Exploitation Algos)
Competencies
Solid coding skills in SQL and in a scripting language like Python. Packages: scikit-learn & TensorFlow. Scaling GPU clusters to train deep neural networks.
Experimental Design.
Deep expertise in recommendation systems, classification models, class imbalance, model calibration.
Experience with BigQuery or PySpark or another modern method to access data
Skills > credentials.
Bonus:
Domain and/or marketplace knowledge
Tapjoy is an equal opportunity employer. We believe that diversity and inclusion lead to stronger, more innovative teams and better business results; we want to draw from the broadest talent pool possible and encourage qualified applicants. Tapjoy does not discriminate on the basis of sex, race, ethnicity, color, age, sexual orientation, gender (including identity and expression), disability (mental or physical), religion, national origin, citizenship, marital status, military or veteran status, or any other protected classification protected by applicable law; we will provide reasonable accommodations for qualified individuals with disabilities, and pursuant to applicable fair chance ordinances, we will consider for employment qualified applicants with arrest and conviction records.
For more information, please visit www.tapjoy.com.
]]> | 3.9 | Tapjoy
3.9 | San Francisco, CA | San Francisco, CA | 201 to 500 employees | 2,007 | Company - Private | Internet | Information Technology | $10 to $25 million (USD) | FLURRY, Chartboost | 0 | 0 | 138 | 224 | 181 | Tapjoy
| CA | 1 | 13 | 1 | 0 | 1 | 0 | 0 |
Information Security Data Analyst | $42K-$80K (Glassdoor est.) | Company Overview
At Motorola Solutions, we create technologies our customers refer to as their lifeline. Our technology platforms in communications, software, video and services help our customers work safely and more efficiently. Whether it’s helping firefighters see through smoke, enabling police officers to see around street corners, or reliably keeping the lights on in homes and businesses around the world, our work supports those who put their lives on the line to keep us safe. Bring your passion, potential and talents to Motorola Solutions, and help us usher in a new era in public safety and security.
Department Overview
Our IT organization isn’t just here to support our business. We’re here to reinvent it – by changing the way our customers, partners and employees interact with our company. To do that, we’re looking for people who bring great ideas and who make our partners’ ideas better. Intellectually curious advisors (not order takers) who focus on outcomes to creatively solve business problems. People who not only embrace change, but who accelerate it.
Job Description
MSI has a global and dynamic environment; threats to its information systems can come from many sources, both external and internal to the organization. We are looking for a Data Analyst to help drive various security initiatives. In this role, one will have the ability to make an impact and create positive change through the use of cutting edge technology to mine and analyze data to identify and remediate cyber threats. Ultimately, the Data Analyst will contribute to a world class program to help keep MSI’s data secure so MSI can facilitate critical communications and help customers around the world be their best in the moments that matter.
MSI values collaboration, transparency, diversity, and continual innovation. Professional development is encouraged and supported. Our team is made up of individuals who want to grow, try new ideas, and most of all, stop adversaries from harming our organization.
Skills and attributes for success:
Individual contributor with 2-5 years of experience in cyber security, big data, and/or machine learning (time can overlap)
Practical experience in analytics, machine learning, or big data and have a suitable mathematics/statistical background
Strong written and verbal communications, attention to detail, interpersonal and networking skills
Highly creative, motivated self-starter who can provide leadership in big data analytics.
Strong sense of ownership and driven to manage tasks to completion.
Roles and responsibilities:
Lead Information Security’s data analysis program incorporating elements such as data hygiene, machine learning, and threat hunting to identify and remediate threats and address strategic initiatives.
Perform analysis on data related to patterns of malicious activity.
Provide insights and recommendations pulled from analysis to leadership and team members.
Work with the Security Engineers on any necessary data modeling to facilitate investigation.
Work closely with the Threat Response, Insider Threat, Vulnerability Management, and Threat Intelligence teams to implement custom detection of new and emerging threats.
Conduct big data analytics and analyze data sets for anomalies and trends.
Build dashboards highlighting the key trends of the data.
Develop advanced scripts for the manipulation of multiple data repositories’ to support analysts’ requirements.
Collect cyber-related data and perform analytics to identify meaningful and actionable information.
Ability to analyze, retain and improve machine learning models.
Desired Skills/Qualifications
Familiarity with malware, host forensics, or network traffic analysis.
Experience with machine learning, artificial intelligence and natural language processing techniques
Ability to analyze, retain and improve machine learning models.
Ability to create UBA/UEBA models to identify insider risk.
Direct experience in Information Security
Knowledge of threat vectors and attack methodologies focusing on both internal and external actors
Ability to create threat models to identify new areas for analysis
Experience with SIEM usage
Database knowledge (SQL and/or document databases)
Proficiency in statistics such as distributions, predictive modeling, data validation, statistical testing, regression.
Graduate Degree in Computer Science or Engineering, with a strong quantitative background.
Experience with data science automation, data mining, informatics programming, computational algorithms, information retrieval (i.e., organizing and structuring data), statistical analysis, software engineering, and/or systems design and analysis.
Experience with scalable distributed data processing, management, and visualization tools (e.g. Hadoop, Apache Spark).
Expert knowledge of Python.
Basic Requirements
Must be a U.S. citizen
Bachelor's Degree or Master's Degree in Computer Science, Engineering, or related field
2+ years of professional experience with data science automation, data mining, informatics programming, computational algorithms, information retrieval (i.e., organizing and structuring data), statistical analysis, software engineering, and/or systems design and analysis
Travel Requirements
Under 10%
Relocation Provided
None
Position Type
Experienced
Referral Payment Plan
Yes
EEO Statement
Motorola Solutions is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran's status, or, any other protected characteristic.
If you are a current Motorola Solutions employee, please click this link to apply through your Workday account. | 3.7 | Motorola Solutions
3.7 | Chicago, IL | Chicago, IL | 10000+ employees | 1,928 | Company - Public | Computer Hardware & Software | Information Technology | $5 to $10 billion (USD) | Cisco Systems, Huawei Technologies, IBM | 0 | 0 | 42 | 80 | 61 | Motorola Solutions
| IL | 1 | 92 | 1 | 0 | 1 | 0 | 0 |
Lead Data Engineer | $190K-$220K(Employer est.) | Credit Sesame is bringing cash and credit together in a new, seamless way that helps consumers establish a direct path to financial wellness. Empowering members to own their credit is our number one mission. Since 2009, we’ve been helping millions of members improve their credit scores, lower the cost of their credit, and save money. When you join Credit Sesame, you become part of a team devoted to helping people take charge of their credit so they can live better lives.
We are looking for a Data Engineer Lead to manage the pipelines that move our data from multiple source systems to the Data Warehouse (AWS Redshift). You will manage the productionizing of Machine Learning models for both batch mode and also hosts Model-as-a-Service as RESTful services. You will also integrate with marketing partners, business collaborators and manage the data ingestion for revenue information coming from partners. Are you looking to manage infrastructure that powers our platform for millions of users? If so, we'd like to talk with you!
You'll...
be the point person and data expert on one or more domains of the platform;
write ETLs to add new integrations and new data to the warehouse;
support existing pipelines and important application events within infrastructure stack;
support architectural efforts including choice of ETL platforms and reviewing Database performance;
manage and build monitoring of technology platform components and measure metric deviations & build a culture of observability within the team;
oversee the release, support production deployment, and build and scale API stack to serve ML model results;
work with peers in Data Governance and Analytics to solicit input and feedback to improve the data and process;
build strong partnership with Data Science to understand tools and infrastructure that can be built for model pipelines;
manage predictive model data in the warehouse including tools and infrastructure.
You're a great fit for our team because...
you're familiar in one of these languages with Object Oriented Programming including Java, Python, Groovy;
you're able to write complex SQL queries and able to optimize queries;
you have experience with a Massively Parallel Processing DB like Redshift;
you're comfortable with Big Data processing frameworks like Apache Spark;
you have a Bachelor's degree or equivalent;
you have mentored team members.
You’ll love it here because...
you‘ll have huge potential to grow with a company that’s a category leader;
you’ll have equity in a pre-IPO company backed by top VCs;
we offer comprehensive medical, dental, and vision insurance with many plan options;
we have lunch catered daily;
you can stay on top of your fitness goals with our on-site fitness centers;
we offer monthly fitness, phone and internet reimbursement;
you can fuel up at our stocked kitchens with endless snacks and drinks;
we prize EQ and empathy, and have a culture that emphasizes total wellness, including work-life harmony (read more about Credit Sesame’s Key Values here: https://www.keyvalues.com/credit-sesame).
Office Location
Our Mountain View office is located within walking distance of the Caltrain station and in the heart of downtown Mountain View with great cafes, restaurants, and shops.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.
Office Location
Our Mountain View office is located within walking distance of the Caltrain station and in the heart of downtown Mountain View with great cafes, restaurants, and shops.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. | 4.1 | Credit Sesame
4.1 | Mountain View, CA | Mountain View, CA | 51 to 200 employees | 2,010 | Company - Private | Internet | Information Technology | $50 to $100 million (USD) | Credit Karma, LendUp, SoFi | 0 | 0 | 190 | 220 | 205 | Credit Sesame
| CA | 1 | 10 | 1 | 0 | 1 | 1 | 0 |
Scientist Manufacturing - Kentucky BioProcessing | $68K-$139K (Glassdoor est.) | British American Tobacco
Reynolds American Incorporated is positively transforming the tobacco industry. We’re a family of companies that strives for success in everything we do. The future inspires us because our people are igniting the breakthroughs that are redefining the ways adult tobacco consumers enjoy tobacco in the 21st century.
When other companies talk about growth, they only talk about size. At Reynolds American, we focus on the growth of our people. We take pride in each other’s growth and well-being throughout our careers. We invest in your career and total well-being because we know our companies succeed when our people thrive.
ABOUT OUR ORGANIZATION:
Reynolds American Inc. is an indirect, wholly owned subsidiary of British American Tobacco p.l.c., and the U.S. parent company of R. J. Reynolds Tobacco Company; Santa Fe Natural Tobacco Company, Inc.; American Snuff Company, LLC; Niconovum USA, Inc.; Niconovum AB; R. J. Reynolds Vapor Company; Lorillard Licensing Company, LLC; and Reynolds Brands, Inc.. This position is with Kentucky BioProcessing (2400).
Here, you’ll have the opportunity to work on iconic brands and revolutionary products by collaborating with visionary, principled and passionate people every day.
Job Summary:
This scientist in this position aids in the design and conducts projects to support KBP strategic initiatives. Collaborates within sub-function as well as with external areas on project assignments, establishing relationships and building technical knowledge. This position seeks opportunities to broaden knowledge base and add value to project workstreams. Scientist utilizes creativity and technical knowledge to promote development and implementation of improved and/or new innovative product platforms. (S)He will conduct all activities in accordance with applicable regulations and procedures. (S)He will conduct all activities in accordance with phase appropriate quality systems though following BPRs, SOPs and operations procedures.
Principal Duties and Responsibilities:
Support the identification, development and implementation of new technologies, processes, and associated science.
Aids in extraction and purification of molecules from plants
Applies and interprets principles, theories, and concepts in a scientific specialty.
Understands KBP strategies and ensures alignment of work streams.
Supports the design of and execution of projects and collaborates on project activities with cross functional areas; prepares and presents data/reports to management on these projects or other subjects within expertise.
Education:
4-year undergraduate degree or demonstrated relevant progressive experience
Preferred Skills:
Bachelor’s degree in organic chemistry or chemical engineering
Experience in separation techniques such as chromatography, distillation, filtration, centrifugation
Previous experience working in purification of molecules from plant-based systems
Biopharmaceutical Research and Development
Compensation/Targeted Bonus
Competitive Annual Salary
Targeted Annual Bonus
Relocation assistance available for those who qualify.
Benefit Summary
Our company offers very competitive benefit plans, including:
401(k) plan that offers opportunity to save on pre- and post-tax basis up to 50 percent of eligible compensation. Company matches 100 percent of employee pre-tax/Roth (401k) contributions up to six percent
Comprehensive health- and welfare-benefits package
Eleven paid company holidays annually, plus a generous paid vacation plan based on length of service
Company-paid sick and personal days, funeral leave and jury duty leave
Confidential personal financial counseling service
On-site health clinics and fitness centers
A matching grants program that enables employees to direct and double their donations to qualifying charitable organizations of their choice
Health-care advocacy service
Volunteer service opportunities
Federal credit union membership through Allegacy Federal Credit Union
Extensive training opportunities
Reynolds American Inc. and its affiliated companies is an Equal Opportunity / Affirmative Action Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
Our organization offers a level of challenge, responsibility and creativity for motivated employees that stands apart from the crowd.
We are also committed to employing a diverse workforce and valuing different perspectives, experiences and talents to maximize the company's potential for successfully achieving its business objectives.
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Only applicants requiring reasonable accommodation for any part of the application and hiring process should contact us directly via email at TalentAcquisition@RJRT.com.
California Privacy Notice
Nearest Major Market: Owensboro
Job Segment:
Industrial, Chemistry, Scientific, Engineer, Manufacturing, Science, Engineering | 3.1 | Reynolds American
3.1 | Owensboro, KY | Winston-Salem, NC | 5001 to 10000 employees | 1,875 | Company - Private | Consumer Products Manufacturing | Manufacturing | $10+ billion (USD) | -1 | 0 | 0 | 68 | 139 | 103.5 | Reynolds American
| KY | 0 | 145 | 0 | 0 | 0 | 0 | 0 |
Data Analytics Project Manager | $34K-$92K (Glassdoor est.) | Who We Are At MassMutual, we help millions of people find financial freedom, offer financial protection, and plan for the future. Were passionate about helping millions of people find financial freedom and this passion has driven our approach to developing meaningful experiences for our customers. We do this by building trust with our customers by being knowledgeable problem solvers and prioritize their needs above all else. We Live Mutual. MassMutual was named a Top Place to Work in 2019 according to The Boston Globe and No. 84 on the Fortune 500 list of largest companies.
Meet the Team Data Analytics is an exciting time at MassMutual! MassMutual is going through a Digital Transformation, continuing to be a leading customer-centric company. The Data Analytics team, part of MassMutuals new Enterprise Technology Experience organization, is comprised of highly skilled, collaborative problem solvers who are motivated to create innovative data analytic solutions that exceed the changing needs of our customers and move MassMutual and the industry forward. The team culture is collaborative, cross-functional, and uses old and new technologies combined with the work/life balance.
Current Initiatives:
Enterprise-wide transition to a unified and governed strategic BI Platform
Expansion of Digital Operations footprint, and growing need for access to actionable data insights
Revitalization of analytics and reporting applications to support changing industry needs and expectations
The Opportunity
Are you highly analytical and like to solve complex problems? Would you describe yourself as a strong collaborative leader? Would you want to be part of a team that encourages your growth, supports your ambitions, and makes it a priority for you to reach your goals? If yes ... keep reading, this opportunity is for you!
Job Description
MassMutual Data Analytics is seeking a versatile, highly motivated Project Manager / Scrum Master to join our team. The Project Manager / Scrum Master is the foundational component of the enterprise scrum team offering support to the MassMutual Enterprise. The ideal candidate is team-oriented, possesses excellent communication skills and is skilled in and champions Agile concepts and practices. Managing all facets of agile project delivery including but not limited to, stakeholder relationships, work prioritization, sprint planning, scrum execution, team organization, project risk assessment, implementation and reporting.
Objectives and Responsibilities
Lead broad scope projects with medium to long-term focus
Engage with all levels across the enterprise managing relationships and expectations
Accountable for managing and driving program/ project execution on time and on budget
Identify, understand, and work to mitigate issues and risks proactively with the project team, business partners, and leadership
Work with technical leads and product managers to plan, develop technical scopes of work, and manage the execution of projects/product changes in response to requirements from stakeholders
Lead project teams during all phases of the development life cycle including requirements gathering and analysis, design, build, pilot, implementation and continuous service
Facilitate client and project team interactions including: scrums, sprint planning, sprint retrospectives, sprint reviews, incident management and release management
Be self-supportive in collaborating with peers to effectively deliver a robust solution for the business
Drive process within a matrix management setting
Serve as a conduit of knowledge between functional and technical teams
Manage budget, timeline, and scope throughout the course of all assigned projects
Elicit, translate and simplify requirements
Document and organize acceptance criteria for user stories
Work with product managers to define improvements to business processes, assist decision-makers in gathering information to make decisions, and help quality assurance test solutions
Develop plans for continuous service to support implementation of products
Act as a champion for data analytic capabilities by communicating their benefits and how they can be implemented
Motivate teams to work together, communicate, and deliver
Navigate ambiguity to deliver results
Qualifications
10 years managing and driving the execution of complex projects
Certified PM (PMP) and/or Agile Scrum Master
Expert with project management tools and techniques, such as JIRA, Confluence, Scrum and Kanban
Excellent interpersonal communication, conflict management, coordination, and planning skills with cross-functional teams
Skilled in applying judgment to balance process compliance with achievement of business objectives
Experience in/working in partnership with a technical roles, such as an engineer, developer, data scientist, etc. a plus
Project leadership experience focused on engaging others in the delivery and execution of technical solutions and service deliverables
Ability to assess a project's scope and the team's ability to execute
Outcome oriented with the ability to drill down from the big picture to process details
Ability to communicate objectives, plans, status, and results clearly
Strong leadership skills and influencer
Ability to collaborate across diverse teams and organizations
Strong organizational skills and detail oriented
Solid grasp of software technologies and stacks
Authorized to work in the United States without requiring sponsorship now or in the future
Preferred Qualifications
Masters Degree, preferably in Business/Finance or an analytical field such as Economics, Mathematics, Engineering, Computer Science | 3.6 | MassMutual
3.6 | Springfield, MA | Springfield, MA | 5001 to 10000 employees | 1,851 | Company - Private | Insurance Carriers | Insurance | $10+ billion (USD) | -1 | 0 | 0 | 34 | 92 | 63 | MassMutual
| MA | 1 | 169 | 0 | 0 | 0 | 0 | 1 |
Consultant - Analytics Consulting | $54K-$71K (Glassdoor est.) | Q4 - AINA - Sr RPA Developer (5A) - AA - Hub
03/27/2020
Job Description
Infosys is seeking a Sr RPA Developer with Automation Anywhere or Blue Prism experience to work from our new Hartford, CT Innovations Hub. The candidate will help manage RPA and Cognitive Automation Projects. They will participate in requirements gathering sessions, and will work with team members to identify requirements such as AS IS Process and automation opportunities. The candidate will apply knowledge of technologies, applications, methodologies, processes and tools to manage end to end automation projects.
Required Sr RPA Developer Qualifications:
This position is for Hartford, CT. This position may require extensive travel to project locations.
Bachelor’s Degree or foreign equivalent, will consider work experience in lieu of a degree
5+ years of Information Technology experience with at least 3 years of automation project management experience
3+ years of experience with Cognitive and Robotic Process Automation (RPA) technologies
Strong experience of Solution Definition and Client Management
Knowledge and experience with full SDLC lifecycle
Experience with Scrum / Agile development methodologies
U.S. Citizenship or Permanent Residency required, we are not able to sponsor at this time
Preferred Sr RPA Developer Qualifications:
3+ years of experience in managing complex Cognitive and Robotic Process Automation with strong experience with RPA development
Experience and certification with UiPath is preferred
Hands on experience in Java or .Net development
Solid understanding of business process and document AS IS Process
Able to identify automation opportunity from AS IS Process
Define, develop and deploy automation solution for automation opportunities
Experience with test-driven development and automated testing frameworks
Capable of delivering on multiple competing priorities
Excellent verbal and written communication skills, able to resolve business issues
Experience and desire to work in a Global delivery environment
The job entails an extensive amount of travel. The job also entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face.
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in 46 countries to navigate their digital transformation
With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
To learn more about Infosys and see our ideas in action please visit us at www.Infosys.com
EOE/Minority/Female/Veteran/Disabled/Sexual Orientation/Gender Identity/National Origin
Auto req ID
53433BR
State / Region / Province
Connecticut, Richardson, TX and various and unanticipated locations throughout the U.S.
Country
USA
Interest Group
Infosys Limited
Role
Consultant - Analytics Consulting
Company
ITL USA
Work Location
Hartford, CT
External Job Title
Sr RPA Developer | 3 | Infosys
3.0 | Hartford, CT | Bengaluru, India | 10000+ employees | 1,981 | Company - Public | IT Services | Information Technology | $10+ billion (USD) | Tata Consultancy Services, Accenture, Cognizant Technology Solutions | 0 | 0 | 54 | 71 | 62.5 | Infosys
| CT | 0 | 39 | 0 | 0 | 0 | 0 | 1 |
Data Engineer | $65K-$124K (Glassdoor est.) | Title: Data Engineer
Location: Orange County, CA
Alignment Healthcare is a data and technology driven healthcare company focused partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors.
We are experiencing rapid growth (backed by top private equity firms), our Data Services and BI team is looking for the best and brightest leaders. Data drives the way we make decisions. We love our customers and understanding them better makes it possible to provide the best clinical outcome and care experience.
This position will play a key role in building and operating a cloud-based data platform and its pipelines using big data technologies.
As a Data Engineer, you will develop a new data engineering platform that leverage a new cloud architecture, and will extend or migrate our existing data pipelines to this architecture as needed. You will also be assisting with integrating the SQL data warehouse platform as our primary processing platform to create the curated enterprise data model for the company to leverage. You will be part of a team building the next generation data platform and to drive the adoption of new technologies and new practices in existing implementations. You will be responsible for designing and implementing the complex ETL pipelines in cloud data platform and other solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making.
● Interfacing with business customers, gathering requirements and developing new datasets in data platform
● Building and migrating the complex ETL pipelines from on premise system to cloud and Hadoop/Spark to make the system grow elastically
● Identifying the data quality issues to address them immediately to provide great user experience
● Extracting and combining data from various heterogeneous data sources
● Designing, implementing and supporting a platform that can provide ad-hoc access to large datasets
● Modelling data and metadata to support machine learning and AI
Basic Qualifications:
● Bachelors or Masters in Computer Science, Engineering, Mathematics, Statistics, or related field
● 3+ years relevant experience in cloud based data engineering.
● Demonstrated ability in data modeling, ETL development, and data warehousing.
● Data Warehousing Experience with SQL Server, Oracle, Redshift, Teradata, etc.
● Experience with Big Data Technologies (NoSQL databases, Hadoop, Hive, Hbase, Pig, Spark, Elasticsearch etc.)
● Experience in using Python, Java and/or other data engineering languages
● Knowledge and experience of SQL Sever and SSIS.
● Excellent communication, analytical and collaborative problem-solving skills
Preferred Qualifications:
● Healthcare domain and data experience
● Healthcare EDI experience is a plus
● Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets.
● Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
● Experience building data products incrementally and integrating and managing datasets from multiple sources
● Experience leading large-scale data warehousing and analytics projects, including using Azure or AWS technologies – SQL Server, Redshift, S3, EC2, Data-pipeline, Data Lake, Data Factory and other big data technologies
● Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space
● Linux/UNIX including to process large data sets.
● Experience with Azure, AWS or GCP is a plus
● Microsoft Azure Certification is a plus
● Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic startup environment
· Problem solving skills and Ability to meet deadlines are a must
· Microsoft Azure Certification is a plus
Essential Physical Functions:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform
the essential functions.
· While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms.
· The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus.
Alignment Healthcare, LLC is proud to practice Equal Employment Opportunity and Affirmative Action. We are looking for diversity in qualified candidates for employment: Minority/Female/Disable/Protected Veteran.
If you require any reasonable accommodation under the Americans with Disabilities Act (ADA) in completing the online application, interviewing, completing any pre-employment testing or otherwise participating in the employee selection process, please contact careers@ahcusa.com.
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3.5 | Orange, CA | Orange, CA | 501 to 1000 employees | 2,013 | Company - Private | Health Care Services & Hospitals | Health Care | Unknown / Non-Applicable | -1 | 0 | 0 | 65 | 124 | 94.5 | Alignment Healthcare
| CA | 1 | 7 | 1 | 0 | 1 | 1 | 1 |
Marketing Data Analyst | $35K-$62K (Glassdoor est.) | Under direct supervision of the Director of Database Marketing, the Marketing Data Analyst will work closely with members of the database marketing team and the FP&A marketing analysis team to derive insights from large amounts of customer and transactional data to develop segmentations, strategies, visualizations, reports, and recommendations for various marketing purposes. The Marketing Data Analyst will assist management with the interpretation, evaluation and interrelationship of data and generate integrated business analysis and projections to facilitate decision making.
Essential Duties & Responsibilities
Develop queries in SAS that create marketing campaigns to optimize profit and produce multi-channel campaign outputs.
Design and evaluate various tests and optimizations of campaigns.
Monitor the quality of all data at both the project and output level for the Database Marketing team.
Support the integration of new data sources and analyze and confirm the overall quality and integrity of source data.
Generate database extracts for Database Marketing teams as needed.
Provide campaign analytics to extended team, including insights and recommendations to improve message effectiveness and campaign performance.
Build business intelligence, reports and dashboards using software like SAS, Microsoft Excel/VBA, Tableau, or SAS Visual Analytics that include segment/campaign profitability and customer behavior or trends.
Create relationships with internal stakeholders to discover how data, platform and tools can assist to execute business needs.
Identify new business opportunities or potential risks based on data analysis on subject matters of various operations departments.
Train users as needed.
Perform other duties as assigned to support the efficient operation of the department.
Education/Experience/Qualifications
Bachelors or Masters Degree in Computer Science, Economics, Marketing, Finance, Mathematics, or related field required.
2+ years of experience with SAS and/or SQL and analyzing large datasets.
Equivalent combination of education and progressive, relevant and direct experience may be considered in lieu of minimum educational/experience requirements indicated above.
Advanced proficiency in Microsoft Excel and Word.
Experience working with relational databases is required.
Experience in programming/scripting.
Experience with data visualization, reporting & dash boarding tools such as SAS visual Analytics or Tableau.
Experience with Google Analytics custom reports and dashboards preferred.
Familiarity with marketing methodologies and systems such as segmentation modeling, targeting, CRM, and ROI projections and evaluation.
Predictive Modeling experience preferred.
Employee must have experience demonstrating the utmost discretion and confidentiality as they will have access to confidential information including, but not limited to: customer contact information, customer financial data, and organizational financial data.
Excellent communication skills, both written and verbal.
Must be able to obtain/maintain any necessary certifications and/or licenses.
Ability to mentor coordinators and administrative staff.
Ability to work with mathematical concepts such as probability and statistical inference. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations, including the development of financial statistical models and forecasts.
Ability to define problems, collect data, establish facts, and draw valid conclusions with minimal direction. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables.
Ability to effectively present information to, and respond to questions from, groups of managers and directors. Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, governmental regulations, financial reports, and legal documents. Ability to respond to common inquiries or complaints from customers, regulatory agencies, or members of the business community.
Certificates/Licenses/Registrations
At the discretion of the San Manuel Tribal Gaming Commission you may be required to obtain and maintain a gaming license.
San Manuel Band of Mission Indians and San Manuel Casino will make reasonable accommodations in compliance with the Americans with Disabilities Act of 1990.
As one of the largest private employers in the Inland Empire, San Manuel deeply cares about the future, growth and well-being of its employees. Join our team today! | 3.6 | San Manuel Casino
3.6 | Highland, CA | Highland, CA | 1001 to 5000 employees | 1,986 | Company - Private | Gambling | Arts, Entertainment & Recreation | $100 to $500 million (USD) | -1 | 0 | 0 | 35 | 62 | 48.5 | San Manuel Casino
| CA | 1 | 34 | 0 | 0 | 0 | 0 | 1 |
Senior Scientist (Neuroscience) | $109K-$200K (Glassdoor est.) | Sunovion Pharmaceuticals is looking for a Senior Scientist in Neuroscience to join our Discovery Sciences Department in Marlborough, MA.
As a member of the Discovery Sciences Department, this position will be responsible for designing and managing in vitro and in vivo studies to characterize the biological activity of novel small molecule drug candidates for the treatment of neuropsychiatric and neurological diseases. The position requires broad scientific expertise in the design of studies to examine biochemical pathways and receptor pharmacology and the integration of results to develop neurocircuit & pathway-based hypotheses of drug mechanism of action. Responsibilities include the management of experimental studies conducted through external research partners, as part of our strategy of a flexible business model for drug discovery. The successful candidate will have demonstrated a track record of accomplishments showing successful application of the technical skills required to probe biochemical & pathway effects in experimental systems. Excellent resource management skills and the ability to initiate and maintain effective working relationships with CROs and academic collaborators are essential. This position will work closely with colleagues in medicinal chemistry, safety/toxicology and translational medicine and development and may also lead discovery projects/initiatives.
Essential Functions:
Applies technical expertise to design & conduct studies to support the development of novel small molecules for psychiatric and neurological conditions. Develops mechanistic hypotheses and delivers research results to enhance understanding of mechanism of action & effects on biochemical pathways/circuits. May lead discovery projects/initiatives.
Manages external relationships with CROs, research partners and academic institutions to deliver high impact pharmacology results. Manages research related documentation including study plans, data files and scientific reports supporting regulatory filings. Seeks and develops new external relationships to apply new technologies to CNS discovery programs.
Works in project teams with medicinal chemists, pharmacologists, preclinical safety and translational medicine scientists to advance novel agents into development. Communicates research results to internal and external stakeholders including collaborators, key opinion leaders and partners at Sumitomo Dainippon Pharma.
Minimum Education, Experience, Knowledge and Skills Required:
PhD in Pharmacology, Neuroscience or related field with 3-5 years post-doctoral experience.
At least 3 years post-doctoral research experience in neuroscience research.
Expert in the technical application of biochemistry and receptor pharmacology techniques such as the following: radioligand binding, receptor functional assays, signaling pathways, Western blots, ELISA, neuronal cell cultures systems.
Experience with biochemical pathway analysis tools and techniques used to develop mechanistic hypotheses of drug action eg genomics, RNAseq, (phospho)proteomics desirable.
Knowledgeable in other in vitro/ex vivo techniques eg electrophysiology and able to utilize a wide range of in vitro/ex vivo technique to develop successful research strategies to probe mechanism of action.
Demonstrated record of accomplishments showing technical & research accomplishments and the ability to work collaboratively with external organizations.
Ability to work on computers for extended periods, robust data analysis skills and proficiency with professional software and statistical and pathways analysis tools are required (e.g. MATLAB, R, Python, etc.).
Must have excellent oral and written communication skills and an innovative spirit with capacity for generating new ideas.
Confidential Data: All information (written, verbal, electronic, etc.) that an employee encounters is considered confidential.
Compliance :Achieve and maintain Compliance with all applicable regulatory, legal and operational rules and procedures, by ensuring that all plans and activities for and on behalf of Sunovion are carried out with the \"best\" industry practices and the highest ethical standards.
Mental/Physical Requirements: Fast paced environment handling multiple demands. Must be able to exercise appropriate judgment as necessary. Requires a high level of initiative and independence. Excellent written and oral communication skills required. Requires ability to use a personal computer for extended periods of time. | 3.5 | Sunovion
3.5 | Marlborough, MA | Marlborough, MA | 1001 to 5000 employees | 2,010 | Company - Private | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $1 to $2 billion (USD) | Shire, GlaxoSmithKline, Allergan | 0 | 0 | 109 | 200 | 154.5 | Sunovion
| MA | 1 | 10 | 1 | 0 | 0 | 0 | 1 |
Medical Laboratory Scientist | $18-$25 Per Hour(Glassdoor est.) | Description
Medical Laboratory Scientist - Texas Health Huguley- operated as joint venture between Texas Health Resources and AdventHealth
Location Address: 11801 South Fwy., Burleson, TX 76028
Top Reasons to Work At Texas Health Huguley, Burleson, TX
Our care for patients extend to the spiritual level by praying with patients and families and providing on call, 24 hours, 7 days a week Chaplains for spiritual support.
Award winning facility and departments including Great Place to Work by Beckers Hospital Review and Gallup.
Work with the latest technology and top experts including Daisy Award recipients while on the way to Magnet status2020.
Amazing medical benefits through Aetna plus an onsite full-service fitness center.
Growth opportunities designed for each employee.
Located about 10 minutes from downtown Fort Worth and near TCU in the award-winning school district, Burleson ISD which also provides a low-cost of living.
Work Hours/Shift:
Full Time
3rd Shift
You Will Be Responsible For:
Accurately performs and expeditiously reports laboratory tests, according to departmental policies, CLIA law and regulatory standards.
Determines identity and suitability of specimens when received, according to procedure policies.
Assures test accuracy by performing and recording control testing, in accordance with departmental policy on each shift, as observed by the department supervisor.
Performs tests in accordance with department policy and reports results in a timely manner, as documented in test records.
Organizes daily work efficiently and expedites testing as observed by supervisor.
Investigates problems and takes initiative in resolving them, both technical and non-technical, and communicates the outcome to the appropriate individual.
Reviews integrity of report by checking legibility, completeness and credibility of results prior to releasing, as observed by supervisor.
Accurately performs, records, transcribes or reviews proficiency testing material by the stated deadline, according to laboratory policy and CLIA law, as evidenced in the survey evaluation results.
Maintains instrumentation and department supplies in order to ensure efficient departmental operations.
Performs and documents assigned equipment maintenance duties per shift according to maintenance manuals.
Restocks department supplies on a regular basis to ensure adequacy of inventory, as documented on department checklist.
Recognizes problems in instrumentation, performs first line repairs as outlined in procedure manual and notifies appropriate individual if unable to adequately alleviate the problem.
Promotes and contributes positively to intradepartmental and interdepartmental communications to ensure efficient departmental operation.
Answers telephone and pages promptly and in a courteous manner, identifying self and department at all times.
Assists in orientation and training of new associates unfamiliar with the department, as observed by the supervisor.
Relays all appropriate information during shift hand-off, and ensures department is covered prior to leaving.
Demonstrates good judgment in directing phone calls or questions to the appropriate department or individual.
Promotes a safe working environment by regimented clean up and adherence to safety manuals.
Adheres to established departmental guidelines for clean up on each shift.
Protects self and co-workers by practicing safety precautions as established in safety and infection control manuals.
Maintains appropriate departmental records and filing systems to ensure the expeditious retrieval of information and to comply with regulatory requirements.
Ensures that results are properly filed and that data is recorded in a legible manner as evidenced in departmental records.
Exhibits ability to perform essential computer operations pertaining to job duties.
Performs outpatient ordering as defined in the department policy.
Maintains a professional attitude in the work place regarding procedures, personnel and continuing education.
Demonstrates a willingness to learn new procedures and instrumentation by attending training sessions and becoming familiar with new revisions as they occur.
Reviews policies frequently, assists in updating contents and complies with procedures contained therein.
Demonstrates flexibility by being able to work various departments and alternative shifts when requested.
Exhibits willingness to help associates in their tasks when able.
Accepts constructive criticism and feedback.
Maintains necessary continuing education credits, keeps required competencies current, and maintains valid ASCP Certification.
Qualifications
What You Will Need:
Must have a B.S. degree in Medical Technology, Medical Laboratory Science or a related science.
Valid ASCP or AMT Technologist/Scientist Certification.
At least one year of experience is preferred.
Job Summary:
Perform and report clinical laboratory analysis to assist physicians and other hospital staff in the diagnosis and monitoring of patients.
This facility is an equal opportunity employer and complies with federal, state and local anti-discrimination laws, regulations and ordinances. | 4 | Texas Health Huguley Hospital
4.0 | Burleson, TX | Arlington, TX | 1001 to 5000 employees | 1,977 | Hospital | Health Care Services & Hospitals | Health Care | $50 to $100 million (USD) | -1 | 1 | 0 | 18 | 25 | 21.5 | Texas Health Huguley Hospital
| TX | 0 | 43 | 0 | 0 | 0 | 1 | 0 |
Machine Learning Engineer - Regulatory | $61K-$113K (Glassdoor est.) | Job Description
What We Do
We develop and operate trade surveillance technologies across large and diverse markets. We care deeply about system availability, reliability, and performance. We balance speed, power, and complexity in our functional capabilities. Our mission drives us to create clarity from ambiguity. We work with billions of events each day. We live and breathe automation. If it’s broken, we fix it. If it needs refactoring, we refactor it. If it’s hard to test, we make it testable. We are looking for someone to join us in upgrading our machine learning capabilities.
Responsibilities:
Analyzing, prototyping, and implementing machine learning platform technologies, models, and algorithms for use in surveillance programs.
Employing a range of data processing experiences from real-time, graph, to batch for preparing model data pipelines.
Explaining technical and architectural design topics like we’re five years old.
Working with end-users to gather and define/refine functional requirements
Producing project documentation – high-level charter, functional requirements, technical design, and test documents.
Designing and implementing or integrating data set health monitoring.
Designing and implementing model training plans.
Working closely with infrastructure team on server systems.
Mentoring/Guiding new or less experienced/knowledgeable team members.
Providing on-going application support to end-users and communicating technical information clearly to an end-user audience.
Job Requirements:
7 years software industry experience with one of the following technologies:
Experience with Python and/or a strong desire to learn Python
Experience with Java and/or a strong desire to learn Java
Experience with Linux or UNIX-like operating systems and knowledge of at least one scripting language
2+ years machine learning platform experience
Strong algorithmic problem solving, data analysis, and software systems design skills
Strong knowledge of data structures and algorithms
Excellent written and verbal communication skills
Must be self-motivated and have the ability to work independently as well as part of a team, requiring minimal direction and follow-up
Experience in working on multiple projects concurrently
Experience in financial, trading, exchange, banking and/or related fields is a plus
Bachelor’s Degree in Computer Science or related field preferred
Experience with Hadoop and/or SQL desirable
Cboe Global Markets is an Equal Opportunity Employer. For more information, please click the following links:
Equal Employment Opportunity is The Law (in English)
Equal Employment Opportunity is The Law (in Spanish)
Equal Employment Opportunity is The Law (Supplement)
E-Verify Participation Poster (English)
E-Verify Participation Poster (Spanish)
Right to Work Poster (English)
Right to Work Poster (Spanish) | 3.7 | Cboe Global Markets
3.7 | Lenexa, KS | Chicago, IL | 501 to 1000 employees | 1,973 | Company - Public | Stock Exchanges | Finance | $500 million to $1 billion (USD) | -1 | 0 | 0 | 61 | 113 | 87 | Cboe Global Markets
| KS | 0 | 47 | 1 | 0 | 0 | 0 | 1 |
R&D Specialist/ Food Scientist | $39K-$66K (Glassdoor est.) | Responsibilities Include but may not be limited to: performing various tasks assisting in development of new items, renovation of existing formulations, and supports efforts to ensure quality product is produced, maintained, and documented. Additionally, this position will underwrite efforts in product development and distribution by our sales and prourement teams. This position will also be responsible for maintaining and entering data in several databases.
As a member of the R&D Team, you will help develop products which can be reproduced in a large-scale food manufacturing environment.
Assist in the development of new bean products from concept approval, formulation, product development, plant trial runs to launch and post-launch review by collaborating with Marketing , Sales, Project management, QA, and Production.
Participate as an active member of cross-functional business development teams comprosed of individuals from a variety of desciplines, includjing Marketing, Finance, Purchasing and many others.
Assist in redesign & renovation of existing products to increase quality, reduce costs, and/or increase production efficiencies.
Partner internally and extenally to source new ingredients and leverage vendor expertise in ingredient functionality.
Assist Quality and Procurement departments in maintaining specifications for new ingredients and/or suppliers.
Supoport production with troubleshooting out of spec product or production concerns on established products.
Maintain accurate product records, documentation and archives in various databases including global data synchronization of existing retail business.
Maintain laboratory, including upkeep of equipment, stocking of supplies, and general cleaning of work areas.
Performs other related and assigned duties as necessary.
Minimun Qualifications
Must hold a Bachelors degree in Food Science from an accredited University.
Previous experience in food product development & food manufacturing strongly preferred.
Ability and interest to work in laboratory, pilot plant and manufacturing scale environments.
Proven ability to manage multiple assignments/tasks.
Ability to work independently while collaborating and communicating with team members in various departments.
Strong communication skills (oral and written).
Knowlege of Genesis labeling system preferred but not required.
Must be physically capable of lifting 50lbs. weight restriction. | 2.4 | Teasdale Latin Foods
2.4 | Hoopeston, IL | Flower Mound, TX | 501 to 1000 employees | -1 | Company - Private | Food & Beverage Manufacturing | Manufacturing | $100 to $500 million (USD) | -1 | 0 | 0 | 39 | 66 | 52.5 | Teasdale Latin Foods
| IL | 0 | -1 | 0 | 0 | 0 | 0 | 0 |
Data Engineer | $43K-$86K (Glassdoor est.) | Overview:
Guidepoint Data identifies, gathers, acquires and delivers high-value data that offers clients unparalleled quantitative insight into company and sector performance. We have over a decade of experience in collecting and analyzing primary data on hard-to-access markets, which allows Guidepoint Data to offer clients some of the most differentiated and powerful data available.
As a Data Engineer, you will be part of the development and support of critical data warehouse processes for transforming alternative datasets into valuable investor products. The Data Engineer will collaborate with data-science/analytical teams, data vendors, and hedge fund clients to automate the ingestion, transformation and delivery of time sensitive data. This position is perfect for someone who loves a challenge and has come from a fast-growing company that has helped scale infrastructure, databases, and data warehouses to keep up with the companies growing data.
What You'll Do:
Think strategically about data architecture and how to scale as the business grows
Lead development and support of data ingestion, transformation and delivery processes
Work directly with analysts, data scientists and data partners to develop solutions
Mentor team members on the fine art of data engineering
What You Have:
Ability to build out data pipelines without the assistance of an ETL/ELT tool
Very strong coding skills Python, SQL
Experience with analytics warehouses and big data
Strong cloud experience AWS, Azure, Redshift, Snowflake
At least 2 years of experience with database development in a production environment
Strong grasp of database concepts and best practices
Meticulous, organized, proactive, critical thinker with high level of attention to detail
Excellent communication skills; both written and verbal
BS in Comp Sci or equivalent
What We Have:
Competitive compensation
Free snacks and beverages
Excellent medical, dental, and vision coverage for you and your dependents
401(k) match, life insurance, commuter benefits, corporate gym rates, paid time-off and parental leave plans
Friday happy hour and "Summer Fridays"
Year-round corporate athletic league
Casual work environment
About Guidepoint:
Guidepoint, a leading expert network firm, connects clients with vetted subject matter expertsAdvisorsfrom their global professional network. Guidepoint clients leverage the insights and perspectives shared by Advisors to stay informed and make better business decisions. Its slate of services, including phone consultations, surveys, events and proprietary data insights products, help professionals gain comprehensive understanding of a topic before making strategic or investment decisions. Guidepoint's multinational client list includes 9 of the top 10 consulting firms and some of the largest hedge funds, private equity firms and Fortune-ranked public companies. For more information, visit www.guidepoint.com. | 3.2 | Guidepoint
3.2 | New York, NY | New York, NY | 501 to 1000 employees | 2,003 | Company - Private | Research & Development | Business Services | Unknown / Non-Applicable | Coleman Research, AlphaSights, Third Bridge | 0 | 0 | 43 | 86 | 64.5 | Guidepoint
| NY | 1 | 17 | 1 | 0 | 0 | 1 | 1 |
Scientist, Bacteriology | $74K-$149K (Glassdoor est.) | Scientist, Bacteriology
Location
Cerus US
Department
1400 - Microbiology
Apply Now
Job Brief (Primary Responsibilities)
Initiates and executes research and development viral infectivity assays using a variety of different bacteria, including pathogenic species, in human blood and blood products
JOB DESCRIPTION
Title: Scientist, Bacteriology
Department: Development Status: Exempt
Summary & Scope of Position:
Plans, initiates and executes GLP and research bacteriology studies evaluating the efficiency of Cerus’ technologies against a variety of different human pathogens in human blood products. May occasionally participate in virology assays.
Primary Responsibilities:
Initiate and execute experiments, either independently or as a team member; including experiments
Some of the work may support product claims and regulatory submissions
Work with various pathogenic bacteria using appropriate precautions
Prepare and manipulate whole blood and various blood products, including plasma, platelets and RBC
Initiate, grow and maintain various bacteria
Develop and optimize bacterial stock growth
Develop, optimize and qualify or validate bacterial assays
Perform and appropriately document GLP and notebook studies
Make detailed observations, analyze data and interpret results
Prepare technical reports, summaries, protocols and quantitative analyses
Analyze data and results for research experiments as well as GLP studies
Prepare final reports, study plans, etc., necessary for multiple projects
Prepare and deliver presentations of experimental results in internal or public forums
Maintain high level of professional expertise through familiarity with current scientific literature
Contribute to project progress within his/her scientific discipline
Perform as subject matter expert in general bacteriology
Contribute to/author regulatory submissions and scientific journal articles
May manage bacteriology laboratory including direct supervision of a small staff
May design, initiate and manage off-site studies
Perform other related duties as required
Act as principal investigator in conducting own experiments
Act as study director for GLP studies
Uses professional concepts and company’s policies and procedures to solve a wide range of difficult problems in imaginative and practical ways
Makes decisions on the validity and importance or experimental results
Exercises judgment within defined practices and policies in selecting methods and techniques for obtaining results
Qualifications/Requirements/Skills:
Ph.D. in a bacteriology-related discipline preferred with 2 years relevant experience or MS/MA in a microbiology-related discipline with a minimum of 8 years relevant experience; BA/BS required with a minimum of 15 years relevant experience
Postdoctoral work may serve as experience
Demonstrated ability to initiate, carry out and complete research and/or development projects
Demonstrated working knowledge of scientific principles of microbiology
Experience in developing new methodology and techniques
Experience working with pathogenic organisms
Demonstrated experience with bacterial assays for viability determination and enumeration, experience with a wide range of bacteria
Experience with PCR and other amplification techniques
Experience with cell, or molecular biology
Experience with cell culture, including stock preparation and repository maintenance
Exposure to identification of bacterial morphology
Experience working with human blood products desirable
Experience working in a GLP or other regulated environment desirable
Strong attention to detail and accuracy
Must have publications in peer-reviewed journals, or demonstrated ability to independently write reports that address key technical research and development issues
Excellent mathematical skills, problem solving skills, and ability to apply scientific methods to resolution
Strong word processing, spreadsheet, scientific and graphics applications skills
Proven analytical skills; problem-solving, trouble-shooting, innovative
Team oriented
Ability to work independently
Strong communication and presentation skills (verbal, excellent written, interpersonal, listening)
Flexible; ability to adapt to changing priorities
Time management (schedules, timelines, task prioritization) | 2.1 | Cerus Corporation
2.1 | Concord, CA | Concord, CA | 201 to 500 employees | -1 | Company - Public | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $25 to $50 million (USD) | -1 | 0 | 0 | 74 | 149 | 111.5 | Cerus Corporation
| CA | 1 | -1 | 0 | 0 | 0 | 0 | 1 |
Associate Director, Platform and DevOps- Data Engineering and Aritifical Intelligence | $113K-$196K (Glassdoor est.) | Job Description
Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join us as an Associate Director, Platform and DevOps in our Cambridge, MA.
At Takeda, we are transforming the pharmaceutical industry through our R&D-driven market leadership and being a values-led company. To do this, we empower our people to realize their potential through life-changing work. Certified as a Global Top Employer, we offer stimulating careers, encourage innovation, and strive for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our global teams are united by an unwavering commitment to deliver Better Health and a Brighter Futureto people around the world.
Here, you will be a vital contributor to our inspiring, bold mission.
Takeda is looking for leader in Development Operations and Cloud Scale Analytics to join our Data Engineering and Artificial Intelligence team. As a member of the Data Engineering and AI team, you will be tasked with creating an ecosystem to have the right data, to ask the right question, at the right time. You will work with the rest of the team to enable Takeda to continue its journey to harnessing large scale Big Data, Machine Learning and Deep Learning techniques, while focusing and educating others in the specialty that is Large Scale DevOps. You will help manage a modern ecosystem using elastic and serverless components. You will be helping to solve some of the biggest question at Takeda and for healthcare in general.
POSITION OBJECTIVES:
Provide leadership and highly specialized expertise in the Data Engineering and AI portfolio, complicated data ecosystems, big data and high compute clusters and modern IAAS deployments with elastic and serverless implementations.
Oversee and drive the deployment of automated infrastructure and software deployments from development to production. Demonstrates innovative methods of cloud based IAAS deployments and modern scripting tools to quickly launch, shut down and re-launch platforms and applications using modern and innovative scripted techniques on in an agile accelerating approach and realizing business outcomes, while keeping alignment with the business vision. Also act as a coach for operational excellence to other teams inside and outside of R&D.
Provide leadership to proper operations management. This includes proper “key management” and “controlled operations” for continuous deployments. Ensure quality of service for highly complex deployments with source code control, automation, understanding of scripted service-based environments into IAAS ecosystems, with business continuity in mind.
Manage strategic global R&D systems configuration and deployment within Data Engineering and AI, providing proper discipline and rigor as we deploy new innovative solutions to produce insights that impact our R&D portfolio.
Lead and manage advanced service teams for the Data Engineering and AI portfolio focused on innovation within R&D and manage third party operations teams to function together to provide all the above.
POSITION ACCOUNTABILITIES:
Serve as the DevOps and Operations Lead during Implementation and Deployment of artifacts for Data Engineering products that drive decision for R&D.
Uses new techniques, operational experience and business experience to drive the IT and R&D landscape to develop and ensure products and developments are innovative, secure and use state of the art deployment techniques. Also influences end of life components and transitions vs future state progress against product portfolio’s and long-term goals.
Influence the existing complex landscape and solutions by innovating, redefining and simplifying designs, propose and execute solutions to identified highly complex R&D problems in data or process driven agile approaches.
Designs/builds/deploys complex system and products to R&D to deliver value to our pipeline while ensuring we have a forward-looking technology base, continuously managing short change cycles to drive to our future state strategy.
Lead deployments, ensuring security, integrity and alignment, applying modern/innovative deployment and security techniques, included proper key management, encryption and intrusion prevention / detection.
Build and accelerate new capabilities with the R&D IT functions to transform and innovate new insights and ways of working, impacting the management of keys and operations, the capabilities and the time to change towards improved business outcomes and client satisfaction.
Influence, provide feedback and oversee data scientist and data engineer outputs to find, propose and improve R&D solutions.
Ensure our advanced capabilities are in steady operation, using scripted infrastructure and deployment techniques. This will require utilizing and driving our existing third-party teams who currently manage our deployments maintain a proper production system.
Use coding and/or scripting tools to automate tasks for software and infrastructure deployment and monitoring.
Work independently on tough problems with other team members and independently solve, with some guidance, very difficult technology problems.
Demonstrate advanced tooling and techniques to other technical organizations throughout the company.
EDUCATION, BEHAVIORAL COMPETENCIES AND SKILLS:
Required
Bachelor’s degree or equivalent experience in Scientific, Informatics, Computer Science or related.
5+ years of experience as a technical specialist or relevant project work.
Experience managing outsourced operations teams as a virtual operations team.
Understanding of scripted deployment tools including Ansible, Cloud Formation, Puppet or Chef.
Working knowledge of both Hadoop and HPC environments.
Knowledge and Understanding of IAAS Environments with a focused-on AWS.
Experience managing advanced data platforms including NoSQL (MongoDB, Other), SQL (PostgreSQL, MySQL) and Spark environments.
Experience and Understanding with Docker and other container-based services.
Ability to work in an agile and rapid changing environment with high quality deliverables.
Preferred
Master’s degree/PhD or equivalent experience in Scientific, Informatics, Computer Science or related field.
WHAT TAKEDA CAN OFFER YOU:
401(k) with company match and Annual Retirement Contribution Plan
Tuition reimbursement Company match of charitable contributions
Health & Wellness programs including onsite flu shots and health screenings
Generous time off for vacation and the option to purchase additional vacation days
Community Outreach Programs
Empowering Our People to Shine
Discover more at takedajobs.com
No Phone Calls or Recruiters Please.
#LI-JV1
Locations
Cambridge, MA
Worker Type
Employee
Worker Sub-Type
Regular
Time Type
Full time | 3.7 | Takeda Pharmaceuticals
3.7 | Cambridge, MA | OSAKA, Japan | 10000+ employees | 1,781 | Company - Public | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $10+ billion (USD) | Novartis, Baxter, Pfizer | 0 | 0 | 113 | 196 | 154.5 | Takeda Pharmaceuticals
| MA | 0 | 239 | 0 | 0 | 1 | 1 | 1 |
Senior Research Scientist-Machine Learning | $81K-$167K (Glassdoor est.) | What We Do:
At the SEI Emerging Technology Center, we describe our work as “making the recently possible mission-practical.” We help our government customers stay at the leading edge of technology by identifying, demonstrating, extending, and applying emerging software technologies to solve real government problems. We currently work in the fields of human-machine interaction, applied artificial intelligence and machine learning, and advanced computing—areas that are changing and progressing rapidly. As we show our customers how new technologies can improve their mission capabilities through rapid prototyping and iterative development, we both rely on and shape academic and industrial research.
Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.
Position Summary:
As a senior research scientist focusing on machine learning, you will identify, shape, apply, conduct, and lead research that matches critical U.S. government needs.
Requirements:
BS in Computer Science or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD with five (5) years of experience.
Flexible to travel to other SEI offices in Pittsburgh and Washington, DC, sponsor sites, conferences, and offsite meetings on occasion. Moderate (25") travel outside of your home location.
You will be subject to a background investigation and must be eligible to obtain and maintain a Department of Defense security clearance.
Duties:
Hands-on research: You’ll conduct and lead novel research in applied machine learning and artificial intelligence.
Solution development: You’ll work with and lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders.
Strategy: You’ll work with Center leaders and colleagues to plan, develop, and carry out an overall research strategy, and to influence the national research agenda regarding future technology.
Collaboration: You'll actively participate on teams of software developers, researchers, designers, and technical leads. You'll build relationships and collaborate with researchers, government customers, and other stakeholders to understand challenges, needs, possible solutions, and research directions.
Mentoring: You'll contribute to improving the overall technical capabilities of the Center by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI Emerging Technology Center team.
Knowledge, Skills, and Abilities:
Deep technical knowledge: You have performed extensive research in applied machine learning and artificial intelligence. You have worked with tools, techniques, algorithms, software, and programming languages for deep learning, reinforcement learning, statistics, sensors and sensor fusion, planning, computer vision, or related areas.
Communication and Collaboration: You have strong written and verbal communication skills and can interact collaboratively and diplomatically with customers and colleagues. You grasp the big picture, direction, and goals of an effort while focusing great attention to detail. You can present complex ideas to people who may not have a deep understanding of the subject area.
Dedication: You can meet deadlines while multi-tasking–sometimes under pressure and with shifting priorities.
Creativity and Innovation: You are creative and curious, and you are inspired by the prospect of collaborating with premier researchers and visionaries at Carnegie Mellon and other universities and organizations. You quickly learn new procedures, techniques, and approaches. You are forward-looking and can connect research with practical challenges.
Knowledge and Learning: You possess broad technical interests along with a deep knowledge of a particular field such as human-computer interaction, data analytics and machine learning, advanced computing, and autonomy and adaptive systems.
Desired Experience:
Research practices and publications: You have a track record of conducting research in machine learning and artificial intelligence. You have a reputation for the highest level of research and technical integrity. You have demonstrated contributions and have published research.
Familiarity with emerging trends and opportunities: You are familiar with technical challenges and emerging trends in computing and information science, and you are aware of opportunities in industry and government.
Technical leadership: You have led research projects and have experience collaborating across research teams and mentoring other researchers.
Proposals: You have formulated and delivered successful research proposals to funding agencies and led the resulting projects.
Government projects: You have worked or are familiar with DARPA, IARPA, Service Labs, or other government research sponsors
More Information
Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
A listing of employee benefits is available at: www.cmu.edu/jobs/benefits-at-a-glance/.
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. | 2.6 | Software Engineering Institute
2.6 | Pittsburgh, PA | Pittsburgh, PA | 501 to 1000 employees | 1,984 | College / University | Colleges & Universities | Education | Unknown / Non-Applicable | -1 | 0 | 0 | 81 | 167 | 124 | Software Engineering Institute
| PA | 1 | 36 | 0 | 0 | 0 | 0 | 0 |
Senior Data Scientist | $97K-$160K (Glassdoor est.) | Who We Are!
At Maven Wave, we are relentless in hiring the industry’s top talent. Each employee is hand-picked not only for their skills, but for their personality and broad expertise. We are looking for this rare combination of talent that sets us apart in the industry.
Maven Wave helps leading companies make the shift to digital and shorten the fuse to innovation. We combine the expertise of top-tier consulting with the agility of a cutting-edge technology firm. This multidisciplinary blend of skills allows us to create unique digital advantages for our clients. Maven Wave’s digital solutions are agile, mobile, rooted in analytics, and built in the cloud.
Maven Wave, Google, and YOU: Drive and deliver business results with data-based insights.
We are looking for a Senior Data Scientist who will utilize their analytical, statistical, and programming skills to develop data-driven solutions to complex business challenges.
Your Life As a Maven:
Leverage company data to drive business solutions for enterprise clients using R and Python.
Perform data collection for Data Science operations including Machine Learning.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
Assess Model accuracy using common metrics (AUC, F1, etc.) and explain the results to client stakeholders.
Your Expertise:
7+ years of experience manipulating data sets and building statistical models.
Cloud experience in a major platform, such as AWS, GCP, or Azure.
Experience using Data Science languages (R, Python) to manipulate data and draw insights.
Knowledge of a variety of Machine Learning and advanced analytical techniques and their real world advantages/drawbacks.
Familiarity with the following software/tools: Python, C, Java, Jupyter Notebooks, SQL, ML platforms (H2O, DataRobot), distributed data (Map/Reduce, Hadoop), and visualization (Tableau, qikview)
Your X-Factor:
Aptitude - You have an innate capacity to transition from project to project without skipping a beat.
Communication - You have excellent written and verbal communication skills for coordination across projects and teams.
Impact - You are a critical thinker with an emphasis on creativity and innovation.
Passion - You have the drive to succeed paired with a continuous hunger to learn.
Leadership - You are trusted, empathetic, accountable, and empower others around you.
Why We’re Proud To Be Mavens!
Google Cloud North America Services Partner of the Year 2019, 2018
#21 Best Workplaces in Chicago, FORTUNE, 2018
Great Place To Work Certification, Great Place to Work, 2017 & 2018
Fast Fifty, Crain's Chicago Business
101 Best and Brightest Companies to Work For, National Association for Business Resources (NABR)
Top Google Cloud Partner, Clutch
Fastest Growing Consulting Firms in North America (#11, #37), Consulting Magazine
Top IT Services Companies, Clutch
Google Global Rising Star Partner of the Year
Ready to Learn More?
Life as a Maven
Check out the Apps and Data Team
See what Glassdoor has to say
Real Customer Stories | 4.4 | Maven Wave Partners
4.4 | Chicago, IL | Chicago, IL | 201 to 500 employees | 2,008 | Company - Private | Consulting | Business Services | $50 to $100 million (USD) | -1 | 0 | 0 | 97 | 160 | 128.5 | Maven Wave Partners
| IL | 1 | 12 | 1 | 0 | 0 | 1 | 1 |
Clinical Laboratory Scientist | $24-$39 Per Hour(Glassdoor est.) | POSITION PURPOSE:
Performs CLIA moderate and high complexity laboratory tests and analyses; recognizes and corrects problems; possesses in depth knowledge of laboratory techniques, principles, and instruments; correlates and interprets test results. Provides physicians with rapid and accurate test results.
ESSENTIAL JOB FUNCTIONS:
Performs CLIA moderate and high complex lab testing, automated and non-automated, in hematology, chemistry, blood bank, microbiology, coagulation, serology, and molecular diagnostics.
Performs, statistically evaluates, troubleshoots, and records quality control, calibrations, validations on test assays.
Performs and records preventive maintenance on lab instrumentation. Identifies, evaluates, and performs corrective maintenance on lab equipment.
Validates, correlates with patients' diagnosis, interprets, & reports laboratory test data; enters data into LIS system and reviews it's completeness and accuracy. Reports and interprets data to physicians, infection control, regulatory agencies, as required.
Performs specimen collection, handling, processing, storage. Evaluates specimens quality for testing and troubleshoots deviations.
Assists in the development of QA and QI projects; collects and tabulates QA data.
Assists with training and education of new med techs and lab assistants.
Maintains competency and continuing education in general lab practices.
Perform other duties as assigned. Must be HIPAA compliant.
MINIMUM QUALIFICATIONS:
Experience:
3 years in a CLIA high complexity lab required.
Certification(s):
MLS(ASCP) = ASCP certification as a Medical Laboratory Scientist or
MT(AMT) or AMT certification as a Medical Technologist required
Computer / Typing:
Must possess, or be able to obtain within 90 days, the computers skills necessary to complete online learning requirements for job-specific competencies, access online forms and policies, complete online benefits enrollment, etc. | 3.7 | Vail Health
3.7 | Vail, CO | Vail, CO | 501 to 1000 employees | 1,966 | Hospital | Health Care Services & Hospitals | Health Care | $100 to $500 million (USD) | -1 | 1 | 0 | 24 | 39 | 31.5 | Vail Health
| CO | 1 | 54 | 0 | 0 | 0 | 0 | 0 |
Analytics Manager - Data Mart | $42K-$86K (Glassdoor est.) | We have an opportunity to join the Alliance as the Analytics Manager - Data Mart leading in the Analytics Services Department.
WHAT YOU'LL BE RESPONSIBLE FOR
Reporting to the Analytics Director, you will manage and lead the analytical data management function, including the gathering and assessment of business information needs for enterprise analytics and preparation of system requirements in order to create a single source of truth. Manage and lead the business information solution based Key Performance Indicator (KPI) dashboard reporting, customization, training and related integration with the Enterprise Data Warehouse (EDW). You will also manage, supervise, mentor and train assigned staff.
ABOUT THE TEAM
Our Analytics teams are skilled, focused, and highly collaborative. We work hard, have fun and take pride in how our work impacts the health outcomes for the communities we serve.
THE IDEAL CANDIDATE WILL HAVE
Passion and drive to roll up their sleeves and be a hands on manager
Expertise and passion in the design, maintenance and evaluation of comprehensive analytical data marts
Strength in developing data management plans, data dictionaries
Experience and excitement for developing new teams and processes
Strong communication skills and the ability to partner with cross-functional teams
Ability to lead and inspire others, while promoting an environment that supports professional growth, embraces complex challenges and celebrates accomplishments
WHAT YOU'LL NEED TO BE SUCCESSFUL
To read the full position description, and list of requirements click here.
Knowledge of:
Data warehouse and analytical data mart concepts
SQL
Tools and techniques of data analysis and information reporting
Thorough knowledge of information repository issues and concepts
Joint Application Design (JAD) facilitation or other requirements-gathering techniques
Relational database concepts and the creation of queries and reports using SQL and Tableau
Data elements and their relationship to data quality requirements
Ability to:
Develop work plans and workflows and organize and prioritize analytical data mart activities
Interpret and apply complex principles, policies, terms and procedures
Define issues, interpret data, identify solutions, and make recommendations for action
Independently document, summarize and resolve complex issues and projects
Train, mentor, supervise, and evaluate the work of staff
Education and Experience:
Bachelor's degree in Computer Science, Information Science or a related field and seven years of experience performing data analysis and manipulation which included some experience leading or supervising staff; or an equivalent combination of education and experience may be qualifying
OUR BENEFITS
Medical, Dental and Vision Plans
Ample Paid Time Off
11 Paid Holidays per year
401(a) Retirement Plan
457 Deferred Compensation Plan
Robust Health and Wellness Program
EV Charging Stations
And many more
ABOUT US
We are a group of over 500 dedicated employees, committed to our mission of providing accessible, quality health care that is guided by local innovation. We feel that our work is bigger than ourselves. We leave work each day knowing that we made a difference in the community around us.
Join us at Central California Alliance for Health (the Alliance), where you will be part of a culture that is respectful, diverse, professional and fun, and where you are empowered to do your best work. As a regional non-profit health plan, we serve over 330,000 members in Santa Cruz, Monterey and Merced counties. To learn more about us, click here or check out this video.
At this time the Alliance does not provide any type of sponsorship. Applicants must be currently authorized to work in the United States on a full-time, ongoing basis without current or future needs for sponsorship. | 3.5 | Central California Alliance for Health
3.5 | Scotts Valley, CA | Scotts Valley, CA | 501 to 1000 employees | 1,996 | Nonprofit Organization | Health Care Services & Hospitals | Health Care | $500 million to $1 billion (USD) | -1 | 0 | 0 | 42 | 86 | 64 | Central California Alliance for Health
| CA | 1 | 24 | 0 | 0 | 0 | 0 | 0 |
Sr. Data Engineer - Contract-to-Hire (Java) | $69K-$127K (Glassdoor est.) | As we strive to make a better day for our guests and team members, we look to enhance our enterprise applications dev team / master data efforts by adding someone with experience in Java. You will:
1. Develop solutions to support the initiative of moving our technology stack to the cloud
2. Maintain and develop solutions on SQL Server / PostgreSQL database leveraging tables, stored procedures, views, database roles, etc
3. Utilize a scripting language for automation of manual processes and manipulation/massage of data
4. Design solutions, document findings (gaps and risks), and communicate information and results to business partners in a concise and repeatable manner
5. Maintain up-to-date knowledge of industry standards for ETL tools and MDM technical solutions
6. Develop and maintain APIs using both MuleSoft and native EBX APIs
Requirements:
Java experience required.
Experience with the Software Development Lifecycle (SDLC) required.
Source control experience required. GITHUB, Subversion, or equivalent preferred
Experience using query languages within relational database management systems (RDBMS). PostgreSQL and SQL Server are preferred.
Python or shell scripting experience is a plus.
.NET development experience is a plus.
Release Management / Configuration Management / CICD experience a plus
Experience with Maven, Jenkins, and SonarQube a plus
Experience with large volumes of data using an established Enterprise Data Warehouse a plus
Data extract, transform and load experience with an enterprise solution such as Informatica, SSIS, or Talend, is a plus.
Experience using REST/SOAP APIs and MuleSoft experience a plus.
Ability to troubleshoot and resolve issues independently is a plus.
Attention to detail and strong problem solving skills desired.
Ability to work as a member of a team to achieve stated goals.
Job Type: Contract
Experience:
Java: 3 years (Required)
SDLC: 2 years (Preferred)
PostgreSQL and SQL: 2 years (Required)
Location:
Knoxville, TN (Required)
Work authorization:
United States (Required)
Work Location:
One location
Benefits:
Health insurance
Schedule::
Monday to Friday | 3 | Pilot Flying J Travel Centers LLC
3.0 | Knoxville, TN | Knoxville, TN | 10000+ employees | 1,958 | Company - Private | Gas Stations | Retail | $10+ billion (USD) | TravelCenters of America, Love's Travel Stops & Country Stores, Wawa | 0 | 0 | 69 | 127 | 98 | Pilot Flying J Travel Centers LLC
| TN | 1 | 62 | 1 | 0 | 0 | 0 | 0 |
Data Scientist - Algorithms & Inference | $110K-$175K (Glassdoor est.) | At Nuna, our mission is to make high-quality healthcare affordable for everyone. We are dedicated to tackling one of our nation's biggest problems with ingenuity, creativity, and a keen moral compass.
Nuna is committed to simple principles: a rigorous understanding of data, modern technology, and most importantly, compassion and care for our fellow human. We want to know what really works, what doesn't—and why.
Nuna partners with healthcare payers, including government agencies and health plans, to turn data into learnings and information into meaning.
YOUR TEAM
The Mission of Data Science at Nuna is to develop analytic methods and actionable insights that drive accountability and smarter, data-driven decision making in our healthcare system. Team members come from fields such as biomedical informatics, health economics, statistics, and operations research and share a passion for research, experimentation, measurement, and learning. We work daily with Nuna's Engineering, Design, and Product teams to unlock the power of healthcare data in pursuit of high-quality & affordable healthcare.
YOUR IMPACT
We are seeking a talented individual who will be part of a cross-functional team focusing on core R&D efforts for data products at Nuna. Specifically, this individual will participate in the development of methods for measuring health-system and provider performance, forecasting how that performance will change as a function of shifting incentives and surfacing actionable recommendations for improvement. This individual will work closely with Product, Engineering and design teams to help create novel tools and technology that will promote the adoption, operation and success of value based payment models.
YOUR OPPORTUNITIES
As part of Nuna's Data Science team, you will:
Support the creation of technology and data products that facilitate the adoption and operation of value based payment models and proliferation of high quality, cost effective care
Work with subject matter experts and stakeholders, both internal and external to Nuna, to formulate methodologies for measuring healthcare performance
Research and propose analytic approaches for ambiguously-scoped problems
Present solutions to internal and external stakeholders, gather feedback, and iterate on methodologies
Work closely with engineering and product to productize key insights and drive behavior change
YOU BRING
Advanced degrees (PhD or Masters) in quantitative field (Statistics, Economics, Health Policy, Health/Medical Informatics, or similar) or equivalent experience
3+ years of experience with real-world datasets
Prior experience writing production code in a distributed computing environment, and familiarity with associated engineering practices.
Strong understanding of and experience with applied Statistics and Machine Learning
Experience conducting self-directed, quantitative research on ambiguously scoped questions and topics in a business setting
Clear communication skills and the ability to break down problems and generate shared understanding
Strong attention to detail
Ability to work both as part of a team as well as in a self-directed manner
BONUSES
Familiarity with healthcare performance metrics and supporting methodologies (i.e. risk-adjustment and attribution)
Prior work experience with or research on healthcare payers or providers. Of particular relevance: Medicare Advantage, Medicaid Managed Care and the ACA Exchange market segments
Familiarity with shared-risk care models
Experience working with healthcare data, such as claims data, enrollment data or EHR data
Nuna is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetics and/or veteran status. | 4.2 | Nuna
4.2 | San Francisco, CA | San Francisco, CA | 51 to 200 employees | 2,010 | Company - Private | Enterprise Software & Network Solutions | Information Technology | Unknown / Non-Applicable | -1 | 0 | 0 | 110 | 175 | 142.5 | Nuna
| CA | 1 | 10 | 0 | 0 | 0 | 0 | 0 |
Senior Data Scientist - R&D Oncology | $102K-$172K (Glassdoor est.) | At AstraZeneca,we work together to deliver innovative medicines to patients across global boundaries. We make an impact and findsolutionsto challenges. We do this with integrity, even in the most difficult situations,because we are committed to doing the right thing.
Job Description
The Machine Learning and AI team in AstraZenecas Oncology Data Science & Analytics group is where we develop and apply sophisticated algorithms and techniques to solve the hardest problems in oncology drug discovery and development. The team uses their scientific, quantitative, and problem-solving skills to work on a broad range of challenges across the whole oncology portfolio, working collaboratively with other scientists across a range of disciplines to scope, define, and deliver projects that both advance the state of the art in data science and accelerate the delivery of innovative medicines to patients.
As a Senior Data Scientist you will play a key role on the front line in this rapidly growing team working to extract insight from complex biomedical data. You will develop your leadership skills and apply and develop your expertise in rigorous quantitative data science to provide solutions to a variety of data science problems, researching, recommending and delivering novel methodologies to solve the problems that matter to the oncology pipeline.
Examples of projects the team works on include machine learning models for developing digital biomarkers, patient risk stratification for clinical trials, new algorithms for survival analysis, approaches to quantitatively analyse wearable data, linking of medical imaging data with omics and longitudinal outcomes to identify and/or validate new drug targets, and much more!
Typical Accountabilities
Provides advanced data science expertise to AstraZeneca projects and recommends data science solutions.
Delivers advanced data science solutions to AstraZeneca projects, appropriately communicating with non-technical stakeholders.
Works within established frameworks to deliver a variety of tasks that support projects in meeting their objectives.
Independently keeps own knowledge up to date and learns from senior team members, proposing appropriate training courses for personal development.
Reviews working practices and ensures non-compliant processes are escalated
Ensures own work is compliant within Clinical Development.
Collaborate in a multidisciplinary environment with world leading clinicians, data scientists, biological experts, statisticians and IT professionals.
Education, Qualifications, Skills and Experience
Essential
MSc degree in rigorous quantitative science (such as mathematics, computer science, engineering)
Practical software development skills in standard data science tools (such as R or python)
Knowledge of range of mathematical and statistical modelling techniques, and drive to continue to learn and develop these skills.
Minimum 2+ years of experience or post doctoral.
Desirable
PhD degree in rigorous quantitative science (such as mathematics, computer science, engineering)
Experience within the pharmaceutical industry
Communication, business analysis, and consultancy. | 3.9 | AstraZeneca
3.9 | New York, NY | Cambridge, United Kingdom | 10000+ employees | 1,913 | Company - Public | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $10+ billion (USD) | Roche, GlaxoSmithKline, Novartis | 0 | 0 | 102 | 172 | 137 | AstraZeneca
| NY | 0 | 107 | 1 | 0 | 0 | 0 | 0 |
Data Engineer | $74K-$124K (Glassdoor est.) | Pinnacol Assurance does just one thing, and does it better than anyone: provide caring workers' compensation protection to Colorado employers and employees. And while we may be a little biased, we believe that our work shapes communities and changes lives.
Pinnacol's data engineering team works very hard in a fun and supportive environment—and we are growing! We are looking for passionate problem solvers to join our efforts to build tomorrow's best in class data solutions.
What you'll do:
As a Data Engineer, you play a key part in realizing our mission to provide customers with tools they love to use. As a member of the Data Transformation Team you will be responsible for data management tasks including design, development, and data security in a Google Cloud Platform environment. You will leverage your experience and skills to design solutions that will deliver Pinnacol data products while operating as a key contributor on a team of dedicated professionals working toward a common product vision.
What you can expect:
Design, develop, document, monitor, and optimize automated data pipelines for various internal and third-party data sources.
Develop custom code using Python, SQL/NoSQL, Google Cloud-Composer (Airflow), Apache Beam and other technologies to build customized solutions supporting business initiatives/processes.
Implement software engineering best practices by developing, refining, iterating, integrating, testing, staging, and deploying maintainable technical solutions.
Develop solutions which adhere to data privacy laws and regulations using Data Loss Prevention toolsets and secure storage practices.
Provide innovative solutions leveraging modern data tools and techniques.
Enhance our platform capabilities and make recommendations to support a rapidly growing organization.
Use analytical skills and judgement to solve problems and make decisions in a rapidly changing environment.
Communicate complicated problems to team members to ensure we are coming up with the right solutions.
Be accountable for effectively driving, communicating and managing changes that ensure the performance and sustainability of our data processes.
Remain current on the external environment for industry leading tools, technology, analytics and best practices to continuously improve Pinnacol's customer value proposition
Additional Duties:
Train other employees as needed
Serve on committees
Present business and technical subjects to team members or other internal groups
Perform other duties as assigned
What you'll bring to the table:
Minimum Qualifications:
Experience designing and implementing data solutions in cloud environments
Experience with ETL/ELT tooling and practices
Data Provenance/Lineage approaches
Cloud-based Data storage and security best practices
Ideal Qualifications:
Experience with Google Cloud Platform
Experience with Apache Airflow/Cloud Composer or similar
Experience with Apache Beam/Dataflow or similar
Experience with Docker and Kubernetes or similar
Experience with BigQuery or similar
Experience with functional data engineering best practices
Must be flexible, innovative, and have the ability to perform in a rapidly changing, fast-paced environment.
We can't do our work without people like you.
Our employees are extraordinary and committed to making a difference. Here's some of the ways we show our appreciation.
Our benefits go beyond the basics. You'll get to choose from diverse benefit offerings for medical, dental and vision.
We care about each other. We enjoy a positive, collaborative work environment. We are hard workers and high performers.
Take a day (or 20!) off. Enjoy 20 paid days off your first full year plus eight paid holidays annually.
Take care of yourself. Sign up for unique wellness programs, including on-site, company-paid fitness facilities and classes
Get your learning on. We promote a learning culture to help you master your current job and cultivate the skills of the future through a variety of on-site, online, and off-site professional development opportunities.
Give back and get paid. Through our employee volunteer program, Pinnacol in Action, employees receive paid time off to volunteer with Colorado nonprofits.
Share in our success. You'll have the opportunity to earn a quarterly incentive, up to 20 percent of your annual base salary, when your team exceeds their goals and objectives.
When we find the right person, we try to put our best foot forward with an offer that excites you. We consider what you'd like to be paid, what similar jobs pay in the Denver area and make sure there's equal pay for equal work among those you'll be working with.
Want to love your work? Apply today! | 4 | Pinnacol Assurance
4.0 | Denver, CO | Denver, CO | 501 to 1000 employees | 1,915 | Nonprofit Organization | Insurance Carriers | Insurance | $500 million to $1 billion (USD) | -1 | 0 | 0 | 74 | 124 | 99 | Pinnacol Assurance
| CO | 1 | 105 | 1 | 0 | 0 | 1 | 0 |
Food Scientist - Developer | $40K-$68K (Glassdoor est.) | Palermo Villa Inc. is interested in a high-energy, poised and confident individual to assist in the development of concepts, products and optimization projects through Palermo's vigorous consumer-driven R&D process.
The position will apply scientific and culinary principles in research and development. Develops the understanding of and ability to translate food trends into innovative opportunities, stimulate new food ideas and product concepts.
Identify, evaluate and develop potential new product development opportunities. From bench-top samples to commercialized products and finished product specifications
Assist in food product formulation from bench top to commercialization using a continuously developing skill set in food formulation and processing equipment capability understanding.
Applies an analytical approach to the solution of a wide variety of problems and assimilates the details and significance of various scientific analyses, procedures, and tests
Demonstrates initiative, creativity and thoroughness in the execution of complex projects
Plans and conducts independent research projects and participates in the development of project objectives
Contributes to the development of project strategies and recommends technical direction to management
Evaluates technical trends in their specific area of expertise or assignment and makes recommendations for process or product improvements and identify opportunities for new or improved process or products
Organize and direct sample development for sales presentations, consumer testing and food safety assurance
Maintains written technical documentation and product and process specifications as pertaining to R&D
Utilizes or directs internal (manufacturing, engineering, marketing, quality systems, procurement) and external (suppliers, consultants) functional experts to resolve issues.
Assist in PR events, food shows and Sales presentations on key customer calls
Provide technical support/serves as product development contact for Sales, Customer and Operations
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The position requires 5+ years' experience developing products within the food industry.
Strong interpersonal and communication skills
Ability to effectively present information to top management, public groups, and/or boards of directors.
Ability to apply mathematical operations to such tasks as frequency distribution, determination of test reliability and validity, analysis of variance, correlation techniques, sampling theory, and factor analysis.
Ability to define problems, collect data, establish facts, and draw valid conclusions.
Strong computer skills are necessary
Educational Requirements:
Bachelor's Degree in Food Science, Biology, Chemistry, Culinary or equivalent | 3.3 | Palermo's Pizza
3.3 | Milwaukee, WI | Milwaukee, WI | 501 to 1000 employees | 1,964 | Company - Private | Food & Beverage Manufacturing | Manufacturing | Unknown / Non-Applicable | -1 | 0 | 0 | 40 | 68 | 54 | Palermo's Pizza
| WI | 1 | 56 | 0 | 0 | 0 | 0 | 0 |
Senior Data Scientist | $108K-$171K (Glassdoor est.) | The Infrastructure, Architecture, and Tools team is looking for a motivated, fast-learning candidate to drive the design and development of data analytics tooling and reports. You will be joining a fast-paced, dynamic software development team that is constantly solving new and challenging problems. You'll be working with our internal teams to understand their data analysis and reporting needs in order to design, develop, and enhance our organizational data marts and data analytic reports. Youll be using data gathered from our internal systems to help us improve our product development process and to evolve our internal Continuous Integration system to meet the needs of Development
Analyze different types of data in order to provide direction to improve the infrastructure of a highly automated facility that supports building, testing, and releasing all MathWorks products.
Profile and understand large volumes of source data, including structured and unstructured data.
Provide total analytic support which includes data extraction from multiple sources, synthesizing and aggregating data, and developing reports.
Identify opportunities to leverage existing metrics and develop new ones to help move the organization forward by identifying waste in our processes.
Create and maintain a system that helps ad-hoc metrics providers move to a more robust and sharable reporting interface.
Develop guidelines and processes to ensure data integrity and quality standards are met on new and existing data.
Establish service level agreements and best practices with Business Partners for reports and ad-hoc analysis.
5+ years experience in business / intelligence, business analysis
Strong quantitative visualization and analytical skills.
Experience SQL coding/querying skills in SQL Server and/or MySQL
Experience with Business Intelligence tools such as Microsoft Power BI, Tableau, or Business Objects
Experience with data mining techniques
Experience with web technologies such as JavaScript, jQuery, D3
Experience with scripting languages such as Perl, Python, etc.
Ability to clearly explain technical and analytical information (verbally, written & in presentation format)
Familiarity with one or more ETL tools such as Microsoft SSIS, Talend, Data Services, Data Integrator, Informatica, etc.
Experience with MATLAB a plus
Experience with web development a plus
A bachelor's degree and 7 years of professional work experience (or a master's degree and 5 years of professional work experience) is required. | 4.4 | MathWorks
4.4 | Natick, MA | Natick, MA | 1001 to 5000 employees | 1,984 | Company - Private | Computer Hardware & Software | Information Technology | $1 to $2 billion (USD) | -1 | 0 | 0 | 108 | 171 | 139.5 | MathWorks
| MA | 1 | 36 | 1 | 0 | 0 | 0 | 0 |
Data Engineer | $76K-$142K (Glassdoor est.) | MetroStar Systems is looking for a Data Engineer that is passionate about creating and managing modern data structures and supporting applications. The goal is to migrate legacy databases from premise to AWS and transform them into a Data Lake for a modern web application. This project is using the most up-to-date technologies lead by a highly technical team. If you want to join a company that values people that are fearless about making technology work and are open to commuting primarily to Rockville, MD; but may also include Reston, VA, we want you to work for MetroStar!
You're a great fit if:
You have experience programming with Databases or were previously a DBA
You have experience managing and/or designing Data Lakes or other modern data structures
You have experience with Elastic or Solr based search deployments
You have worked with AWS based environments and solved data engineering problems in the cloud
You enjoy working in an Agile environment and group setting in order to provide timely, effective, and customized software solutions to your customer
You’re passionate about modern data design and getting data out of legacy data structures to make it more usable, efficient, and powerful
Open to commuting to primarily Rockville, MD; but also Reston, VA.
You'll love our Data Engineer position if: (This is the stuff you MUST have to be a fit)
You have 5+ years doing database or data lake programming
You have 2+ years doing data design and engineering in a virtualized environment (preferably AWS)
You have a strong understanding of Data Structure and Storage options in AWS
You have 2+ years of experience with repository tools such as Git or Bitbucket and project tracking systems such as Jira
You have experience working in Agile environments and using data engineering to support data needs in rapid deployments.
You have a Bachelor’s Degree or relevant work experience in working with Data Engineering.
We'll REALLY love you if: (This is the bonus stuff that makes you stand out)
You have programming in or designed a Data Lake in AWS
You have experience migrating a legacy database into a cloud native or modern data structure
You have experience working in sprints and/or Kanban.
You understand various data design principles and can discuss the merits of various approaches in an interview
What your day will look like:
You will support both on premise and cloud hosted web applications as we migrate applications.
You will design data structures which address business needs currently addressed by a legacy DB.
You will work with Scrum Masters, Business Analysts, and Developers to engineer catalog and customer data from legacy data systems to a new system, assist with migration, and support
The Admin Stuff: Applicants selected may be subject to a government security investigation and must meet eligibility requirements for potential access to classified information. Accordingly, US Citizenship is required
The Legal Stuff:MetroStar Systems is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of MetroStar Systems. | 3.4 | MetroStar Systems
3.4 | Rockville, MD | Reston, VA | 201 to 500 employees | 1,999 | Company - Private | IT Services | Information Technology | $25 to $50 million (USD) | -1 | 0 | 0 | 76 | 142 | 109 | MetroStar Systems
| MD | 0 | 21 | 0 | 0 | 0 | 1 | 0 |
Director II, Data Science - GRM Actuarial | $202K-$306K (Glassdoor est.) | Advance your career at Liberty Mutual Insurance - A Fortune 100 Company!
Job Summary:
GRM Actuarial - Predictive Modeling team is searching for a highly motivated Director II, Data Science who is eager to make an impact on the very complex and evolving insurance industry. As the manager of the US Short-Tailed Lines Predictive Modeling team, you will provide analytical direction for a team of actuarial and data science professionals. You and your team will leverage primary data, advanced quantitative modeling and financial analysis to develop predictive models and tools that enable data-driven strategic decision-making. This role requires broad knowledge of predictive modeling techniques, and advanced application of those techniques to a variety of business issues. You will provide highly technical analytical assessments of business issues to management and a mixture of technical and non-technical audiences so good communication skills are essential. This is a highly visible role that will connect often with senior management and other groups across Liberty Mutual.
Responsibilities:
Manage, coach and develop a team of up to six highly-skilled actuarial and data science staff.
Collaborate with other business partners to develop appropriate statistical approaches and tools that will drive strategic decision making related to reserving, trends and other challenging problems central to our business.
Understand the competitive marketplace, business issues, and data challenges in order to deliver actionable insights, recommendations and business processes.
Research, recommend, and implement new and/or alternative statistical and mathematical methodologies appropriate for the given model or analysis.
Supervise and perform highly complex, technical and creative predictive modeling projects.
Effectively communicate results, insights and recommendations in written, oral and presentation formats to technical and non-technical audiences.
Regularly engage with data science and actuarial communities and lead cross-functional working groups.
Qualifications:
Master's Degree in Mathematics, Economics, Statistics or any other quantitative field plus a minimum 7 years of applied business/non-academic experience preferred; OR Ph.D. plus a minimum of 4 years of experience preferred; OR Fellowship in the Casualty Actuarial Society (FCAS) designation required plus a minimum of 5 years of experience, or comparable actuarial education/designation combined with relevant experience.Proficient in predictive analytics including real-world experience in model development, validation, and testing.
Experienced in the following: generalized linear models, survival models, random forests, clustering, and Bayesian approaches to data analysis.
Proficient with at least one language for data analysis, such as R, Python or SAS.
Proven ability to lead and drive projects and assignments to completion through others, and effectively engage talent.
Knowledge of insurance principles, underwriting and the various functions of an insurance organization, including Finance, Underwriting, Sales and Claims desirable.
Exceptional planning, analytical, decision-making, communication and project management skills.
Demonstrated ability to exchange ideas and convey complex information clearly and concisely, both verbally and in writing.
Ability to give effective presentations to and influence senior leaders and other groups.
Management experience is preferred.
Benefits:
We value your hard work, integrity and commitment to positive change. In return for your service, it's our privilege to offer you benefits and rewards that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits
Overview:
At Liberty Mutual, we give motivated, accomplished professionals the opportunity to help us redefine what insurance means; to work for a global leader with a deep sense of humanity and a focus on improving and protecting everyday lives. We create an inspired, collaborative environment, where people can take ownership of their work; push breakthrough ideas; and feel confident that their contributions will be valued and their growth championed.
We're dedicated to doing the right thing for our employees, because we know that their fulfillment and success leads us to great places. Life. Happiness. Innovation. Impact. Advancement. Whatever their pursuit, talented people find their path at Liberty Mutual. | 3.3 | Liberty Mutual Insurance
3.3 | Chicago, IL | Boston, MA | 10000+ employees | 1,912 | Company - Private | Insurance Carriers | Insurance | $10+ billion (USD) | Travelers, Allstate, State Farm | 0 | 0 | 202 | 306 | 254 | Liberty Mutual Insurance
| IL | 0 | 108 | 1 | 0 | 0 | 0 | 0 |
Scientist, Molecular/Cellular Biologist | $49K-$97K (Glassdoor est.) | [1]Scientist, Molecular/Cellular Biologist
About Audentes Therapeutics
Audentes Therapeutics is a leading AAV-based genetic medicines company focused on developing and commercializing innovative products for serious rare neuromuscular diseases. We are leveraging our AAV gene therapy technology platform and proprietary manufacturing expertise to develop programs across three modalities: gene replacement, vectorized exon skipping, and vectorized RNA knockdown. Our product candidates are showing promising therapeutic profiles in clinical and preclinical studies across a range of neuromuscular diseases. Audentes is a focused, experienced, and passionate team driven to improve the lives of patients.
Audentes leverages strong, global relationships with the patient, research, and medical communities, and we take pride in carefully selecting our colleagues. Listed below is a current opening for a smart, driven, experienced, and just plain nice individual who wants to join us on our journey.
The Role
Reporting to the Director, Discovery Biology, Audentes Therapeutics is seeking an innovative and talented scientist with expertise in gene therapy and viral vector to join the Discovery Biology group located in South San Francisco. This position will be a member of a team responsible to characterize and test candidate AAV gene therapy vectors to address indications within the Company's gene therapy pipeline. Additional responsibilities include, providing scientific results that support the generation of publications, patents, or regulatory submissions.
Responsibilities
Plan and execute in vitro experiments to evaluate and characterize candidate AAV gene therapy vectors in primary and/or mammalian muscle cell lines.
Analyze cells by flow cytometry, qPCR, RT-PCR, ddPCR.
Perform and interpret cell-based functional assays.
Collect and evaluate data; prepare reports, summaries and presentations; maintain and update laboratory notebook and the laboratory information management system, as appropriate, according to company policy
Keep up to date with the literature in the field.
Additional duties as assigned.
Required Qualifications
PhD in Molecular Biology, Life Sciences or related field with 2+ years of related experience.
Broad laboratory experience and skills in cell biology techniques and cell-based assays (including transfection, viral transduction, flow cytometry, cell-based assay development, etc)
Proven experience in molecular biology techniques including genomic DNA and RNA isolation, qPCR, ddPCR, RT-PCR, etc.
Demonstrated knowledge and working experience in AAV viral gene therapy and/or pre-clinical research and development.
Designing and performing experiments with minimal supervision, analyze results and interpret the data with strong scientific rigor, present at team meetings and contribute to publication.
Critical thinking, innovative and adept at troubleshooting
Ability to work in teams and collaborate closely with researchers across Audentes and external collaborators.
Demonstrated innovative design and execution of research projects through literature review, and scientific teamwork
Models our Core Values: Be Bold, Care Deeply, #GetStuffDone - is experienced as someone who exemplifies the culture we want to create; operates with transparency; is trusted
Preferred Qualifications
Experience in in vitro models for neuromuscular diseases preferred
Industry experience preferred
All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
[1][1] Title commensurate with experience
(ref. R-201903-JM) | 2.9 | Audentes Therapeutics
2.9 | South San Francisco, CA | San Francisco, CA | 201 to 500 employees | 2,012 | Subsidiary or Business Segment | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | Unknown / Non-Applicable | BioMarin Pharmaceutical, Sangamo Therapeutics, bluebird bio | 0 | 0 | 49 | 97 | 73 | Audentes Therapeutics
| CA | 0 | 8 | 0 | 0 | 0 | 0 | 0 |
Staff Scientist-Downstream Process Development | $49K-$113K (Glassdoor est.) | ABL is seeking a Staff Scientist for the Downstream Process Development team. The candidate will be responsible for planning, development, and optimization, execution of assigned commercial and government client downstream development tasks. Working with external clients, R&D, Quality Control/ Quality Assurance and GMP Manufacturing, the scientist will provide expertise and scientific leadership for design, development, optimization, and production of protein therapeutics and viral vectors. The successful candidate will contribute to the team based execution of projects.
The main responsibilities will include but not limited to follows:
Develop robust, high-yield and scalable purification process (recombinant protein, virus and virus like particles) for Vaccine Development of Phase I/II candidates.
Develop, optimize and scale-up protein purification methods to meet cGMP and Regulatory Compliance using Design of Experiment (DOE) methods.
Lead efforts to evaluate different resins, filters, and analytical methods pertinent to purification development activities.
Perform experiments using AKTA series Chromatography skids, TFF systems, and industry standard Harvest methods scale.
Interacts with other departments involved in GMP manufacturing for planning production, testing and product release in a timely manner resulting in successful completion of projects.
Participate in technology transfer of processes to manufacturing and from external clients, and from process development to manufacturing.
Generate, manage, and maintain critical data in a highly organized manner in the form of notebook, protocol and SOP. Provide progress and developmental reports for assessment by clients.
Develop and draft production batch records for GMP manufacturing, support and troubleshooting GMP production activities.
Perform experiments and deliver results under minimal supervision, and within tight time lines, to a prescribed budget for internal / external client projects.
Job Requirements
This position requires a PhD in a life science discipline (Biochemistry, Analytical Chemistry Protein Chemistry or other related discipline), with 3-5 years of experience in Downstream Process Development, or an MS with 5-10 years’ experience, or a BS degree with more than 10 years of experience.
Experience with cGMP manufacturing under cGMP/cGLP compliance a plus.
Experience with AKTA purification systems.
Computer skills using MS Office (Word, Excel, and Power Point).
Proven leadership skills.
Possess excellent interpersonal skills, both communications and written. Must be able to communicate effectively with all echelons of Management and staff.
Task & Team-oriented, analytical, organized, detail-oriented, self-motivated & ability to multi-task.
Travel Expectation
None
ABL, Inc. participates in E-Verify, an Internet-based system of the Department of Homeland Security (DHS) and Social Security Administration, that allows us to determine an employee's eligibility to work in the United States.
ADDITIONAL INFORMATION:
Candidate must meet all the requirements of our Company Occupational Health program as directed by the Occupational Health Consultant to include pre-employment physical and drug screen.
Candidates are encouraged to submit a resume and a cover letter outlining background and experience as it relates to the position requirements and salary history/requirements. Please note that “negotiable” is neither salary nor requirements. Salary commensurate with experience.
ABL, Inc. does not accept nor respond to unsolicited resumes from vendors, including recruitment agencies and search firms. Approved recruiting agencies must obtain prior approval from ABL, Inc. Human Resources in order to submit resumes to ABL, Inc. for consideration. | 2.7 | Advanced BioScience Laboratories
2.7 | Rockville, MD | Rockville, MD | 201 to 500 employees | 1,961 | Company - Private | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $25 to $50 million (USD) | -1 | 0 | 0 | 49 | 113 | 81 | Advanced BioScience Laboratories
| MD | 1 | 59 | 0 | 0 | 0 | 0 | 1 |
MED TECH/LAB SCIENTIST- SOUTH COASTAL LAB | $21-$34 Per Hour(Glassdoor est.) | Day Shift: 7A-330P. Holidays and every other weekend.
Summary:
Performs, calculates and reports routine and special laboratory tests. Maintains equipment and troubleshoots problems. Evaluates results and quality control data. Serves as a resource and teaches new employees and students. Assists in evaluating new test procedures. The individual in this position must demonstrate knowledge of the principles of growth and development over the life span of the patient. In addition, she/he must possess the ability to assess patient data relative to age specific needs and provide care as described in the department's policies and procedures.
Other information:
Will consider entry level graduates of an approved associate degree program in an appropriate science field and eligibility as medical technologist.Must complete Point of Care Testing training as part of Department Orientation. Able to communicate effectively, pleasantly, cooperatively, and discretely with patients, physicians, hospital employees, and the general public. Able to work under pressure. Willingness to increase knowledge of laboratory/hospital functions. Demonstration of creativity, initiative and problem solving.
Associate Degree in an appropriate science field and medical technologist certification or eligible.
Responsibilities:
Demonstrates technical knowledge and competence in performing expected responsibilities. Ability to perform laboratory skills. Performs and evaluates maintenance systems. Implements corrective action as appropriate. Performs and evaluates quality control data and implements corrective action. Ability to identify issues and processes requiring improvement. Ability to find, organize and use resources to improve outcomes. Monitors and evaluates training progress and makes recommendations for additional training. Assists in maintenance and ordering of supplies. Helps maintain organization and cleanliness of work/storage areas. Demonstrates the ability to function productively and independently, planning and prioritizing times and tasks to complete work assignments. Ability to maintain positive performance under a variety of conditions.
Credentials:
Essential:
ASCP-MEDTECH - MLT OR MT
Competencies and skills:
Essential:
Clear Communication Skills Both Written And Verbal
Able To Keep Confidential Information Regarding Patients, Team Members
Able To Withstand Crisis Situations
Has Skills To Provides Customer Service To Patients, Team Members And Visitors
Knowledge And Experience With Electronic Health Records
Education:
Essential:
Associates Degree in related field
Education specialization:
Essential:
Medical Technology
Location: Millville All Services
Shift : Flexible-hours/shifts may vary depending on department needs
FTE: 0.500000
Work Status: Part Time >32 | 3.6 | Beebe Healthcare
3.6 | Millville, DE | Lewes, DE | 1001 to 5000 employees | 1,935 | Nonprofit Organization | Health Care Services & Hospitals | Health Care | $100 to $500 million (USD) | -1 | 1 | 0 | 21 | 34 | 27.5 | Beebe Healthcare
| DE | 0 | 85 | 0 | 0 | 0 | 0 | 0 |
Scientist - Analytical Services | $65K-$134K (Glassdoor est.) | British American Tobacco
Reynolds American Incorporated is positively transforming the tobacco industry. We’re a family of companies that strives for success in everything we do. The future inspires us because our people are igniting the breakthroughs that are redefining the ways adult tobacco consumers enjoy tobacco in the 21st century.
When other companies talk about growth, they only talk about size. At Reynolds American, we focus on the growth of our people. We take pride in each other’s growth and well-being throughout our careers. We invest in your career and total well-being because we know our companies succeed when our people thrive.
ABOUT OUR ORGANIZATION:
Reynolds American Inc. is an indirect, wholly owned subsidiary of British American Tobacco p.l.c., and the U.S. parent company of R. J. Reynolds Tobacco Company; Santa Fe Natural Tobacco Company, Inc.; American Snuff Company, LLC; Niconovum USA, Inc.; Niconovum AB; R. J. Reynolds Vapor Company; Lorillard Licensing Company, LLC; and Reynolds Brands, Inc.. This position is with R.J. Reynolds Tobacco Company (2004).
Here, you’ll have the opportunity to work on iconic brands and revolutionary products by collaborating with visionary, principled and passionate people every day.
POSITION DESCRIPTION
This position will be responsible for coordinating and reporting analyses related to vapor products, also known as e-cigarettes. In this role, the Scientist will work with many areas of the business to understand the needs of relevant stakeholders to ensure the analytical needs of projects are carried out.
This position will report to a Senior Manager in RJRT Analytical Support and will work with others on this team to drive continuous improvement to facilitate analytical and stability testing as well as R&D and MFG support testing.
Accountabilities/Principal Duties and Responsibilities:
Responsible for technical assignments as defined by business needs.
Utilize technical principles and theories, ingenuity, and creativity to assist, develop, and/or recommend solutions to complex problems.
Partner/collaborate with various stakeholder groups (e.g., Product Development, Product Integrity, Product Services, Scientific & Regulatory Affairs and Manufacturing Operations).
Evaluate, select, and apply techniques, procedures, and criteria using good judgment in making adaptations and modifications to achieve objectives.
Lead assignments that have clear and specified objectives and require the investigation of a limited number of variables. Assistance will be provided on unusual problems from senior technical staff and work will be reviewed for application of sound professional judgment.
Lead or coordinate the work of others.
Identify and develop expertise in areas that can be utilized internally for development of processes for improved laboratory throughput.
Identify and partner with external suppliers, vendors, and analytical service providers to achieve predefined business needs.
Provide technical product support during the start-up and qualification of new equipment, processes, vendors, and suppliers.
Drive continuous process improvement through the ability to recognize unnecessary complexities and process gaps, and proactively drive implementation of strategies to execute effective solutions
POSITION QUALIFICATIONS:
Education:
Bachelor Degree required (advanced degree preferred) - desired discipline includes a science background (i.e., chemistry, physics, engineering) or other technical specialty, technical writing & communication, plus a minimum of 5 years of relevant experience.
Required Skills:
Proficient in Microsoft Office applications and ability to learn application specific software
Excellent project management, time management, team collaboration, and organizational skills
Ability to engage with internal stakeholders as well as external partners
Ability to actively participate in a Team-based environment and collaboratively work in cross functional teams
Ability to quickly develop credibility and begin influencing within an organization
Ability to work and thrive in an environment subject to change, ability to quickly adapt to change
Excellent people and communication skills
Relevant Experience and Preferred Skills:
Experience in a regulated environment (FDA, MHRA, etc.)
Quality System experience with ISO, GMP, GLP
Proven knowledge of statistical methods for data reporting and analysis
Lab instrumentation and Data acquisition software experience
The Ideal Candidate will possess:
Ability to work and make decisions with minimal supervision
Ability to develop and drive key strategies
Effective oral and written communication skills
Demonstrated interpersonal skills of dependability and credibility
Effectively communicate with peers and management
Broad Analytical Chemistry expertise
Ability to drive collaborative efforts cross-functionally
Compensation/Targeted Bonus
Competitive Annual Salary
Targeted Annual Bonus
Relocation assistance available for those who qualify.
Benefit Summary
Our company offers very competitive benefit plans, including:
401(k) plan that offers opportunity to save on pre- and post-tax basis up to 50 percent of eligible compensation. Company matches 100 percent of employee pre-tax/Roth (401k) contributions up to six percent
Comprehensive health- and welfare-benefits package
Eleven paid company holidays annually, plus a generous paid vacation plan based on length of service
Company-paid sick and personal days, funeral leave and jury duty leave
Confidential personal financial counseling service
On-site health clinics and fitness centers
A matching grants program that enables employees to direct and double their donations to qualifying charitable organizations of their choice
Health-care advocacy service
Volunteer service opportunities
Federal credit union membership through Allegacy Federal Credit Union
Extensive training opportunities
Reynolds American Inc. and its affiliated companies is an Equal Opportunity / Affirmative Action Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
Our organization offers a level of challenge, responsibility and creativity for motivated employees that stands apart from the crowd.
We are also committed to employing a diverse workforce and valuing different perspectives, experiences and talents to maximize the company's potential for successfully achieving its business objectives.
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Only applicants requiring reasonable accommodation for any part of the application and hiring process should contact us directly via email at TalentAcquisition@RJRT.com.
California Privacy Notice
Nearest Major Market: Salem
Nearest Secondary Market: Winston
Job Segment:
Chemistry, Analytics, Scientific, Engineer, Scientist, Science, Management, Engineering | 3.1 | Reynolds American
3.1 | Winston-Salem, NC | Winston-Salem, NC | 5001 to 10000 employees | 1,875 | Company - Private | Consumer Products Manufacturing | Manufacturing | $10+ billion (USD) | -1 | 0 | 0 | 65 | 134 | 99.5 | Reynolds American
| NC | 1 | 145 | 0 | 0 | 0 | 0 | 1 |
Associate Data Analyst- Graduate Development Program | $32K-$59K (Glassdoor est.) | Overview
National Interstate is a member of Great American Insurance Group. As one of the leading commercial transportation insurers in the nation, we offer risk financing solutions in all 50 states tailored to meet the needs of a wide variety of transportation classes. Our offerings include traditional insurance and innovative alternative risk transfer (ART) programs, including more than a dozen group captive programs catering to niche wheels markets. We are proud to be a multiple Northcoast 99 winner and Cleveland Plain Dealer Top Workplace in Northeast Ohio. It is because of our talented and dedicated team that we are able to live out our company values of integrity, transparency, fairness, accountability, empowerment and collaboration with each transaction we make. If you are ready to join an engaging and driven team such as ours, we would love to hear from you!
Responsibilities
Prepares basic financial and business related analysis and reporting. Defines business and legal reporting requirements through research, interpretation of regulations, and business unit requests to meet customer needs.
Learns to effectively utilize reporting procedures that designate the use of check lists, submission logs, data transmissions and data receipt confirmations.
Learns to collect and analyze data for validity and accuracy in preparation of assigned reports.
Learns to develop and maintain department databases and assesses quality of data used in routine reports.
Beginning to develop knowledge of data sources content and structure to assess the quality of data.
May begin to identify and make recommendations for resolution of identified issues in data and reporting quality.
Utilizes department / company software to prepare basic data queries.
Beginning to develop understanding of industry products/coverages and applies that knowledge to support business activity.
Performs other duties as assigned.
The Ignition program at National Interstate is an exciting way for college graduates to enter the workforce and not only become experts in their field, but truly understand the business that they work for!
You will:
Spend 5 weeks in intense classroom and on-the-job training
Gain a deep understanding of our business model and value proposition
Get exposed to other areas of the business outside of your discipline
Shadow corporate meetings and gain a broad understanding of our place in the market
Have access to senior management throughout the program
Qualifications
Education: Bachelor’s Degree or equivalent experience.Field of Study: Actuarial Science, Mathematics, Statistics or a related disciplineExperience: 0 - 2 years of related experience.
Physical Requirements• Requires prolonged sitting.• Requires continuous use of computer.• May lift, carry, push, or pull objects up to 10 lbs.• Requires regular and predictable attendance. | 3.3 | National Interstate
3.3 | Richfield, OH | Richfield, OH | 501 to 1000 employees | 1,989 | Company - Private | Insurance Carriers | Insurance | $500 million to $1 billion (USD) | -1 | 0 | 0 | 32 | 59 | 45.5 | National Interstate
| OH | 1 | 31 | 0 | 0 | 0 | 0 | 0 |
Sr. Data Engineer | $87K-$158K (Glassdoor est.) | Join our team of Data Consultants and work on dynamic long-term projects. The majority of our team members are long-term employees who enjoy consistent work and a collaborative team approach!
Background in computer science and comfortable in programming in a variety of languages, including Java, Python, Scala;
Determining the appropriate software packages or modules to run, and how easily they can be modified;
Handling large scale structured and unstructured data from internal and third-party sources;
Architecting highly scalable distributed data pipelines using open source tools and big data technologies such as Hadoop, Pig, Hive, Presto, Spark, Drill, Sqoop and ETL frameworks;
Utilizing Linux shell scripting and containerization technologies (Docker, Kubernetes); and,
Leading teams in a dynamic work environment while managing stakeholder expectations and scope.
Requirements
Bachelor's degree, preferably in technology related disciplines.
Cloud computing platforms such as Azure, AWS, and GCP;
Relational databases and writing SQL queries, evaluating their performance
Strong experience with data processing software in Azure, AWS and GCP
Or Big data machine learning toolkits such as SparkML, messaging systems (Kafka) and NoSQL databases (Cassandra, HBase, MongoDB) desirable
Building data lakes and data pipelines that adhere to our engineering philosophy
Benefits
For more than 20 years, Moser Consulting has been the go-to source for exceptional IT talent with the ability to self-manage. At Moser Consulting, our people are our #1 asset. We hire the best people, welcome them like family, connect them with opportunities, and let them do what they do best: produce innovative solutions to technology problems.
Our culture gives us a competitive advantage by keeping our employees happy, healthy, and by lowering stress levels in a very demanding industry. It is no accident that we are recognized as one of the Best Places to Work in Indiana. We focus on giving employees: an incredible work space; a fun, collaborative, and creative atmosphere; an extremely generous compensation package; and dozens of outstanding and unique perks usually not found at one company.
Equal Opportunity Employer–minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity. | 4.5 | Moser Consulting
4.5 | Indianapolis, IN | Indianapolis, IN | 51 to 200 employees | 1,996 | Company - Private | Consulting | Business Services | $25 to $50 million (USD) | -1 | 0 | 0 | 87 | 158 | 122.5 | Moser Consulting
| IN | 1 | 24 | 1 | 0 | 1 | 1 | 0 |
Senior Insurance Data Scientist | $107K-$173K (Glassdoor est.) | What We'll Bring:
At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation. We are consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius.
Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.
What You'll Bring:
A graduate degree in a STEM field with advanced coursework in statistics and machine learning
7+ years of professional analytical modeling experience, solving problems relevant to the problems we solve at TransUnion
Expert proficiency with one or more statistical programming languages such as R or SAS
Strong written and verbal communication skills: ability to clearly articulate ideas to both technical and non-technical audiences, strong presentation skills with comfort presenting to executive audiences
Strong time and project management skills with the ability to oversee and manage project teams to meet project deliverables inclusive of delegating work, setting clear goals, providing coaching and feedback, and managing customer expectations
Direct and effective experience managing junior analytical professionals preferred
Ability to travel periodically to client sites
We’d Love to See:
Experience in the Insurance industry especially in Claims
Emblem experience is a plus
Additional experience writing intermediate SQL queries for data extraction preferred
Impact You'll Make:
You’ll functions as an insurance analytics expert on meetings with clients and partner companies. You’ll actively contribute to insurance analytics strategy by contributing ideas, preparing presentation/sales material for customers, and product design/business case materials for TransUnion leadership.
You’ll provide mentorship and training to junior colleagues and maintain progress on all initiatives under minimal direct supervision. You’ll foster a high performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.
You’ll partner with internal and external cross-functional teams to drive new business initiatives and deliver long term value-added product propositions for business customers in the US and international insurance segments at TransUnion. This includes but is not limited to the development of predictive models and business intelligence solutions for insurance carriers.
Independently leads data analysis and modeling projects from project/sample design, business review meetings with internal and external clients deriving requirements/deliverables, reception and processing of data, performing analyses and modeling to final reports/presentations, communication of results and sales support.
Leads the group responsible for insurance underwriting, application fraud and other point-of-quote/bind solutions for auto and property lines. Explores internal and external data to create innovative new products to be implemented at a variety of insurance carriers.
Utilizes advanced statistical and machine learning techniques to create high-performing predictive models and creative analyses to address business objectives and client needs.
Actively contributes to insurance analytics strategy by contributing ideas, preparing presentation/sales material for customers, and product design/business case materials for TransUnion leadership.
Follows industry trends in insurance and related data/analytics businesses. Contributes ideas and actively participates in the investigation and research of new processes, resources and technologies that can potentially be implemented to provide improved customer solutions or to broaden TransUnion's analytic consulting and related services capabilities.
Design and lead initiatives involving descriptive, predictive, and prescriptive analysis leveraging a variety of techniques (such as segmentation, logistic regression, survival analysis, principal component analysis, and machine learning); this will involve delegating tasks to other team members and managing the team to meet deliverables on time.
Dig in by extracting data and performing segmentation and statistical analyses on large population datasets (using languages such as R, SAS, SQL, and Python)
Deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers at various levels including an executive audience; may lead key presentations to clients
Help to cultivate an environment that promotes excellence, innovation, and a collegial spirit
Serve as a subject matter expert on the team and act as a mentor to more junior team members; may directly manage a small team of Analysts
Serve as an advisor and partner to the senior management team: proactively seek out opportunities for innovation and present new ideas and solutions on behalf of the team
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.
TransUnion's Internal Job Title:
Sr Consultant, Data Science and Analytics | 3.9 | TransUnion
3.9 | Chicago, IL | Chicago, IL | 5001 to 10000 employees | 1,968 | Company - Public | Financial Analytics & Research | Finance | $1 to $2 billion (USD) | -1 | 0 | 0 | 107 | 173 | 140 | TransUnion
| IL | 1 | 52 | 1 | 0 | 0 | 0 | 1 |
Senior Data Science Systems Engineer | $56K-$99K (Glassdoor est.) | MITRE’s Army Concepts, Platforms and Theater Operations
Department (P622) is seeking a highly motivated systems engineer having the
skills and education to define and produce architecturally significant products
to support the application of complex analytic designs based on mission
requirements and the strategic direction of the sponsor; provide thought leadership in the areas of
hybrid architectures that apply innovative algorithmic design and support
machine-driven predictive analysis; techniques for reuse of analytics across
multiple domains and data types; ensure that system design and architecture
meet quality, scalability, agility, and extensibility requirements; work
hands-on individually and with co-workers and/or sponsors to define prototype
design requirements.
The successful candidate will apply M&S techniques to
explore multi-domain effects of blue forces against red forces using the
current MDO Concept dated Dec 2018.
MITRE will apply the MDO Analytical Framework (MDAF) developed in FY19
to integrate concept data into M&S tools and that enable the sponsor to
dynamically visualize red and blue threat capabilities based on scenario
geometry and geography, measure performance of capabilities and S&T
enablers during execution, and evaluate convergence by comparing combinations
of capabilities and layered options.
MITRE will provide quantitative support to experiment with new
operational concepts, evaluate force posture options, adjust C2 data flows, and
develop employment concepts for new S&T enablers. This role will work with a team of diverse
engineers in the delivery of highly impactful products to the sponsor,
interface and develop relationships with the sponsor in order to understand
their needs and be able to make recommendations to work leaders for shaping
future tasks.
Required Qualifications:
BS in Systems Engineering, Computer Science, Data Science
or other relevant technical field
Five or more years of relevant experience.
Documented success in defining work programs greater than
themselves / a technical thought leader
Understand the breadth of Army operations across the Joint
domains
Ability to understand technologies and technical
architectures in terms of overall business/operational goals, not just
technical advancements
Ability to present at senior government levels in a
balanced technical value to mission set of perspectives including adjusting
during a briefing on the fly to the context
Possess the communication and analytical skills needed to
collaborate broadly with industry partners and within MITRE in order to
proactively identify gap-filling capabilities and opportunities and to
recommend relevant commercial architectures, systems, and technologies
Possess an active secret clearance with the ability to obtain a top secret clearance
Desired Qualifications:
MS or PhD in Systems Engineering, Computer Science, Data
Science, or related technical field
Preference given to qualified candidates holding an active Top Secret DoD clearance
Ability to engage and interact effectively with senior
government executives, program managers, and contractors
Knowledgeable about DoD process, tools (e.g.,Magic Draw,
Visio) and DoDAF
Experience with modeling and simulation | 3.2 | MITRE
3.2 | Hampton, VA | Bedford, MA | 5001 to 10000 employees | 1,958 | Nonprofit Organization | Federal Agencies | Government | $1 to $2 billion (USD) | Battelle, General Atomics, SAIC | 0 | 0 | 56 | 99 | 77.5 | MITRE
| VA | 0 | 62 | 0 | 0 | 0 | 0 | 0 |
ENVIRONMENTAL ENGINEER/SCIENTIST | Employer Provided Salary:$25-$28 Per Hour | McPhail Associates, LLC is a geotechnical and geoenvironmental engineering consulting firm located in Cambridge, Massachusetts within walking distance of Davis Square. We are currently seeking an entry to mid-level environmental engineer/scientist. The successful candidate will work with a dedicated team of geotechnical and geoenvironmental engineers, geologists and scientists on projects involving environmental due diligence, environmental regulatory compliance, subsurface explorations, and the assessment and remediation of soil and groundwater impacted by oil and hazardous materials. McPhail Associates offers a robust benefits package and opportunity for advancement.
Responsibilities:
Preparation of ASTM Phase I and II Environmental Site Assessments.
Preparation of dewatering permit applications.
Preparation of state and federal regulatory compliance reports.
Preparation of chemical testing data tables.
Preparation of soil disposal pre-characterization reports and soil disposal facility profiles.
Planning and executing subsurface explorations.
Sampling of soil, groundwater, soil gas, and indoor air.
Occasional field monitoring of subsurface explorations, storage tank removals, and environmental remediation.
Interact and communicate with staff, clients and subcontractors.
Qualifications:
Bachelor’s degree in Environmental Science, Civil Engineering or related field.
3-5 years experience preparing ASTM Phase I and II Environmental Site Assessments and MCP submittals.
Strong technical writing and excellent verbal communication skills.
Current 10-hour OSHA Construction Industry Training or 40-hour HAZWOPER training is preferred.
Knowledge of the Massachusetts Contingency Plan (MCP) is preferred.
Computer Skills - Microsoft Office and Bluebeam Revu
Please send resume to McPhail Associates, LLC c/o careers@mcphailgeo.com | 3.3 | Mcphail Associates
3.3 | Cambridge, MA | Cambridge, MA | 1 to 50 employees | 1,976 | Company - Private | Construction | Construction, Repair & Maintenance | Unknown / Non-Applicable | -1 | 1 | 1 | 25 | 28 | 26.5 | Mcphail Associates
| MA | 1 | 44 | 0 | 0 | 0 | 0 | 1 |
Senior Scientist - Regulatory Submissions | $80K-$155K (Glassdoor est.) | British American Tobacco
Reynolds American Incorporated is positively transforming the tobacco industry. We’re a family of companies that strives for success in everything we do. The future inspires us because our people are igniting the breakthroughs that are redefining the ways adult tobacco consumers enjoy tobacco in the 21st century.
When other companies talk about growth, they only talk about size. At Reynolds American, we focus on the growth of our people. We take pride in each other’s growth and well-being throughout our careers. We invest in your career and total well-being because we know our companies succeed when our people thrive.
ABOUT OUR ORGANIZATION:
Reynolds American Inc. is an indirect, wholly owned subsidiary of British American Tobacco p.l.c., and the U.S. parent company of R. J. Reynolds Tobacco Company; Santa Fe Natural Tobacco Company, Inc.; American Snuff Company, LLC; Niconovum USA, Inc.; Niconovum AB; R. J. Reynolds Vapor Company; Lorillard Licensing Company, LLC; and Reynolds Brands, Inc.. This position is with RAI Services Company (2200).
Here, you’ll have the opportunity to work on iconic brands and revolutionary products by collaborating with visionary, principled and passionate people every day.
Job Summary:
Senior Scientist - Regulatory Submissions supports enterprise-wide regulatory strategies and advocacy efforts, particularly as they relate to regulatory product clearance by FDA. Through strong leadership and technical expertise, this position supports Scientific & Regulatory Affairs by assisting, developing and/or leading projects and programs aligned with scientific and operational strategies for current and future smokeless tobacco products.
Principal Duties and Responsibilities:
Lead the development and refinement of tobacco product applications to be submitted to regulatory agencies (i.e., FDA)
Serve as a technical writer, and contribute scientific and regulatory expertise in leading the development and assembly of regulatory submissions, amendments, and correspondence
Prepare data/information to support regulatory submissions, amendments, and correspondence
Contribute expertise in driving primarily Substantial Equivalence (SE) and Exemption from Substantial Equivalence (EXR) submissions, but opportunities will be available to contribute across multiple regulatory pathways, including Pre-Market Tobacco Product Applications (PMTA), Investigational Tobacco Product (ITP) applications, and Tobacco Product Master Files (TPMF)
Establish relationships and partner with both internal and external stakeholders across a broad set of disciplines and contexts (e.g., Law and External Affairs, Product Integrity, Product Development, Consumer Marketing, Product Services, Manufacturing Operations)
Provide support for product and process-related regulatory strategies and advocacy efforts, associated regulatory applications, and engagement for new product introductions
Assist the Senior Director of Scientific & Regulatory Affairs in developing, refining, and ultimately driving tactical plans in support of product-related regulatory strategy and objectives
Qualifications:
Education
Postgraduate degree in chemistry preferred; four-year degree in chemistry, biological sciences, engineering, or other technical discipline required; other fields (e.g., technical writing or communications) will be considered.
Candidates not meeting the specific degree requirements stated above will be considered if they have 7 years of direct experience in tobacco product development and/or preparation of pre-market clearance submissions to regulatory agencies.
Experience
3-5 years of relevant work experience preferred
Demonstrated expertise in one or more areas of tobacco-related science or regulatory affairs
Required Skills:
Demonstrated capacity to quickly accumulate and apply broad, cross-functional business knowledge
Ability to conceive, plan and conduct work streams aligned with, and in support of, strategy
Strong business and/or technical writing skills and attention to detail
Demonstrated ability to manage and execute multiple projects often under heightened time constraints
Ability to apply critical thinking and problem-solving skills
Demonstrated ability to work both independently and as part of a team
Excellent verbal and written communication and presentation skills
Preferred Skills:
Basic understanding of the tobacco category and FDA regulatory requirements for tobacco products
Demonstrated technical writing ability
Self-motivated and works with a sense of urgency; orientation to creativity, innovation, and action
Ability to anticipate emerging issues and formulate solutions in a complex multi-functional environment
Ability to successfully navigate a work environment with evolving priorities
Demonstrated ability in engaging, influencing, and collaborating with internal and external resources to meet regulatory and business objectives
Excellent organizational skills with the ability to manage multiple projects reflecting various timeframes simultaneously
Ability to apply and balance strategic and tactical thinking
Compensation/Targeted Bonus
Competitive Annual Salary
Targeted Annual Bonus
Relocation assistance available for those who qualify.
Benefit Summary
Our company offers very competitive benefit plans, including:
401(k) plan that offers opportunity to save on pre- and post-tax basis up to 50 percent of eligible compensation. Company matches 100 percent of employee pre-tax/Roth (401k) contributions up to six percent
Comprehensive health- and welfare-benefits package
Eleven paid company holidays annually, plus a generous paid vacation plan based on length of service
Company-paid sick and personal days, funeral leave and jury duty leave
Confidential personal financial counseling service
On-site health clinics and fitness centers
A matching grants program that enables employees to direct and double their donations to qualifying charitable organizations of their choice
Health-care advocacy service
Volunteer service opportunities
Federal credit union membership through Allegacy Federal Credit Union
Extensive training opportunities
Reynolds American Inc. and its affiliated companies is an Equal Opportunity / Affirmative Action Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
Our organization offers a level of challenge, responsibility and creativity for motivated employees that stands apart from the crowd.
We are also committed to employing a diverse workforce and valuing different perspectives, experiences and talents to maximize the company's potential for successfully achieving its business objectives.
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Only applicants requiring reasonable accommodation for any part of the application and hiring process should contact us directly via email at TalentAcquisition@RJRT.com.
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Nearest Major Market: Salem
Nearest Secondary Market: Winston
Job Segment:
Regulatory Affairs, Chemistry, Scientific, Engineer, Scientist, Legal, Science, Engineering | 3.1 | Reynolds American
3.1 | Winston-Salem, NC | Winston-Salem, NC | 5001 to 10000 employees | 1,875 | Company - Private | Consumer Products Manufacturing | Manufacturing | $10+ billion (USD) | -1 | 0 | 0 | 80 | 155 | 117.5 | Reynolds American
| NC | 1 | 145 | 0 | 0 | 0 | 0 | 1 |
Scientist - Biomarker and Flow Cytometry | $43K-$98K (Glassdoor est.) | Crown Bioscience, a JSR Life Sciences company, is seeking a highly motivated and skilled PhD level scientist with strong immunology, molecular biology, cancer biology, biomarker, immunohistochemistry, histopathology and related fields experience. This position is a hands-on scientific position, involving study (experimental) design, performance, data analysis, and reporting, with particular emphasis in flow related studies. Must have a broad expertise and hands-on experience in Tumor immunology and related technology platforms. As part of Global Biomarker Team (BDT), will directly report to the head of global immunophenotyping, including all issues related to the division’s business functions and science/technology affairs.
We are located in beautiful state-of-the-art Rancho Bernardo location and offer full benefits including medical, dental, vision, life, LTD, paid holidays, a 401(k) retirement savings program with company match, free gym access, paid sick and paid vacation. Our employees also enjoy free catered lunch every day.
PRIMARY RESPONSIBILITIES
Will function as a local SD (study director) to be primarily responsible for local immunophenotyping projects: communication with client, design and execute studies of both external and internal
Design and perform multicolor flow cytometry for preclinical projects and capable of experimental design, protocol development and data report writing, while trouble shooting and capable of critical data analysis
Will lead and supervise a small local technical team to execute multiple tasks independently including
trouble shorting and problem solving, training
Will work/communicate closely with the other teams onsite together to conduct studies and achieve project goals
Will follow the site management rule and process
SOP writing, reviewing and implementing
As part of the global immunologist team member under BDT, will participate in communicating with BDs, clients and marketing on immunophenotyping related affairs
Will actively participate in communication with global BDT team and collaborate to achieve our global
Follow the global BDT rule and processes
Will be obligated to participate in required professional trainings
Contribute to projects with scientific discipline through research
Analyze data and interpret results for immunophenotyping and biomarker research
Prepare accurate samples, technical reports, summaries, protocols and quantitative analyses in a timely manner
Adherence to Quality System
Perform general lab duties to support the activities of the lab
Other duties as assigned
EDUCATION, KNOWLEDGE, AND EXPERIENCE REQUIREMENTS
PhD level scientist with strong immunology and oncology, or related fields, experience or master with 3+ years of experience in related field
Management or experience supervising a small team
Ability to troubleshoot effectively and solve scientific problems with little to no supervision
Experience working within a Quality System with oversight by QA and other regulatory bodies
Exceptional organizational and time-management skills
Crown Bioscience is proud to be an Equal Opportunity and Affirmative Action Employer. We value diversity and are committed to providing employees a work environment free from harassment and discrimination. All employment decisions at Crown Bioscience are based solely on business need, qualifications, and merit. | 2.4 | Crown Bioscience
2.4 | San Diego, CA | San Diego, CA | 501 to 1000 employees | 2,006 | Company - Private | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $50 to $100 million (USD) | -1 | 0 | 0 | 43 | 98 | 70.5 | Crown Bioscience
| CA | 1 | 14 | 0 | 0 | 0 | 0 | 0 |
Revenue Analytics Manager | $45K-$78K (Glassdoor est.) | HOVER uses patented technology making it possible for anyone with a smartphone camera to create an interactive 3D model, complete with detailed measurements and powerful design features. The data produced is extremely valuable as it generates a single source of truth for the physical world allowing for more veracity throughout the home improvement and insurance processes. We've found an incredibly strong product-market fit across exterior home improvement, insurance, and financial services. What's the secret sauce? Computer vision and an exceptional culture.
With our team of investors, including Google Ventures and Menlo Ventures, HOVER is committed to continuing our success and facilitating growth. We believe there is strength in diversity so we hire skilled and passionate people from a wide variety of backgrounds.
Why HOVER wants you:
As a Revenue Analytics Manager, you will help define our rapid Go-To-Market expansion with insight and recommendations. Your analysis and guidance will not only help us better understand our business today, but also where it needs to be in the future and how we'll get there. You'll be the primary owner of all Go-To-Market analysis, driving work related to reps activities, customer engagements, financials, and everything else under the sun that is sales and revenue related.
As a curious and creative thinker, you'll be constantly looking for ways to drive impact through our data. You're someone with a strong sense of ownership who doesn't just want to run some numbers and hand over some fancy graphs to leadership, but rather you're truly interested in understanding our Go-To-Market better than anyone in the company, uncovering the deep insights that determine our strategy, and telling compelling stories with data that actually drive action and impact. You're comfortable figuring things out on-the-fly and sense-checking what you're hearing with back-of-the-envelope math, and you're always interested in playing devil's advocate to iterate towards better insight.
You will contribute by:
Core Analysis (⅓): Own our regular analysis and reporting of GTM progress and performance. Help us better understand our business in an actionable manner, week over week, month over month, year over year.
Special Projects (⅓): Drive long-term, deep-dive projects that open new opportunities for growth. Examples include new territory/customer segmentation methods, customer data enrichment, customer product adoption and impact, advanced forecasting methods, pricing analysis, compensation plan changes, etc.
Cross-Functional Partnership (⅓): Collaborate with other teams ad-hoc to drive forward company-wide initiatives, especially working with Product, Finance, and Marketing
Your background includes:
5+ years of progressive experience in Analytics, Sales Strategy/Operations, Management Consulting, and/or Business Operations roles
Proficiency with Tableau
Proficiency with Excel
A knack for telling stories with data, often through visualizations and slide decks
Comfort working with senior leadership on a weekly basis
Experience with SQL is a plus
Experience in a rapidly growing startup is a plus
Benefits
Compensation - Competitive salary and meaningful equity in a fast-growing company
Healthcare - Comprehensive medical, dental, and vision coverage for you and dependents
Paid Time Off - Unlimited and flexible vacation policy
Paid Maternity/Paternity Leave - We support work/life balance and offer generous paid parental and new child bonding leave
Learning - We encourage continued education and will help cover the cost of conferences, workshops, or certifications
Transportation - Pre-tax commuter benefits and free parking | 4.8 | HOVER
4.8 | San Francisco, CA | San Francisco, CA | 51 to 200 employees | 2,011 | Company - Private | Computer Hardware & Software | Information Technology | $25 to $50 million (USD) | -1 | 0 | 0 | 45 | 78 | 61.5 | HOVER
| CA | 1 | 9 | 0 | 0 | 0 | 0 | 1 |
Associate Scientist, LC/MS Biologics | $44K-$96K (Glassdoor est.) | Q2 Solutions is a leading clinical trial laboratory services organization with end-to-end laboratory services and secure, enterprise-wide biospecimen and consent management solutions. With a relentless focus on quality and innovation, Q2 Solutions uses its global experience and scientific expertise to transform science and data into actionable medical insights that help customers improve human health. A joint venture of IQVIA (formerly QuintilesIMS) and Quest Diagnostics, Q2 Solutions combines the best of each parent organization’s clinical trials laboratory services capabilities to fulfill its mission of treating each sample as if a life depends on it.
PURPOSE
This scientific position builds on past experience, skills and personal attributes of an accomplished bioanalytical scientist. The position involves applying analytical skills to assist in the development and implementation of profit-generating biomarker and biotherapeutic assays.
RESPONSIBILITIES
Work under the direction of a Director or other higher-level scientific personnel to validate and apply new bioanalytical approaches pertaining specifically to LC/MS biomarker and biotherapeutic assays
Uphold all safety standards, discipline guidelines and regulatory compliance requirements
Maintain accurate documentation during study lifetime and archive material promptly following completion
Participate in method development, method validation, and sample analysis
Perform liquid-liquid, protein precipitation, and solid-phase extractions
Work with automated extraction instrumentation
Interface with Laboratory Operations to request and return study samples
Prepare stock and working solutions/standards and QC samples. Aliquots control matrices
Weigh reference compounds if respirator-certified
Make and record observations, performs calculations, and collects and prepares data for evaluation
Document all project work according to Q2 and GLP processes and procedures
Perform pipette maintenance and calibration verification. Assists with trouble-shooting laboratory instrumentation and other maintenance as required
Work with team members to manage assigned projects to establish priorities, set schedules, and monitor progress to ensure that projects are progressing satisfactorily
Maintain method development documentation in accordance with departmental procedures
Strengthen knowledge in chromatographic and mass spectrometric techniques
Establish Q2 Bioanalytical Labs as a preferred outsource provider of LCMS Biologics services
Contribute scientifically to method development
Maintain lab equipment, supports lab safety, and comply with Good Laboratory Practice (GLP) requirements
May coordinate application of validated methods to LCMS Biologics sample analysis
May communicate with clients regarding progress on scientific and operational objectives
May use LIMS system to schedule samples, set up and edit work lists and manage bioanalytical data
May assist with the application of validated methods to routine sample analysis and to direct studies from clients from method development through validation and sample analysis
May review run binders and notebooks and other project-related documentation at the direction of the Project Leader (includes validation reports)
REQUIRED KNOWLEDGE, SKILLS AND ABILITIES
Highly experienced in all routine laboratory procedures
Understanding of wet-laboratory sample extraction
Ability to maintain clear and efficient method development documentation
Ability to follow verbally communicated or draft procedures
Understanding of development/validation methodology
Excellent attention to detail and communication skills
Ability to interact with clients, and work to objectives and timelines
Ability to establish and maintain effective working relationships with coworkers, managers and clients
MINIMUM REQUIRED EDUCATION AND EXPERIENCE
High School diploma and 5 years’ relevant lab experience; or Bachelor’s Degree in Chemistry or a related field; or equivalent combination of education, training and experience in GLP laboratory environment.
PHYSICAL REQUIREMENTS
Long periods of mental concentration
Extensive use of pipetting requiring repetitive motion of upper body, arms, hands and fingers
Regular sitting and standing for extended periods of time
IQVIA is an EEO Employer - Minorities/Females/Protected Veterans/Disabled
IQVIA, Inc. provides reasonable accommodations for applicants with disabilities. Applicants who require reasonable accommodation to submit an application for employment or otherwise participate in the application process should contact IQVIA’s Talent Acquisition team at workday_recruiting@iqvia.com to arrange for such an accommodation.
Apply Now! | 2.9 | Q2 Solutions
2.9 | Ithaca, NY | Morrisville, NC | 1001 to 5000 employees | 2,015 | Company - Private | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | Unknown / Non-Applicable | -1 | 0 | 0 | 44 | 96 | 70 | Q2 Solutions
| NY | 0 | 5 | 0 | 0 | 0 | 0 | 1 |
Sr. Scientist Method Development | $50K-$110K (Glassdoor est.) | Q2 Solutions is a leading clinical trial laboratory services organization with end-to-end laboratory services and secure, enterprise-wide biospecimen and consent management solutions. With a relentless focus on quality and innovation, Q2 Solutions uses its global experience and scientific expertise to transform science and data into actionable medical insights that help customers improve human health. A joint venture of IQVIA (formerly QuintilesIMS) and Quest Diagnostics, Q2 Solutions combines the best of each parent organization’s clinical trials laboratory services capabilities to fulfill its mission of treating each sample as if a life depends on it.
This Immunoanalytical Scientist builds on past experience, skills and personal attributes of an accomplished bioanalytical scientist, and requires the ability to act independently with little or no guidance. The position involves applying analytical skills to assist in the development and implementation of profit-generating biomarker assays. An advanced understanding of nano-flow chromatography and modern quadrupole or time-of-flight mass spectrometry instrumentation, development/validation of methodology, biological sample preparation, interpreting of data, interacting with clients, and working to objectives/timelines are integral to this position.
Responsibilities
Work under the general guidance of a Scientific Director to develop and
validate new bioanalytical approaches pertaining specifically to biomarker and biotherapeutic assays for disease mechanism investigations and support of drug development studies
Work with key clients to implement this service in accordance with their expectations
Develop methods including sample preparation, chromatography and mass spectrometry approaches for the detection and quantitation of identified biomarker compounds
Validate associated methodologies to a fit-for-purpose extent
Coordinate application of validated methods to sample analysis
Communicate with clients regarding progress on scientific and operational objectives
Work with management to set work plans, goals and metrics to build this service
Prepare and presents project data and supporting information. Contributes to and reviews technical reports
Attends scientific meetings and client visits to promote Q2 Solutions LCMS Biologics business
Train less experienced scientific co-workers, when necessary, to support growth of LCMS Biologics service
Validate methods to regulatory (GLP) standards
Oversee the application of the validated methods to routine sample analysis
Oversee daily management of intra- and inter-organizational relationships to ensure timely completion of projects in accordance with customer specification
Provide frequent communication of project status with clients
Prepare and make external presentations of Q2 Solutions LCMS Biologics capabilities to clients and prospective clients
Apply analytical skills to assist in the development and implementation of profit-generating assays.
Comply with all applicable regulatory standards, including Good Clinical and Good Laboratory Practices.
Knowledge, Skills and Abilities
Understanding of chromatography and mass spectrometry instrumentation
Understanding of all routine laboratory procedures
Understanding of development/validation of methodology
Understanding of wet-laboratory sample extraction
Ability to interact with clients, and work to objectives/timelines
Excellent attention to detail and communication skills
Ability to maintain clear and efficient method development documentation
Ability to provide verbally communicated or draft procedures
Advanced understanding of nano-flow chromatography and modern quadrupole or time-of-flight mass spectrometry instrumentation, development/validation of methodology, biological sample preparation, interpreting of data
Ability to establish and maintain effective working relationships with coworkers, managers and clients
Minimum Education and Experience
Bachelor's Degree in Chemistry/Bioanalytical Chemistry or a related field
5 years’ progressively responsible related experience or equivalent combination of education, training and experience in GLP laboratory environment
IQVIA is an EEO Employer - Minorities/Females/Protected Veterans/Disabled
IQVIA, Inc. provides reasonable accommodations for applicants with disabilities. Applicants who require reasonable accommodation to submit an application for employment or otherwise participate in the application process should contact IQVIA’s Talent Acquisition team at workday_recruiting@iqvia.com to arrange for such an accommodation.
Apply Now! | 2.9 | Q2 Solutions
2.9 | Marietta, GA | Morrisville, NC | 1001 to 5000 employees | 2,015 | Company - Private | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | Unknown / Non-Applicable | -1 | 0 | 0 | 50 | 110 | 80 | Q2 Solutions
| GA | 0 | 5 | 0 | 0 | 0 | 0 | 1 |
IT - Data Engineer II | $61K-$119K (Glassdoor est.) | IT - Data Engineer II
The Data Engineer II provides support development in the field of big data and analytics and is responsible for working with and understanding various elements of data both internal and external to Arbella. Understands how to read and follow architectural mapping to create data models and assists in governance of these models. Follows best practices used across organization. Prepares data for use in predictive and prescriptive modeling. Employ a variety of languages and tools (e.g. scripting languages) to marry systems together. Develops meaningful business reports through various presentation and BI tools like Business Objects.
Candidates must have knowledge of new and legacy technologies, have knowledge of relevant platforms and environments, and be familiar with business process, functions and data to provide innovative, insightful, and secure data and analytic solutions. Candidates must have a passion for learning new emerging technologies.
To be considered as a candidate for a Data Engineer II position, a person must have a proven track record of building data models in relational or NO SQL information systems. They must be excited and motivated to work in a data centric environment. They have sound organizational skills. They look to build collaborative relationships across all levels of the business and the IT organization. They possess analytic and problem-solving skills and have the ability to synthesize complex information using current or advanced technologies. Able to communicate technical results to both technical and non-technical users using effective story telling techniques and visualizations. Demonstrated ability to perform high quality work both independently and collaboratively.
Key Responsibilities:
• Demonstrates expertise synthesizing and analyzing data sets of different sizes and complexities that can be both structured and unstructured as well as augmenting data from internal sources with appropriate external data.
• Demonstrates the application of sound data modeling principles.
• Assists team in the development and maintenance of best practices, methodologies, standards and frameworks.
• Continually seeks ways to improve processes, workflows and/or operations.
• Provides leadership, mentoring and coaching to other analysts.
Key Requirements:
• Bachelor’s Degree in Business Analytics, Data Analytics, Data Science, Computer Science, Finance, or related major; 3 years total relevant work experience.
• Experience using Java and SQL.
• Interested in distributed technologies like Hadoop, Spark, Hive, Pig.
• Reporting/data visualization tools .
• Experience with Talend and Informatica.
• Excellent written and verbal communication skills.
#LI-CL1 | 3.4 | Arbella Insurance
3.4 | Quincy, MA | Quincy, MA | 1001 to 5000 employees | 1,988 | Company - Private | Insurance Carriers | Insurance | $100 to $500 million (USD) | -1 | 0 | 0 | 61 | 119 | 90 | Arbella Insurance
| MA | 1 | 32 | 0 | 0 | 1 | 0 | 1 |
Research Scientist, Immunology - Cancer Biology | Employer Provided Salary:$100K-$140K | Research Scientist, Immunology - Cancer Biology
Location: Cambridge, MA
Kronos Bio seeks a highly motivated Research Scientist to join its drug discovery team located in Cambridge, MA. As a member of an interdisciplinary team, this individual will be expected to harness their strong background in immunology/immuno-oncology to help guide strategic scientific decisions and research program development. The applicant is expected to have a robust experimental skill set, an eagerness for learning, and contribute to a strong culture of teamwork and collaboration in a fast-paced environment.
Principal Duties and Responsibilities:
Provide functional area expertise in immunology/immuno-oncology as a member of the Biology team.
Work within project teams and across functional groups to drive key elements of the discovery and preclinical development of novel cancer immunotherapies.
Independently design, optimize, and execute flow cytometry-based immunological assays to characterize lead compounds and their effects on anti-tumor immune responses.
Use a repertoire of in vitro assays (ELISA, qPCR, Nanostring, western blotting) to further define the MOI of lead molecules and the biology of novel targets.
Identify and implement new experimental techniques as required to answer critical scientific questions and advance programs.
Use literature survey to solve specific research problems.
Actively contribute to a focused, team-oriented atmosphere providing assistance and/or guidance to colleagues when needed.
Maintain high standards of laboratory safety
Perform research in compliance with all applicable regulatory and guidelines, as informed by supervisor.
Qualifications:
PhD in immunology or related field with 0-2 years of industry or postdoctoral research experience (industry/biotech experience preferred).
Expertise in basic immunological techniques such as isolation and culture of primary cells, multi-color flow cytometry, and cytokine profiling.
Experience establishing ex vivo functional immune assays such as T cell proliferation, suppression, and cytotoxicity assays.
Extensive knowledge of T cell biology, including regulatory T cells, and mechanisms of immune suppression is a plus.
Ability to work independently and able to balance multiple tasks or projects.
Diligent with details and timely execution and delivery of high-quality results.
Familiarity with analysis of genomic and gene expression data sets.
Highly analytical mind, attention to detail, excellent organizational skills, and rigorous experimental record keeping using an ELN system are critical.
Collaborative, proactive and optimistic personality.
Interested candidates should forward a resume and cover letter to careers@kronosbio.com.
https://kronosbio.com/openpositions/
Kronos Bio, Inc., is dedicated to the research and development of first-in-class therapies that modulate historically “undruggable” cancer targets. Leveraging industry-leading research into high-throughput screening strategies for chemical modulators of transcription factors and other challenging targets in oncology, Kronos Bio utilizes its small molecule microarray (SMM) platform and extensive know-how in biological assay development to pursue novel therapies against some of the most important and intractable targets in cancer research . | -1 | Kronos Bio | Cambridge, MA | San Mateo, CA | Unknown | -1 | Company - Private | -1 | -1 | Unknown / Non-Applicable | -1 | 0 | 1 | 100 | 140 | 120 | Kronos Bio | MA | 0 | -1 | 0 | 0 | 0 | 0 | 1 |
Project Scientist - Auton Lab, Robotics Institute | $56K-$91K (Glassdoor est.) | The Auton Lab at Carnegie Mellon University is a large academic group driven by a desire to make a real-world difference in a broad range of research interests. The areas of our current focus include, but are not limited to, modeling complex temporal and sequential data, structural learning, incorporating diverse feedback, interactive network science and human-machine interaction. We are always interested in finding ways to make Artificial Intelligence more accessible, beneficial and affordable to everyone. The areas of our current application interests include healthcare in clinical, managerial, and new sensing modalities contexts, radiation safety, countering human trafficking, agriculture, predictive maintenance of equipment, multi-modal data analytics, etc.
We are seeking a Project Scientist to join us in the Auton Lab. In this role, you will act as a team leader for specific areas of research projects in applied data science. Working with principal investigator(s), you will prioritize project goals based on overall organizational goals. You will contribute significantly in the development and documentation of research finding and as a major collaborator of scientific papers. There will be frequent opportunities to present research finding to current or potential sponsors and at major national and international conferences.
Core responsibilities will include:
Preparing data, developing models, and producing research findings
Contributing to project management and maintenance of customer relationships
Documenting research findings, producing reports and synthetic summaries
Contributing to scientific publications
Working with principal investigator(s) to formulate research goals and plans
Preparing and delivering presentation of research findings
Qualifications:
PhD in machine learning, applied mathematics, statistics, computer science, or other relevant field or equivalent combination of training and experience preferred
10-15 years of Research Experience required
Proven technical background
Experience in analyzing of data at scale, proven hands-on model development
Flexibility, excellence, and passion are vital qualities within Auton Lab. Inclusion, collaboration and cultural sensitivity are valued proficiencies at CMU. Therefore, we are in search of a team member who is able to effectively interact with a varied population of internal and external partners at a high level of integrity. We are especially interested in qualified candidates who can contribute through their work/life experiences to the diversity and excellence of the academic community.
You should demonstrate:
Excellent communication skills
Ability to work optimally in a team
Are you interested in this opportunity with us? Please apply.
More Information:
Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
A listing of employee benefits is available at: www.cmu.edu/jobs/benefits-at-a-glance/.
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. | 2.6 | Software Engineering Institute
2.6 | Pittsburgh, PA | Pittsburgh, PA | 501 to 1000 employees | 1,984 | College / University | Colleges & Universities | Education | Unknown / Non-Applicable | -1 | 0 | 0 | 56 | 91 | 73.5 | Software Engineering Institute
| PA | 1 | 36 | 0 | 0 | 0 | 0 | 1 |
Data Scientist | $68K-$114K (Glassdoor est.) | Overview:
Blazing a new trail, we are further developing our Insight Marketing team to include the data science discipline. We are looking for candidates who love learning, questioning the status quo, and finding data-backed ways to "do-it better''. We need a self-starter to tackle algorithmic modeling, what-if analysis, attribution, and more. Your work will be on the front-edge of one of the most innovative Automotive advertisers (rated "Genius" by L2 think tank). As we continue to develop our big data team you will wear many hats and will be responsible for a fair amount of trail blazing. You will function as a combination of a data scientist, data engineer, and project manager. Together, you and your trusty Junior Data Analyst, will accomplish many things.
Purpose:
The Data Scientist position requires a multidisciplinary approach to technology, business, and marketing applied together to unlock insights hidden within our marketing data. You'll use your talent for breaking down business challenges into data-driven problems that guide performance gains for one of the world's largest Automotive manufacturers. You will create predictive and prescriptive models by detecting and exploiting patterns in massive data sets. You will also create data visualizations and give presentations that will help key stakeholders in the decision making process.
Desired Qualifications:
We need people that feel comfortable across the entire spectrum of data science, from collaborating across teams and brainstorming on the whiteboard, all the way to implementing and testing their models. If you are detail oriented and passionate about leveraging data, statistics, and improving client outcomes, this position is for you.
Responsibilities:
Perform exploratory data analysis
generate and test working hypotheses in a cross-silo collaborative environment
Prepare and analyze historical data and identify patterns
Demonstrate expertise in deriving insights from structured, semi-structured, and unstructured datasets
Must have developed and deployed data-backed solutions in the domain of marketing
Designing and implementing your own algorithms and data structures
Other Qualifications:
Experience manipulating big and noisy data sets (e.q. SQL, server log file)
Experience working in big data framework (Hadoop, NoSQL, BigQuery, etc)
Experience and knowledge of data storage, data management, and big data processing tools preferred
Strong background in statistics
Experience with scripting and rapid prototyping using python
Data mining experience (using python/pandas)
Experience with Machine learning
Knowledge of data visualization tools (tableau, datastudio, matplotlib)
Microsoft Office - Excel, PowerPoint, Word expert proficiency
The responsibilities are many, various, and not limited to those written in this document.
Required Skills
Required Experience
Job Location
Fort Lauderdale, US-FL | 3.8 | Zimmerman Advertising
3.8 | Fort Lauderdale, FL | Fort Lauderdale, FL | 501 to 1000 employees | 1,984 | Subsidiary or Business Segment | Advertising & Marketing | Business Services | Unknown / Non-Applicable | -1 | 0 | 0 | 68 | 114 | 91 | Zimmerman Advertising
| FL | 1 | 36 | 1 | 0 | 0 | 0 | 1 |
Data Scientist | Employer Provided Salary:$150K-$160K | BPA Services, LLC is seeking a Computer/Data Scientist who will support our customer with insights gained from analyzing large volumes of financial, payroll and staffing data. The ideal candidate will be adept at using large data sets to find trends explain outcomes. The candidate should be able to use existing models and create new models to project outcomes and test the effectiveness of different courses of actions. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The candidate should be open to sharing the analysis, knowledge and results with team members and management.
Responsibilities
Provides assessments regarding current, state-of-the-art and industrial trends in the computer field related to data science
Applies knowledge of computer science concepts and techniques, mathematics, and methods of statistical analysis to develop and apply automated solutions to engineering, scientific or business data acquisition and management problems
Assists with defining computer system requirements to meet customer requirements
Provides improvements to the performance of existing computer systems and software
Development, design, and implementation of data models that meet customer requirements
Work with business analysts to share the customer requirements, current timelines, expectations, and available solutions
Conduct data mining and analyze data from a variety of databases and financial systems to drive optimization and improvement of financial projection.
Assess the effectiveness and accuracy of new data sources and models and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize customers financial and staffing plans, other business outcomes.
Coordinate with different teams to implement monitor outcomes, generate and present reports to management.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Requirements
15+ years of relevant experience
Bachelor’s Degree in Computer Science or Engineering field
Must have working knowledge of computer languages
Experience with financial modeling
Excellent verbal and written communications skills
Excellent organizational skills and attention to detail.
Ability to multitask, prioritize, and manage time effectively
Excellent customer service skills
Preferred Experience
Knowledge and experience with DELPHI, FPPS and NDC
Knowledge and experience with CMMI documentation and process
BPA Services provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. | 5 | BPA Services
5.0 | Washington, DC | Alexandria, VA | Unknown | -1 | Company - Private | Enterprise Software & Network Solutions | Information Technology | Unknown / Non-Applicable | -1 | 0 | 1 | 150 | 160 | 155 | BPA Services
| DC | 0 | -1 | 0 | 0 | 0 | 1 | 1 |
Enterprise Architect, Data | $101K-$158K (Glassdoor est.) | The MassMutual Data Science team in the Enterprise Technology and Experience organization is seeking an outstanding Enterprise Architect-Data to join our team. The enterprise architect for data will be responsible for evaluating and benchmarking new database technologies and enabling MassMutual to make high impact, long-term decisions around design, procurement, and deployment of database, storage, and computing technologies that underpin the data analytics, reporting, pipeline, streaming and data science capabilities at MassMutual. Additionally, this architect will be responsible for defining the standards of data flow and data access for all data platforms driving analytics, reporting, and data science systems. This includes the specification of data interchange formats and data interfaces including APIs and driver based access. The data architect will also be responsible for drafting technical standards, creating data reference architectures, patterns and publishing architectural artifacts. This is a critical strategic architecture role to help drive digital transformation and create a competitive advantage for the company
Position Summary
Incumbents work with data scientists, engineers, product managers, and enterprise stakeholders to help deliver innovative, data-driven systems aimed at transforming the insurance industry. As part of a Data Science team, incumbents may be responsible for any of the following:
Technical evaluations and benchmarking of core data technologies including query engines, storage platforms, and big data computing frameworks.
Specification and publication of standards around data transport and data APIs
Thought leadership and active participation in conferences and research with strategic partners and academic institutions
Define the technical platform strategy for enterprise consumer data initiatives
Partner with senior leaders to develop and maintain data platform and data technology strategy
Define data architecture strategies and approaches to advance enterprise data initiatives
Partner with business executives and senior architects to identify data and process issues, then provides solution options and recommends options
Provide recommendations on system options, risks, cost/benefit analysis, and impact on cross-domain systems, business strategy, goals and processes.
Collaborate with extended enterprise architecture, business, and IT support teams to communicate data architecture strategies, standards, and direction.
Skills/Technologies
Big Data - Hadoop, Hive, Flume etc.
AWS EMR, Spark
ETL/ELT pipelines
Informatica
Python, Java, SQL, R, JavaScript/Typescript
Function as a Service - Lambda
Data Warehouse Redshift, Vertica, Snowflake etc.
Relational database Oracle, DB2, Aurora, MySQL
Graph Database Neo4j, Neptune etc.
Data Analytics MicroStrategy, Tableau, PowerBI, AWS Quicksight etc.
Data Engineering Relational, Dimensional, Columnar, Graph DB design
Streaming Kafka, Apache Nifi
What great looks like in this role
The Enterprise Architect will be part of MassMutuals team whose vision is to build an industry leading EA function that creates alignment between technology and business strategy. The EA will have an opportunity to guide the process of planning and designing capabilities to maximize the value of IT and enable the company to make high impact, long-term decisions. This will be accomplished through architecture strategies, blueprints and road maps that standardize technology stacks and create engineering speed and agility through the innovative use of data science, data analytics, cloud and APIs. The EA will work with a team that embrace diversity in all of its forms, respect and have fun.
Objectives of this role
Enterprise data architecture strategy
Enterprise data analytics strategy
Data Reference architectures
Data placement, usage and storage patterns
Data integration patterns
Data platform architecture and design
Basic Qualifications
Bachelors Degree preferably in Computer Science, Engineering or an analytical field such as Economics, Mathematics or Information Systems
5 years of related IT Solutions Architecture or Technical Lead
Deep technical knowledge across the various integration points
Understanding of the impact of IT on business results
Authorized to work in the US with or without sponsorship now or in the future
Preferred Qualifications
7 years of related IT Solutions Architecture or business consulting experience preferred
Preferred job experience includes some knowledge of Insurance and Retirement Services
Excellent communication, presentation, influencing and reasoning skills | 3.6 | MassMutual
3.6 | Boston, MA | Springfield, MA | 5001 to 10000 employees | 1,851 | Company - Private | Insurance Carriers | Insurance | $10+ billion (USD) | -1 | 0 | 0 | 101 | 158 | 129.5 | MassMutual
| MA | 0 | 169 | 1 | 0 | 1 | 1 | 1 |
Senior Manager, Epidemiologic Data Scientist | $125K-$210K (Glassdoor est.) | ROLE SUMMARY
The Senior Manager, Epidemiologic Data Scientist will help our team reimagine and create a new, data-enabled approach to understand disease and accelerate drug discovery and development. This role will also require the Senior Manager, Epidemiologic Data Scientist to explore and contextualize disease using academic literature to enable stakeholders across Pfizer to design more effective studies and identify opportunities for alternative pathways for approval. As this role will bring significant transformation to the way we currently understand diseases for the next generation of Pfizer therapies, the Epidemiologic Data Scientist will need to be an innovative, resourceful problem solver with expertise in epidemiology and creating technology-enabled experiences for our stakeholders to enable our work.
ROLE RESPONSIBILITIES
Major Responsibilities
Develop new disease contextualization capabilities with external technology and data partners to bring better understanding of disease to drug research and development pathways
Conduct literature reviews and develop Epidemiology contributions for development and product teams, including:
Epidemiology and regulatory grade RWD Research Strategy
Epidemiology section of the Risk Management Plan (RMP) and Pediatric Investigational Plan (PIP)
Epidemiology sections for other regulatory documents (e.g. ad-hoc regulatory requests)
Background epidemiology studies, natural history of disease studies and user characterization studies
Post-approval effectiveness studies and their feasibility assessments
Other epidemiology studies (e.g. special subpopulations, new indications)
Provide critical assessment of epidemiological data and relevant literature to enable proactive disease contextualization and regulatory submissions/responses
Manage epidemiological work with external vendors for complex literature review and regulatory submissions deliverables
BASIC QUALIFICATIONS
MPH in Epidemiology or Master's degree with relevant work experience
1-3 years in developing epidemiological assessments and researching natural history of disease in the pharmaceutical industry, academia, and/or regulatory agencies
Excellent written and verbal communication skills and the ability to work cross-functionally and collaborate with internal stakeholders and shared services customers
Self-starter with the ability to thrive in a fast-paced, ambiguous environment. Must be highly motivated and desire to constantly learn new skills, systems and processes as continuous innovation and problem solving is expected
Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact
PREFERRED QUALIFICATIONS
Experience supporting a range of therapeutic areas or deep expertise in one or more of the following: Rare disease, I&I, Oncology, Internal Medicine, and Vaccines
PHYSICAL/MENTAL REQUIREMENTS
The position will require the ability to search for, read, and synthesize large volumes of scientific literature.
OTHER INFORMATION
Last Date to Apply for Job: April 17, 2020
Eligible for Employee Referral Bonus
#LI-PFE
Sunshine Act
Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.
EEO & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer.
Medical | 4 | Pfizer
4.0 | New York, NY | New York, NY | 10000+ employees | 1,849 | Company - Public | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $10+ billion (USD) | -1 | 0 | 0 | 125 | 210 | 167.5 | Pfizer
| NY | 1 | 171 | 0 | 0 | 0 | 1 | 1 |
Corporate Risk Data Analyst (SQL Based) - Milwaukee or | $43K-$77K (Glassdoor est.) | Job Summary
Under supervision and guidance, the Corporate Risk Intelligence Analyst:
• Performs data analysis and rule recommendations.
•Generates on-going and ad-hoc reporting.
•Acts as a liaison between technology and Corporate Risk Management (CRM) business partners for the creation of business requirements.
•Participates in planning, definition and testing of changes.
Key Result Areas
• Accuracy, Analysis, Collaboration, Other Business Requirements, Problem Solving, Reporting, Results Driven, Testing, Time Management
Job Accountabilities
• Mine and clean data from multiple sources, then analyze results to identify trends and patterns in order to recommend and configure changes for CRM application parameters leveraging excel or tools that support reviewing analytics and metrics.
•Analyze, anticipate, and support data and reporting requirements for corporate risk solutions including management and board reporting as well as data needs for regulatory and audit requests.
•Provide recommendations with clear and concise rationale to be able to defend the change if asked by management, auditors and/or regulators.
•Work with technology, serving as business line resource for questions, issues, data, configuration, reporting, and general business line support for CRM tools and systems.
•Support CRM project initiatives by writing and reviewing business and design requirements, developing test cases, testing and implementation support.
•Developing, managing and evolving documentation in support of business line support of tools, models and validations.
•Maintaining knowledge by attending educational workshops; reviewing professional publications; establishing personal networks in support of data, configurations, tuning, reporting, and regulatory requirements.Requirements:
Experience - Less than 2 years - Progressive application, data, and or analytics experience within the financial services and/or BSA / risk / compliance function, Required
Education - Associate's Degree or equivalent combination of education and experience Business or related field, Required
Preferred:
Experience - 2-4 years - Progressive application, data, and or analytics experience within the financial services BSA / risk / compliance function, Preferred
Education - Bachelor's Degree Business or related field, Preferred
Skills
•Written Communication , Intermediate
•Verbal Communication , Intermediate
•Ability to Multi Task and Prioritize , Intermediate
•Mathematical , Intermediate
•Microsoft Office , Intermediate
•Analytical , Advanced
•Other: Strategic Thinker, Beginner
•Other: Ability to lead and facilitate Presentations, Beginner
•Other: Project Management / Leadership, Beginner
•Operate Office Equipment , Intermediate
Licenses and Certifications
•Data Analytics, PMP, CAMS, Fraud, Risk or other certification in support of technology, data, analysis or risk-based functions
General Physical Condition
•No unusual physical effort, strain, or discomfort
Associated Bank is an equal opportunity employer committed to creating a diverse workforce. We support a work environment where colleagues are respected and given the opportunity to perform to their fullest potential. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors. Applicants with a disability who need assistance applying for a position with Associated Bank are asked to email: colleaguecare@AssociatedBank.com or call: (800) 878-3282.
Compliance Statement
Operates in full compliance with internal policies and procedures as well as applicable regulations and laws, including but not limited to Bank Secrecy Act/Anti-Money Laundering requirements. Responsible to report any procedure or process that doesnt meet regulatory requirements including fraud, whether suspected or confirmed, to management. This reporting can be done directly to any member of management, including Human Resources or Corporate Security, or can be reported through Associateds anonymous Ethics Hotline. | 3.8 | Associated Banc-Corp
3.8 | Green Bay, WI | Green Bay, WI | 1001 to 5000 employees | 1,870 | Company - Public | Banks & Credit Unions | Finance | $1 to $2 billion (USD) | Wells Fargo, BMO Harris Bank, U.S. Bank | 0 | 0 | 43 | 77 | 60 | Associated Banc-Corp
| WI | 1 | 150 | 0 | 0 | 0 | 1 | 1 |
Lead Data Scientist | $139K-$221K (Glassdoor est.) | Lead Data Scientist will lead specific client projects and modeling teams to deliver technically excellent, highly predictive yet explainable models to drive our product development. This Lead Data Scientist will also communicate and champion Zest’s underwriting technologies to external constituencies including conferences, press, and potential clients.
You will lead the team to develop radically new methods for manipulation and prediction that will enable us to provide fair, transparent credit. Using a combination of machine learning technology and vast amounts of data sources, we seek to transform the credit market while expanding our team into interesting and revolutionary frontiers within the credit world.
In this role you will:
Lead a team of 5+ data scientists in developing high-quality, robust, predictive and explainable algorithms that produce robust and scalable real-time predictions
Define Zest’s modeling strategy and manage pipeline for internal and external modeling efforts
Translate unstructured business problems into well-defined machine learning projects
Collaborate with a cross-functional team of Engineers, Product Managers, and Business Analysts to identify and manage high leverage opportunities for modeling work
Represent Zest in calls, meetings, conferences to advance Zest’s position as the world’s leading ML team
Visibly drive innovation by incorporating new modeling capabilities and/or pioneering data sources
Develop and evangelize best practices for scoping, building, validating, and monitoring modeling projects
Recruit, motivate and develop members of the data science team
We are looking for:
Masters/PhD Degree in Math, Computer Science, Statistics, or a related quantitative field.
Expert command of statistical analysis, algorithm development, and state-of-the-art tools and methodologies for data science
5+ years creating predictive models using advance machine learning techniques
2+ years managing a team of data scientists
Expert command of SQL and R or Python as applied to data science
Experience developing real-time production data pipelines
Experience interacting with external clients is a plus
Perks and benefits:
People – the best part of Zest
Robust healthcare plans, matching 401K and unlimited vacation time
Dog friendly office with lounge areas, video games and gigantic jigsaw puzzles
On-site gym with fitness classes
Generous family leave policy (6 month maternity leave/3 month paternity leave)
Tuition reimbursement, conference allowance and Zest talks
Complimentary massages, manicures, pedicures and more
Daily catered lunches from LA’s top restaurants and fully stocked kitchen
Company happy hours, social events and outings
About Zest AI:
Here at Zest AI, we’re leveraging the power of machine learning and big data to challenge the traditional method of credit underwriting. Lending institutions apply our product – Zest Automated Machine Learning (ZAML) – to better assess decisions on loan portfolios; which in response increases revenue, reduces risk, and automates highly regulated compliance measures within fin-tech.
Please review our CCPA Policy with regard to applicant and employee personal information here. | 3.9 | Zest AI
3.9 | Burbank, CA | Burbank, CA | 51 to 200 employees | 2,009 | Company - Private | Financial Analytics & Research | Finance | $50 to $100 million (USD) | -1 | 0 | 0 | 139 | 221 | 180 | Zest AI
| CA | 1 | 11 | 1 | 0 | 0 | 0 | 1 |
Marketing Data Analyst, May 2020 Undergrad | $44K-$86K (Glassdoor est.) | Fareportal is seeking a Marketing Data Analyst t to join our Marketing Team.
At Fareportal, we create technology that is driving innovation in the travel industry - one of the world's fastest-growing sectors. Our employees are the core of our organization and together we're revolutionizing the way people book travel.
Our portfolio of brands including CheapOair and OneTravel receive over 100 million visitors annually and drive over $4 billion in annual revenue.
We are seeking for a Marketing Data Analyst May 2020 Under grad will be responsible for providing a data driven approach to key long-term investment decisions as well as providing insight to sustain and accelerate the growth of the business. The role will leverage internal data sources, market data and industry knowledge & expertise to support strategic decision making.
Pre-requisites for the role include a technical/analytical skill set, a strong business acumen and a curious mind-set capable of thinking outside the box and questioning the status quo. The role requires a high degree of flexibility and the ability to proactively provide insight and recommendations throughout the organization.
Responsibilities:
Understand the business drivers, spot new growth opportunities and make recommendations to drive the business to a higher level of profitability.
Work on new investment ideas, building a business case to support the decision. Assess costs and forecast the revenue streams.
Understand the impact of retention and acquisition marketing on the business. Calculate the Return of Investment, provide actionable insights and work with the commercial and marketing team to set the right strategy.
Use a scalable approach when facing problems and build tools to automate and improve manual processes.
Requirements:
May 2020 under grad BS/BA College Degree in an analytical discipline (i.e. Engineering, Statistical Science, Mathematics, Actuarial Studies, Economics, Computer Science, etc.)
Experience in working with large complex datasets to derive insight
Excellent knowledge of SQL, Excel
Comfortable using graphs and other illustrative tools to present large volume of data.
Pro-active problem solver attitude with flexibility to work across different units.
Strong work ethic complemented by a positive, can-do attitude.
Understanding of the online business, e-commerce.
Inclined to learn data analysis tools and languages such as Knime, R, SAS etc.
Professional interest in Online Travel/e-commerce/tech industry | 3.8 | Fareportal
3.8 | New York, NY | New York, NY | 1001 to 5000 employees | 2,002 | Company - Private | Travel Agencies | Travel & Tourism | $2 to $5 billion (USD) | Expedia Group, Orbitz Worldwide, Priceline.com | 0 | 0 | 44 | 86 | 65 | Fareportal
| NY | 1 | 18 | 0 | 0 | 0 | 0 | 1 |
Senior Data Engineer | $78K-$147K (Glassdoor est.) | The Genesys Cloud Analytics platform is the foundation on which decisions are made that directly impact our customer’s experience as well as their customers’ experiences. We are a data-driven company, handling tens of millions of events per day to answer questions for both our customers and the business. From new features to enable other development teams, to measuring performance across our customer-base, to offering insights directly to our end-users, we use our terabytes of data to move customer experience forward.
In this role, you’ll partner with software engineers, product managers, and data scientists to build and support a variety of analytical big data products. The best person will have a strong engineering background, not shy from the unknown, and will be able to articulate vague requirements into something real. We are a team whose focus is to operationalize big data products and curate high-value datasets for the wider organization as well as to build tools and services to expand the scope of and improve the reliability of the data platform as our usage continues to grow on a daily basis.
Summary:
Develop and deploy highly-available, fault-tolerant software that will help drive improvements towards the features, reliability, performance, and efficiency of the Genesys Cloud Analytics platform.
Actively review code, mentor, and provide peer feedback.
Collaborate with engineering teams to identify and resolve pain points as well as evangelize best practices.
Partner with various teams to transform concepts into requirements and requirements into services and tools.
Engineer efficient, adaptable and scalable architecture for all stages of data lifecycle (ingest, streaming, structured and unstructured storage, search, aggregation) in support of a variety of data applications.
Build abstractions and re-usable developer tooling to allow other engineers to quickly build streaming/batch self-service pipelines.
Build, deploy, maintain, and automate large global deployments in AWS.
Troubleshoot production issues and come up with solutions as required.
This may be the perfect job for you if:
You have a strong engineering background with ability to design software systems from the ground up.
You have expertise in Java, Python or similar programming languages.
You have experience in web-scale data and large-scale distributed systems, ideally on cloud infrastructure.
You have a product mindset. You are energized by building things that will be heavily used.
You have engineered scalable software using big data technologies (e.g. Hadoop, Spark, Hive, Presto, Flink, Samza, Storm, Elasticsearch, Druid, Cassandra, etc).
You have experience building data pipelines (real-time or batch) on large complex datasets.
You have worked on and understand messaging/queueing/stream processing systems.
You design not just with a mind for solving a problem, but also with maintainability, testability, monitorability, and automation as top concerns.
Technologies we use and practices we hold dear:
Right tool for the right job over we-always-did-it-this-way.
We pick the language and frameworks best suited for specific problems. This usually translates to Java for developing services and applications and Python for tooling.
Packer and ansible for immutable machine images.
AWS for cloud infrastructure.
Infrastructure (and everything, really) as code.
Automation for everything. CI/CD, testing, scaling, healing, etc.
Flink and Kafka for stream processing.
Hadoop, Hive, and Spark for batch.
Airflow for orchestration.
Druid, Dynamo, Elasticsearch, Presto, and S3 for query and storage.
About Genesys
Every year, Genesys® delivers more than 70 billion remarkable customer experiences for organizations in over 100 countries. Through the power of the cloud and AI, our technology connects every customer moment across marketing, sales and service on any channel, while also improving employee experiences. Genesys pioneered Experience as a ServiceSM so organizations of any size can provide true personalization at scale, interact with empathy, and foster customer trust and loyalty. This is enabled by Genesys CloudTM, an all-in-one solution and the world’s leading public cloud contact center platform, designed for rapid innovation, scalability and flexibility. Visit www.genesys.com.
Genesys is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics. #LI-AR2 | 4.3 | Genesys
4.3 | Durham, NC | Daly City, CA | 5001 to 10000 employees | 1,990 | Company - Private | Computer Hardware & Software | Information Technology | $1 to $2 billion (USD) | Avaya, Five9, Salesforce | 0 | 0 | 78 | 147 | 112.5 | Genesys
| NC | 0 | 30 | 1 | 0 | 1 | 1 | 0 |
Senior Data Analyst | $65K-$110K (Glassdoor est.) | Moda Operandi is an e-commerce platform transforming the way people discover and shop for designer fashion. Through its innovative mix of commerce and content, Moda allows women and men to shop for what's new and what's next in designer fashion from the world's leading emerging designers and luxury brands. Founded in 2010, Moda Operandi's mission is to make it easy for designers to grow their businesses and consumers to realize their personal style. Today, Moda's platform carries more than 1,000 brands and designers across fashion, fine jewelry and home, ships to 125 countries, and has raised nearly $300M in funding from top-tier global investors.
Position Summary
The Senior Data Analyst works with the leads for the analytics function on the Analytics team at Moda Operandi. The ideal candidate is data-driven, with an ability to understand the bigger picture. This role is responsible for providing actionable insights that ultimately drive value. The Senior Data Analyst should be comfortable presenting those insights and recommendations to various individuals across the organization.
What You'll Do
Analysis
Own the delivery of digital analytics and insights across the business units, making recommendations and implementing improvements to current business practice.
Conduct ad hoc analyses that will advise the marketing team on how to maximize channel profitability and optimize promotional strategies.
Execute deep-dive analysis, through application of statistical methodologies, (such as cluster analyses) to provide insights into customer/marketing performance data
Reporting
Develop and disseminate weekly, monthly and quarterly E-commerce & marketing dashboards to the executive team
Monitor website shopping funnel performance and identify marketing & merchandising opportunities to improve E-commerce KPIs
Automate recurring reports to increase department and organizational efficiency
Planning & Forecasting
Participate as the marketing lead in the annual business forecasting process and on an ad hoc basis to understand the impact of new company initiatives
Maintain daily forecasts for key web metrics and measure performance against goals for Moda's business divisions, product categories, marketing channels and visitor device types
Data Accuracy & Availability
Partner with product, tech and marketing teams to ensure the right tracking is in place to measure success of initiatives, and to update tracking as new product features and marketing vendors are added
Develop new methods for understanding how cross-device and cross-channel interactions influence current reporting
Partner with QA team to automate the process for ensuring web analytics data is consistent and correct
Organizational Leadership
Works with Senior Analyst to define digital analytics road map and prioritizes projects based on current company needs & future growth
Advise marketing and tech teams on AB test design and implementation best practices
Stay abreast of digital analytics technology and tracking best practices
Who You Are
Bachelor's degree in marketing, math, statistics, finance, or related analytical field
3+ years of experience in a digital analytics or web analytics role
Strong SQL skills, R or Python a plus
Self-starter & able to manage projects from ideation through completion
Strong Microsoft Excel skills
Strong data presentation and visualization skills.
Experience with Google Analytics, Omniture/Adobe Analytics or other web analytics tools a plus
Experience with statistical software (SAS, SPSS, or open source equivalent (R / Python)) a plus
Experience with Looker or other dashboarding tool a plus
Experience with large data sets a plus
Working knowledge of HTML/CSS/Javascript a plus
Bonus Points
Communication and Influencing
Demonstrate ability to build and foster productive working relationships with cross-functional teams
Creative thinker with the confidence to share ideas with the team
Impact the ability to:
Support cross-functional team improvement initiatives
Execute appropriate processes and decisions across the organization
Industry Knowledge
Comprehensive understanding of the fashion and luxury goods industry, consumer products and personal technology industries, and trends affecting them
Resiliency
Thrive in a fast-paced environment, welcoming challenges
Adapts to change with ease and composure
Curiosity
Possesses a desire to uncover and explore
Digital Acumen
Exceptional understanding of digital landscape and how all channels work together to create 360 degree impact | 1.9 | Moda Operandi
1.9 | New York, NY | New York, NY | 201 to 500 employees | 2,010 | Company - Private | Department, Clothing, & Shoe Stores | Retail | $100 to $500 million (USD) | YOOX NET-A-PORTER GROUP, Farfetch, MATCHESFASHION | 0 | 0 | 65 | 110 | 87.5 | Moda Operandi
| NY | 1 | 10 | 1 | 0 | 0 | 0 | 1 |
Data Modeler - Data Solutions Engineer | $37K-$66K (Glassdoor est.) | Data & Analytics Engineering organization of Liberty Mutual Global Retail Marketing is expanding its data modeling team. Data Modelers design transactional and analytical databases that translate complex business data into usable computer systems. Data Modelers work with data architects to design databases and data structures that meet organizational needs using conceptual, logical, and physical data models. Their models are designed to improve efficiency and business value and may focus on issues such as reducing data redundancy, improving data quality or improving data movement across systems.
An ideal Data Modeler is an analytical and creative thinker who is not intimidated by roadblocks and challenges. They understand how to successfully evaluate problems and develop appropriate solutions. Data Modelers perform well under pressure, possessing great focus while completing projects efficiently. They should be able to work well as part of a team, but also carry responsibility for their own work. Data Modelers also need to be able to work on multiple projects at a time, with the ability to quickly understand and incorporate new technologies. Below are the skills and abilities that Information Management will look for in a Data Modeler.
What you will do:
Work with the Data Office, Data & Analytics Engineering and Application Development teams to translate business needs into data solutions
Create and Maintain Conceptual, Logical and Physical Data Models
Support Agile squads with creation of DDL and table creation
Participate in Data Governance procedures and policy management
Mentor, contribute and govern Data Management standards and best practices
What you will need:
Bachelor's degree in Computer Science or similar
Previous experience translating Business rules into Conceptual, Logical & Physical models for OLTP / OLAP / Graph / NoSQL databases
Familiarity with Data Warehouse modeling techniques like Data Vault 2.0 and Dimensional
5+ years experience with DBMS (MySQL, SQL Server, Postgres, Oracle, Teradata, Snowflake, DB2)
3+ years experience with cloud-based Data Warehouse and Data Lake environments
Software Development experience with SQL and preferably Python or JavaScript
Experience in converting relational data models to semi-structured data (XML, JSON) or vice versa
5+ years experience with modeling tools such as Erwin or ER/Studio
Must be able to work independently and collaboratively on large scale data projects
Experience in these areas is a Plus:
Experience with ETL tools such as Informatica or Snaplogic
Experience with MDM solutions
Exposure to Business Intelligence tools (PowerBI, MicroStrategy)
Exposure with messaging solution like Kafka and MQ
Has worked with industry standard canonical models
Experience in Enterprise reference and master data management strategies
We take care of our employees...
We strongly believe that a great job should keep you happy both at work-and in life. That's why we offer:
Workplace Flexibility
Wellness Perks
Collaborative workspaces
Sit/stand desks
Career development, programs and classes
Diversity & Inclusion programs
Commuter Benefits
Adoption Assistance
College Savings Plan
Education reimbursement
Hackathon Events
Liberty Mutual is one of America's Best Employers for Diversity and one of the Best Employers for Women http://bit.ly/LibertyMutual-BestPlacesToWorkforWomen one of the Best Employers for New Grads http://bit.ly/LibertyMutual-BestPlacesforNewGrads and one of the Best Places to Work http://bit.ly/LibertyMutual-BestPlacestoWork . We offer excellent benefits for our employees including generous parental leave, retirement plans including 401k and pension, education reimbursement, commuter benefits, college savings plans, and much more.
To learn more about our benefit offerings and culture please visit:
https://LMI.co/Benefits
http://bit.ly/LibertyMutual-Culture
EOE Statement:
Liberty Mutual is an equal opportunity employer. We embrace an environment that is free from all discrimination in the workplace, in its business, or by its vendors. Liberty Mutual values diversity and the differences and similarities of our employees. We foster a diverse and inclusive work environment that leads to better ideas, stronger teams and more innovative products and services for our customers. Learn More: | 3.3 | Liberty Mutual Insurance
3.3 | Indianapolis, IN | Boston, MA | 10000+ employees | 1,912 | Company - Private | Insurance Carriers | Insurance | $10+ billion (USD) | Travelers, Allstate, State Farm | 0 | 0 | 37 | 66 | 51.5 | Liberty Mutual Insurance
| IN | 0 | 108 | 1 | 0 | 0 | 0 | 1 |
Associate Environmental Scientist - Wildlife Biologist | $38K-$64K (Glassdoor est.) | QK, Inc., formerly Quad Knopf, has served a diverse client base throughout the Central Valley for over 40 years. We currently have an opening for an Associate Environmental Scientist. Associate Environmental Scientists use their species specific and relevant environmental knowledge to provide important services pertaining to the health of communities and work to protect the environment from serious hazards. This position is a professional position with responsibility for gathering, compiling, analyzing, and interpreting complex data, then utilizing the information to prepare technical documents and presentations, with an emphasis on NEPA and CEQA compliance. This position is one of a team member who works with general direction from his/her supervisor, and expresses a higher level of independence than an Assistant Environmental Scientist by performing more complex tasks with less direct oversight. The Associate Environment Scientist will assist in routine to moderately complex environmental assessment and remediation projects. This includes the assessment of the risks of new construction to the environment that is needed in order to complete our projects.
Essential Tasks and Responsibilities
Conduct field surveys for threatened, endangered, or rare species, as well as species’ habitat in support of ESA, CWA, Section 404, and other environmental regulations
Observe and monitor species in the field
Conduct archival/electronic research with USFWS and other state and federal agencies
Conduct land use/development monitoring for natural/biological resources protection
Assure permits are requested and maintained appropriately
Provide input for those sections of NEPA and CEQA documents pertaining to environment and data collection methodology
Prepare drafts of technical memoranda, meeting minutes, transmittals, presentations, and other written materials
May compile data and information for public presentations
Other duties as assigned by the Team/Group Leader, Project Manager, Branch Manager, or others as needed in order to successfully complete the project deliverable or meet internal goals
Essential Skills and Abilities
Species identification and research/survey, vegetation community and habitat classification and inventory, monitoring, data synthesis and interpretations required
Excellent writing, research, analytical, interpersonal, communication, and time management skills required
Knowledge of GPS and GIS applications
Proficient in MS Word and Excel
Quantitative analysis skills
Ability to work in a team environment
Critical thinking skills
Technical writing skills
Ability to sit and stand for long periods
Strong ability to communicate well (in writing and verbally) with other staff, clients, and agencies to accomplish team goals
Visual acuity and manual dexterity
Repetitive wrist and hand motions required
Ability to travel to field sites and walk long distances may be required on occasion
Preferred Skills and Abilities
Desire to be helpful to internal and external clients
Able to remain flexible with the ever-changing workload, working conditions and project/agency requirements
Strong critical thinking skills that allow for collaborative innovation in problem solving and project planning
Ability to drive one’s own career path, develop relationships with mentors, and seek opportunities for growth
Proven ability to successfully work against a deadline and within constrained budgets
Proven self-motivation
Ability to teach junior staff both agency and company standards
Education
Bachelor’s degree in biology, botany, wildlife management, ecology, environmental biology, or environmental science
Knowledge of basic methods in designing and collecting field data
Knowledge of habitat classification, wildlife identification, and technical writing helpful
Knowledge of NEPA, CEQA, ESA, CWA, and GIS a plus
Experience
Three (3) to five (5) years’ experience (or MA/MS and two (2) years of experience), especially in the areas of NEPA and CEQA compliance, wetlands delineations, CWA, ESA, and related federal and/or state environmental compliance regulations. Prefer field experience in California
Experience using field equipment
Knowledge of GPS and GIS applications | 4.7 | QK
4.7 | Clovis, CA | Visalia, CA | 51 to 200 employees | 1,972 | Company - Private | Architectural & Engineering Services | Business Services | $10 to $25 million (USD) | -1 | 0 | 0 | 38 | 64 | 51 | QK
| CA | 0 | 48 | 0 | 0 | 0 | 0 | 1 |
Associate, Data Science, Internal Audit | $43K-$82K (Glassdoor est.) | Associate, Data Science, Internal Audit-2001417
Description
[POSITION SUMMARY] The Associate, Data Science drives cross functional analytics projects from beginning to end: builds relationships with partner teams, frames and structures questions, collects and analyzes data, and summarizes key insights in support of decision making. S//he works with engineers to evangelize data best practices and implement analytics solutions.[RESPONSIBILITY STATEMENTS]Collaborates across functional areas of our business at every level of seniority to uncover and address opportunities for scalability and growth.,Drives cross functional analytics projects from beginning to end: builds relationships with partner teams, frames and structures questions, collects and analyzes data, and summarizes key insights in support of decision making.,Evaluation and discovery of alternative data vendors including ability to quantifiably validate external algorithms and apply insights to commercially driven use cases.,Leverages available data tools and collaborate with data scientists and engineers across the firm and adapts data initiatives to needs of business.,Performs quantitative analysis, including alpha assessment, risk analysis, portfolio construction and return attribution to enhance investment strategies using sourced and external data.,Translates business queries into actionable and commercial insights leveraging unstructured data and statistically robust techniques.,Works with engineers to evangelize data best practices and implement analytics solutions.
Qualifications
[EDUCATION] Bachelor's Degree; Statistics, Computer Science, Physical Sciences, Economics, or a equivalent quantitative field.,Master's Degree; Statistics, Computer Science, Physical Sciences, Economics, or a equivalent quantitative field.,Ph.D.; Statistics, Computer Science, Physical Sciences, Economics, or a equivalent quantitative field.,or equivalent work experience; [WORK EXPERIENCE] 5-9 years; [SKILLS AND ABILITIES] Ability to adapt to various programming languages and environments.,Ability to clearly communicate complex results to technical and non-technical audiences.,Ability to utilize analytics in a collaborative manner across business functions and product lines to derive optimum solutions.,Demonstrated ability to communicate complex concepts.,Demonstrated experience with SQL, R or a comparable programming language (such as Python, SAS, SPSS, or MATLAB),Effective time management in order to efficiently deliver concurrent projects with competing priorities.,Excellent written and verbal communication skills.,Individually motivated and possess sound judgment, integrity, and a solid work ethic.,Knowledge of the principles of machine earning, classification models, time series regression and stochastic statistics to deliver improved business performance,Strong evidence of leveraging analytics to drive business results., Strong project management skills.,Strong quantitative and problem solving skills with focus hypothesis formulation and testing. [PHYSICAL DEMANDS] Minimal physical effort such as sitting, standing, and walking.
Job
:Data Science
Primary Location
:Massachusetts-BOSTON-75 State Street - 06366 - State Street-Corp
Organization
:Internal Audit (8880)
Schedule
:Full-time
Job Posting
:Mar 25, 2020, 1:32:51 PM | 3.1 | Santander
3.1 | Boston, MA | Madrid, Spain | 10000+ employees | 1,856 | Company - Private | Banks & Credit Unions | Finance | $10+ billion (USD) | -1 | 0 | 0 | 43 | 82 | 62.5 | Santander
| MA | 0 | 164 | 1 | 0 | 0 | 0 | 1 |
Sr Data Engineer (Sr BI Developer) | $90K-$110K(Employer est.) | Description/Responsibilities
Responsible for the ongoing support of existing Data management solutions, as well as development of new functionality to include sophisticated data management solutions, to enable colleagues to support tactical and strategic decision making. Extracts, models, transforms, and loads data into databases required for Analytics and Reporting. Collaborates with EIS to deliver production ready data assets in support of DM delivery requirements.
Understands complex business requirements and translates into technical specifications.
Uses highest level of subject matter expertise to decide on data modeling, data sourcing, data quality, and DM delivery solutions.
Performs complex data analysis and system profiling to create clear data definitions.
Incorporates complex new data requirements and/or new applications into the warehouse environments.
Reengineer existing system and automate as needed.
Mentor or coach junior levels of developers.
Qualifications
Bachelor’s degree or an equivalent combination of education and related work experience
5 years of work experience as ETL/CUBE Developer
Work experience with multiple database platforms and DM delivery solutions
5 years of experience with ETL, data marts and cubes, implementing and supporting production environments.
5 years of experience designing, building and implementing data warehouse solutions with Microsoft technologies including SQL Server, SSIS, SSAS skill with MDX and DAX skill with tabular cube is a must.
Experience delivering DM solutions with an Agile DM delivery methodology
Experience in working with Healthcare data preferred
Preferred Qualifications:
Experience implementing and delivering solutions with Big Data platforms like Hadoop
Ability to communicate, present and interact comfortably with senior leadership
Demonstrated proficiency implementing self-service solutions to empower an organization to generate valuable actionable insights
Strong team player as well as an individual contributor as situation calls for.
Ability to understand information quickly, derive insight, synthesize information clearly and concisely, and devise solutions
Inclination to take initiative, set priorities, take ownership of assigned projects and initiatives, drive for results, and collaborate to achieve greatest value
Strong relationship-building and interpersonal skills
Demonstrated self-confidence, honesty and integrity
Ability to travel as business needs require (expected
5071
About Tivity Health
Tivity Health®, Inc. (tivityhealth.com) is a leading provider of health improvement, nutrition, fitness and social engagement solutions at scale to improve clinical outcomes, reduce healthcare costs and create opportunities to feel better, work better and live better. With decades of clinical and operational expertise, the company touches millions of consumers through its integrated portfolio of brands and works directly with hundreds of healthcare practitioners and many of the nation’s largest payers and employers. Tens of millions of Americans are currently eligible for Tivity Health’s SilverSneakers®, Prime® Fitness, WholeHealth Living™ and flip50™ programs and millions of people have lost weight with Nutrisystem®, South Beach Diet® and DNA BodyBlueprint™. As part of its commitment to tackling social isolation and loneliness, in 2017, Tivity Health launched a rural aging initiative to address challenges unique to older adults in rural communities.
Tivity Health is an equal employment opportunity employer and is committed to a proactive program of diversity development. Tivity Health will continue to recruit, hire, train, and promote into all job levels without regard to race, religion, gender, marital status, familial status, national origin, age, mental or physical disability, sexual orientation, gender identity, source of income, or veteran status. | 3.4 | Tivity Health
3.4 | Chandler, AZ | Franklin, TN | 501 to 1000 employees | 1,981 | Company - Public | Health Care Services & Hospitals | Health Care | Unknown / Non-Applicable | -1 | 0 | 0 | 90 | 110 | 100 | Tivity Health
| AZ | 0 | 39 | 0 | 0 | 0 | 0 | 0 |
Data Engineer | $61K-$109K (Glassdoor est.) | BRMi Technology is seeking a Data Engineer (CI/CD Subject Matter Expert) for a large client in the Northern Virginia area. The selected candidate will support our client's Information Technology division and their enterprise by providing comprehensive data engineering solutions in translating the business vision and strategies into effective IT and business capabilities through the design, implementation, and integration of IT systems for the Enterprise Data Team. The Data Engineer will be responsible for guiding the evolution, development, and governance of our client's data as it pertains to the roll-out and acceptance of CI/CD practices and principles, tools and platforms.
Required:
Extensive experience in engineering and designing CI/CD solutions specific to data management organizations, including use of a variety of data ecosystem tools and technologies with emphasis on Sqoop, Spark, Scala, Python, Java, UNIX Shell, Hive and Impala for a minimum of three (3) years
1. Experience in CI/CD concepts and use of automation tools such as GitHub, Jenkins, Maven, etc.
2. Ability to update and maintain CI/CD practices, communicate, and train teams to use the practices and tools in projects.
3. Familiarity with script writing and ability to interpret and write source code.
4. Familiarity with cloud provider platforms (AWS, Azure and CDH)
5. Proficient in the data ingestion pipeline process, exception handling and metadata management on big data platforms
6. Experience in architecture and design of data architecture solutions using Hadoop ecosystem tools and technologies such as Sqoop, Spark, Scala, Python, Java, UNIX Shell, Hive and Impala
7. Experience in business intelligence disciplines, and a deep understanding of Data Warehousing BI, and advanced analytics concepts in large organizations
Desired:
1. Advanced degree in MIS, computer science, statistics, marketing, management, finance or related field
2. Experience with Data Governance and Data Pipeline Management
3. Prior experience in the Financial Industries and large banks
** BRMi will not sponsor applicants for work visas for this position.**
**This is a W2 opportunity only**
EOE/Minorities/Females/Vet/Disabled
We are an equal opportunity employer that values diversity and commitment at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. Employment policies and decisions on employment and promotion are based on merit, qualifications, performance, and business needs. The decisions and criteria governing the employment relationship with all employees are made in a nondiscriminatory manner, without regard to race, religion, color, national origin, sex, age, marital status, physical or mental disability, medical condition, veteran status, or any other factor determined to be unlawful by federal, state, or local statutes. | 4.4 | BRMi
4.4 | Chantilly, VA | Washington, DC | 51 to 200 employees | 2,004 | Company - Private | IT Services | Information Technology | Unknown / Non-Applicable | -1 | 0 | 0 | 61 | 109 | 85 | BRMi
| VA | 0 | 16 | 1 | 0 | 1 | 1 | 0 |
Senior LiDAR Data Scientist | $93K-$151K (Glassdoor est.) | Overview
Luminar is an autonomous vehicle sensor and software company with the vision to power every autonomous vehicle by delivering the only LiDAR capable of making them both safe and ubiquitous. Founded in 2012, Luminar is a 350-person team across Palo Alto, Orlando and Colorado Springs, and has raised more than $250M from prominent venture funds. Today, 12 of the world’s top 15 automotive companies are working with Luminar’s breakthrough technology as part of their global autonomous development programs, including Volvo Cars, Toyota Research Institute, and VW/Audi’s subsidiary, AID.
We are a diverse team of passionate and driven individuals, making us a powerhouse of innovation, design, engineering, and manufacturing. We are hiring the best and the brightest to accelerate the industry, and bring forward the next transportation revolution.
Responsibilities
Seeking an experienced statistician responsible for performing statistical analysis on LiDAR systems for use in the autonomous automotive market. This individual will apply their strong analytical, engineering and statistics skills to assess overall system performance, characterize algorithm performance, and perform troubleshooting at both the system level and algorithm level. The ideal candidate has prior experience processing image or point cloud data and knowledge of statistical learning methods.
Responsibilities:
Create and execute experimental designs to understand LiDAR system and subsystem performance
Continually improve the ability to report on LiDAR system and subsystem performance through the development and automation of data reporting and analysis routines
Apply analytical skills to not only root cause issues that involve LiDAR system performance but resolve future issues by providing and collaboratively implementing any recommendations
Analyze and process 3D point cloud data, which includes not only basic tasks such as extracting regions of interest, extracting targets in the scene based upon features, and performing plane fitting but more advanced tasks such as applying nearest neighbor algorithms, applying thresholding techniques, computing normals, applying iterative closest point algorithms, and performing basic segmentation
Write reports and presentations on LiDAR system performance for either internal or external dissemination
Interact with customers to review externally compiled LiDAR field performance test reports
Collaborate with a cross-functional calibration team to improve overall LiDAR calibration and resulting system performance
Collaborate with a LiDAR signal processing and algorithm team to characterize whether new algorithms and existing algorithms meet system performance requirements, which often requires either statistical simulations or data collection on staged or dynamic scenes
Collaborate with a systems engineering team to develop system requirements and test methodologies
Align data collection efforts with company data infrastructure services
Qualifications
Requirements:
Possesses either a:
Bachelor’s degree in Statistics, Math, or Engineering with 8+ years of relevant experience applying statistical analysis skills
Master’s degree in Statistics, Math, or Engineering with 5+ years of relevant experience applying statistical analysis skills
Very proficient in statistics with the ability to apply a strong knowledge of inferential statistics, design of experiments (DOE), and stochastic processes to real world problems
Very proficient working with scientific computing platforms, such as MATLAB and Python, and their associated statistical packages to analyze data
Ability to write high-quality presentations and white papers
Project experience showing competency in applying sensor-level processing such as image processing or point cloud processing techniques to real-world problems
Bonus Points:
Project experience showing competency in applying statistical learning methods to real-world problems
Project experience showing competency in applying either image processing or point cloud processing techniques to real-world problems
Familiarity with industry standard image processing and point cloud processing libraries, frameworks, or toolboxes
Thorough knowledge of full lifecycle processes in safety-critical industries such as automotive, medical, or military with a particular interest in first-hand ISO 26262, ISO 21448 (SOTIF), and Automotive SPICE experience
Previous exposure to validation or verification procedures especially performance qualification
Credential & Educational Requirements
Bachelor’s Degree in Statistics, Math, or Engineering
About Luminar
Luminar is an equal opportunity employer and we are committed to diversity and inclusion. All applicants will be considered for employment without regard to race, color, ancestry, national origin, sex, sexual orientation, gender identity or expression, marital or parental status, religion, age, disability, genetic information, service in the military, or any other characteristic protected by applicable federal, state or local laws. We will make a reasonable accommodation for any qualified applicant with a disability, provided that the individual is otherwise qualified to safely perform the essential functions of the job with or without accommodation and that the accommodation would not impose an undue hardship on the operation of our business. Please let us know if you believe you require reasonable accommodation, or if you would like assistance to complete an application or to participate in an interview at the company.
Luminar offers competitive compensation and a generous benefits package. | 3.9 | Luminar Technologies
3.9 | Orlando, FL | Orlando, FL | 201 to 500 employees | 2,012 | Company - Private | Computer Hardware & Software | Information Technology | Unknown / Non-Applicable | -1 | 0 | 0 | 93 | 151 | 122 | Luminar Technologies
| FL | 1 | 8 | 1 | 0 | 0 | 1 | 0 |
Salesforce Analytics Consultant | $52K-$81K (Glassdoor est.) | Wave6, an Emtec company, innovates with cutting-edge technologies, like Salesforce.com, to help transform mid-size to enterprise organizations by introducing creative solutions. We have a company culture that encourages innovation, collaboration, and that encourages all resources to push the limits on creative solutions for our clients. Our partnership with Salesforce focuses on expanding the platform from Digital Mobile Solutions to the new Wave Analytics offering!! Our team has continued opportunities to learn new skills and grow professionally and we offer competitive benefits and rewards. We are a trusted partner to many household named companies such as General Electric, Home Depot, Weather Channel, NBC, Mesirow Financial, Dominos, LinkedIn and many more. Join our team!
Position Description
The Salesforce Analytics Consultant will collaborate with clients and internal team members to design and implement customized solutions for our clients’ business problems using the Salesforce Analytics Cloud platform. This role is part of the Wave6 Salesforce Analytics Cloud team. Wave6 is one of the pioneer partners recognized by Salesforce as a leader in this exciting space. The role will include strong interaction with Sales and the Analytics Strategy teams. The ideal candidate will be a detail-oriented self-starter with a team player attitude who is passionate about telling stories with data.
Key Responsibilities:
Serve as a trusted advisor to clients by leading conversations to understand, interpret, and document analytics business challenges and needs
Create wireframes for Einstein Analytics dashboards and other analytic solutions
Design and develop dashboards and datasets that address client requirements
Ability to articulate requirements for data integration needs
Develop and provide guidance on implementation best practices
Review and correct project direction, approach and key artifacts to keep programs on track and solutions extensible and maintainable going forward
Work closely with developers and QA resources to ensure that the built solution meets client requirements
Draft functional and technical documentation related to the analytics solution
Present recommendations and solutions to client leadership
Cultivate positive internal and external relationships to build client credibility as an analytics professional
Contribute to the Wave6 library of assets to support analytic solution delivery
Stay up-to-date on Salesforce analytics technologies and industry best practices through a combination of attention workshops/training and self-study
Wave6 projects require moderate travel from time to time with a healthy balance of remote and onsite client interaction. Anticipate a maximum of 25% travel over the course of a year.
Preferred Location: Midwest but open to candidates across USA and Canada as most client work is in the U.S. or Canada.
Must Have Skills:
3+ years working with traditional Business Intelligence tools to generate analytics on a variety of data sources (Salesforce Einstein Analytics, Tableau, Microsoft Power BI, SAS, etc.)
2+ years experience with Salesforce
Thorough understanding of the fundamentals of analytics
Hands-on experience in analyzing data, identifying trends and building visualizations
Ability to discover business requirements and translate them into technical requirements suitable for development of an analytical solution
Experience with agile methodologies
Proven ability to clean and transform data in preparation for analysis
Ability to manage priorities and be self-motivated
Preferred Skills:
Experience with Salesforce Einstein Analytics including dataset creation, dataflow modeling, and dashboard design
Experience with key areas of enterprise architecture, including integration technologies, single sign on, and master data management.
Experience with SQL, SAQL, R, Python, or JSON
Understanding of the Salesforce security model and Einstein Analytics security requirements
Professional Skills:
A particular desire to continually study new technologies and functionality, as well as be involved in projects that push the capabilities of existing technologies
Strong communication skills, both written and verbal including the ability to effectively develop materials that are appropriate for the audience and evangelize best practices
Strong presentation skills including the ability to effectively present and defend point of view to a variety of audiences
Enthusiastic, professional, and confident personality, with a focus on customer success
Ability to work independently and be a self-starter
Wave6, an Emtec Company, is an Equal Opportunity Employer
US / Canadian citizens and those authorized to work in the US / Canada are encouraged to apply | 3.9 | Emtec, Inc.
3.9 | Chicago, IL | Jacksonville, FL | 501 to 1000 employees | 1,995 | Company - Private | Enterprise Software & Network Solutions | Information Technology | $100 to $500 million (USD) | -1 | 0 | 0 | 52 | 81 | 66.5 | Emtec, Inc.
| IL | 0 | 25 | 1 | 0 | 0 | 0 | 0 |
Technology-Minded, Data Professional Opportunities | $40K-$101K (Glassdoor est.) | At VU, we help Veterans buy homes. To make that happen, we have a variety of Technology-Minded, Data Professional Opportunities. The mantra that guides all of our Technology teams is, “see a need, fill a need.” That mentality led us to create a uniquely diverse department. We don’t just maintain vendors, but, given our special line of business, we are often creating the technological solutions we need.
The VU Technology Department includes:
Data Services
Information Security
Infrastructure Services
Product Strategy
Quantitative Strategy
Software Services
For our Data Professional Opportunities, you will work on one of the above Technology teams. Examples of these roles include:
Database Administrator
Data Engineer
Data Flow Engineer
Data Architect
Data Analyst
Data Scientist
Tableau Administrator
You are a creator and a maker. Innovation is part of your DNA. You are experienced and a subject matter expert, yet hungry to keep learning.
We’re looking for someone who can be passionate about their job and have fun doing it, who will deliver results with integrity, and who enjoys finding ways to enhance the lives of others every day.
We’ll also want to know you can demonstrate some or all of these attributes:
Familiarity/experience with system analysis and design
Ability to think critically and analytically
Ideate and facilitate creative solutions
Excel in a fast-paced, results-oriented environment
Thrive in a highly cooperative work setting
Strong knowledge of SQL
Experience working with database management systems, such as SQL Server, MySQL, and MongoDB
Relevant experience in software delivery, ideally in our native tech stack: C#/ASP.NET/MVC/WCF/SQL/IIS.
Experience with common ETL tools, especially SSIS
Experience with Big Data tools, such as Hadoop, Spark, Sqoop, Hive, etc.
Familiarity working with Windows or Linux server environments
Experience supporting data-focused applications such as RabbitMQ, Redis, ElasticSearch, etc.
Familiarity with common data-modeling concepts and tools
Proficiency in basic computer technologies
No previous mortgage experience is necessary and as you grow and gain experience, opportunities across the company are available to progress your career.
Veterans United is the nation’s #1 VA lender and over 97% of our customers would recommend us. This may sound like a brag but it's only possible because we have a team of talented and committed employees working hard, every day, to make a difference for the people we serve; the men and women who sacrificed for our country. We find it’s easy to give your best when you serve the brave.
Learn more:
Glassdoor
Careers
Veterans United is proud to be an EOE/ADA and Military-friendly employer. | 4.7 | Veterans United Home Loans
4.7 | Columbia, MO | Columbia, MO | 1001 to 5000 employees | 2,002 | Company - Private | Lending | Finance | Unknown / Non-Applicable | -1 | 0 | 0 | 40 | 101 | 70.5 | Veterans United Home Loans
| MO | 1 | 18 | 0 | 0 | 1 | 0 | 1 |
Senior Data Engineer | $97K-$180K (Glassdoor est.) | Position Overview: From software hacking to hardware hacking, we help secure everything from cryptocurrency exchanges and space telescopes to autonomous vehicles and the electric grid. Today, Praetorian is making significant investments in terms of financial and engineering resources to develop a radically new customer experience we call “Security-as-a-Service” to provide customers with a unified, efficient, and data-driven security platform. We are looking to add the right individual to our growing team supporting the next wave of cybersecurity products and solutions.
As part of that investment, Praetorian is seeking a seasoned Data Engineer with a successful track record in data engineering in a hyper growth company setting. You will have the opportunity to work with some of the best security engineers in the world who hail from organizations such as Amazon, CIA, Facebook, Google, Microsoft, NSA, Redhat, Sun Microsystems, and US Air Force. As an Inc. Best Places to Work, Inc. 500 | 5000, Cybersecurity 500, and Austin Fast 50 Award recipient, we are seeking an individual that understands the professional and personal growth attached to this opportunity and who has the corresponding internal drive to maximize it.
To learn more about Praetorian, visit: https://www.praetorian.com/careers
Career opportunity:
Join an industry with massive socio, economic, and political importance in the 21st century
Work alongside some of the best and the brightest minds in the security industry
Leave an indelible mark on a company where individual input has real impact
Be recognized, internally and publicly, for your contributions in a high profile position
Align your career trajectory with a hyper growth company that is on the move
Core responsibilities:
Create pipelines to ingest and maintain complex data sets into Praetorian's data stores for use in machine learning models
Create tools to scour the internet to find important security information and ingest it into Praetorian's infrastructure
Work with data scientists to create and maintain data ontologies for security
Create the roadmap of how to continually evolve the data engineering infrastructure and techniques to improve Praetorian's ability to find security information
Mentor junior data engineers and teach them how to use data engineering techniques to solve real world problems
Communicate complex concepts to team members
Accountable for:
Creation of data engineering pipelines to find and ingest security vulnerabilities
Creation of data engineering tools to help label and validate data
Required qualifications:
At least 8 years experience designing and building data processing/ETL pipelines
At least 8 years experience in Python and Spark or similar technologies
At least 8 years experience with SQL and relational databases
At least 8 years experience parsing flat files
8+ years development experience
Prior track record in a hyper-growth, high-tech company
Bachelor's degree or equivalent practical experience
Desired qualifications:
Experience working with Google Tensorflow
Experience with modern technology stacks
Experience with micro-services architectures
Experience with cloud platforms and SaaS solutions
Experience with agile/scrum development practices
Experience with test driven development, continuous integration, continuous deployment
Experience with Git, JIRA, Confluence
Experience with Google Compute, Firebase, and GKE
Experience with Docker
Desired behaviors:
Relentless restlessness to turn theory into practice and develop production worthy code that solves real-world customer problems
Determination to always learn and get better and never rest on ones laurels
Personable individual who enjoys working in a team-oriented environment
Comfort dealing with ambiguity in an environment where we build the plane as we fly it
Ability to work within constraints and to challenge the status quo
Ability to self-direct work and truly own the position in a hyper-growth environment
Compensation package:
Competitive compensation
Ownership opportunity through employee stock option plan
Health, dental, and vision insurance
4% company 401K matching vested immediately
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.
We are committed to an inclusive and diverse Praetorian. We are an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We ask that you please include a few paragraphs about yourself and what you are passionate about in your application. | 4.7 | Praetorian
4.7 | Austin, TX | Austin, TX | 51 to 200 employees | 2,010 | Company - Private | Security Services | Business Services | $10 to $25 million (USD) | -1 | 0 | 0 | 97 | 180 | 138.5 | Praetorian
| TX | 1 | 10 | 1 | 0 | 1 | 0 | 0 |
Managing Data Scientist/ML Engineer | $81K-$134K (Glassdoor est.) | Managing Data Scientist/ML Engineer
Apply Now
Become part of the team
We’re looking for a Data Science lead that relishes understanding the latest advanced analytics and machine learning then converting those technologies into effective solutions that help to measurably build a client’s business. We are looking for someone who’s eager to roll up their sleeves with clients then take ideas and run with them.
The Data Science & AI group at PA Consulting is your dream community. As part of the fastest growing innovation practice within PA Consulting, you will work with the latest advanced analytics, machine learning, and big data technologies to generate actionable insights from data and develop innovative data products. We focus on Life Science, Healthcare, Energy & Utilities and CPG sectors and work with various data sets, from social media to public health data. Our domain focus is broad and covers everything from computer vision and NLP, recommender engines, classification and clustering algorithms, linear programming and optimization
Role & Responsibilities:
• Work in collaborative environment with global teams to drive client engagements in PA Consulting key industries: Life Science, Healthcare, E&U, CPG
• Provide data-driven recommendations to clients by clearly articulating complex technical concepts through generation and delivery of presentations.
• Analyze and model both structured and unstructured data from a number of distributed client and publicly available sources.
• Quickly understand client needs, develop solutions, and articulate findings to client executives.
• Perform exploratory data analysis and feature engineering to both inform the development of statistical models and generate improve model performance and flexibility.
• Design and build scalable machine learning models to meet the needs of given client engagement.
What we're looking for
• 7+ years professional work experience as a data scientist or machine learning engineer
• Strong interpersonal and team-building skills
• Exemplary communication skills, including written, verbal and presentation
• The ability to successfully manage client expectations and relationships
• Entrepreneurial, with creative thinking skills
• Experience working with database systems (e.g. SQL, NoSQL, MongoDB, Postgres, ect.)
• Experience working with big data distributed programming languages, and ecosystems (e.g. S3, EC2, Hadoop/MapReduce, Pig, Hive, Spark, etc)
• Experience building scalable data pipelines and with data engineering/ feature engineering.
• Webscraping leveraging Beautifulsoup, Selenium, Scrapy, etc
• Experience with front end (UI), HTML5, JavaScript, CSS, R Shiny, Tableau
• Excellent team-oriented and interpersonal skills.
Benefits
We offer a compelling benefits package that is competitive with the market and designed to reward you for achieving success.
About us
We’re an innovation and transformation consultancy that believes in the power of ingenuity to build a positive-human future in a technology-driven world. Our diverse teams of experts combine innovative thinking with breakthrough-technologies to progress further, faster. With a global network of FTSE 100 and Fortune 500 clients, we’ll offer you unrivalled opportunities for growth and the freedom to excel. Combining strategies, technologies and innovation, we turn complexity to opportunity and deliver enduring results, enabling you to build a lasting career.
Diversity Statement
We believe that diversity makes us a stronger firm and look to employ people with different ideas, styles and skill sets. This diversity stimulates a rich, creative environment – one in which our people develop, and our clients enjoy enduring results. We’re committed to recruiting, promoting and rewarding our people solely based on their ability to contribute to PA’s goals, without regard to their sex, race, disability, religion, national origin, ethnicity, sexual orientation, age or marital status.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. VEVRAA Federal Contractor.
Country
United States
Location
Boston
Contract Type
Permanent
Working Pattern
Full Time
Become part of the team
We’re looking for a Data Science lead that relishes understanding the latest advanced analytics and machine learning then converting those technologies into effective solutions that help to measurably build a client’s business. We are looking for someone who’s eager to roll up their sleeves with clients then take ideas and run with them.
The Data Science & AI group at PA Consulting is your dream community. As part of the fastest growing innovation practice within PA Consulting, you will work with the latest advanced analytics, machine learning, and big data technologies to generate actionable insights from data and develop innovative data products. We focus on Life Science, Healthcare, Energy & Utilities and CPG sectors and work with various data sets, from social media to public health data. Our domain focus is broad and covers everything from computer vision and NLP, recommender engines, classification and clustering algorithms, linear programming and optimization
Role & Responsibilities:
• Work in collaborative environment with global teams to drive client engagements in PA Consulting key industries: Life Science, Healthcare, E&U, CPG
• Provide data-driven recommendations to clients by clearly articulating complex technical concepts through generation and delivery of presentations.
• Analyze and model both structured and unstructured data from a number of distributed client and publicly available sources.
• Quickly understand client needs, develop solutions, and articulate findings to client executives.
• Perform exploratory data analysis and feature engineering to both inform the development of statistical models and generate improve model performance and flexibility.
• Design and build scalable machine learning models to meet the needs of given client engagement.
What we're looking for
• 7+ years professional work experience as a data scientist or machine learning engineer
• Strong interpersonal and team-building skills
• Exemplary communication skills, including written, verbal and presentation
• The ability to successfully manage client expectations and relationships
• Entrepreneurial, with creative thinking skills
• Experience working with database systems (e.g. SQL, NoSQL, MongoDB, Postgres, ect.)
• Experience working with big data distributed programming languages, and ecosystems (e.g. S3, EC2, Hadoop/MapReduce, Pig, Hive, Spark, etc)
• Experience building scalable data pipelines and with data engineering/ feature engineering.
• Webscraping leveraging Beautifulsoup, Selenium, Scrapy, etc
• Experience with front end (UI), HTML5, JavaScript, CSS, R Shiny, Tableau
• Excellent team-oriented and interpersonal skills.
Benefits
We offer a compelling benefits package that is competitive with the market and designed to reward you for achieving success.
About us
We’re an innovation and transformation consultancy that believes in the power of ingenuity to build a positive-human future in a technology-driven world. Our diverse teams of experts combine innovative thinking with breakthrough-technologies to progress further, faster. With a global network of FTSE 100 and Fortune 500 clients, we’ll offer you unrivalled opportunities for growth and the freedom to excel. Combining strategies, technologies and innovation, we turn complexity to opportunity and deliver enduring results, enabling you to build a lasting career.
Diversity Statement
We believe that diversity makes us a stronger firm and look to employ people with different ideas, styles and skill sets. This diversity stimulates a rich, creative environment – one in which our people develop, and our clients enjoy enduring results. We’re committed to recruiting, promoting and rewarding our people solely based on their ability to contribute to PA’s goals, without regard to their sex, race, disability, religion, national origin, ethnicity, sexual orientation, age or marital status.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. VEVRAA Federal Contractor.
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Apply Now | 3.4 | PA Consulting
3.4 | Boston, MA | London, United Kingdom | 1001 to 5000 employees | 1,943 | Company - Private | Consulting | Business Services | $100 to $500 million (USD) | McKinsey & Company, Accenture, Deloitte | 0 | 0 | 81 | 134 | 107.5 | PA Consulting
| MA | 0 | 77 | 0 | 0 | 1 | 0 | 1 |
Scientist, Pharmacometrics | $84K-$157K (Glassdoor est.) | Scientist, Pharmacometrics
Location
Agios Pharmaceuticals HQ
Job Code
1215
# of openings
1
Apply Now
Scientist, DMPK/Pharmacometrics
Agios (agios.com) is a biopharmaceutical company committed to applying our scientific leadership in cellular metabolism to transform the lives of patients with cancer and rare genetic diseases. We are growing rapidly with an active research and discovery pipeline across both therapeutic areas. Agios has two approved oncology precision medicines and multiple first-in-class investigational therapies in clinical and/or preclinical development.
Agios Pharmaceuticals is searching for a dynamic Scientist to join our growing DMPK/Pharmacometrics team. The Scientist will be responsible for pharmacometric activities including data analysis planning, data analysis and interpretation for NCA, population PK/PD and exposure-response analyses for safety and efficacy.
Key Responsibilities
Prepares analysis plan for NCA, exposure-response analysis and population PK/PD modeling and simulation
Performs pharmacometric analyses and activities within assigned programs to yield high impact on critical decisions
Interprets and presents results and recommends appropriate actions
Drives the development and execution of the pharmacometric strategy of clinical development teams
Provides insightful regulatory strategy for pharmacometric support of drug filings and is responsible for the respective sections of regulatory documents
Develops and maintains strong knowledge of best regulatory practices and pharmacometric analysis methodology
Contributes to cross line functional collaboration
Develops and maintains scientific knowledge in pharmacometrics, publishes manuscripts and posters, presents at scientific conferences and other scientific forums internally and externally
Minimum Requirements
Applicants should possess a PhD or Masters in pharmacometric, clinical pharmacology, pharmacokinetics, pharmaceutical sciences, pharmacy, biomedical engineering, statistics, applied mathematics, or a related field with minimum of 0- years (PhD) or 3-6 years (MSc) of experience working as a pharmacometrician
Good interpersonal and communication skills
Good knowledge and hands-on experience of NONMEM and R
Experience developing PK/PD models to aid in research and development decision making
Knowledge of Health Authority perspective on use of modeling and simulation
Strong English oral and written communication skills
Preferred Qualifications
Good knowledge of pharmacokinetics and pharmacodynamics
Familiar with common techniques used in PK/PD modeling and simulation, like Pheonix NLME, SAS, Monolix, PK-Sim, Simcyp and/or GastroPlus, etc. | 3.8 | Agios Pharmaceuticals
3.8 | Cambridge, MA | Cambridge, MA | 501 to 1000 employees | 2,008 | Company - Public | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $50 to $100 million (USD) | -1 | 0 | 0 | 84 | 157 | 120.5 | Agios Pharmaceuticals
| MA | 1 | 12 | 0 | 0 | 0 | 0 | 0 |
Staff Scientist- Upstream PD | $49K-$113K (Glassdoor est.) | As a Staff Scientist in Upstream Process Development, the candidate will be accountable for planning, development, optimization, execution and management of all assigned projects. Working with external clients, R&D, Quality Control/Quality assurance, and GMP Manufacturing, the successful candidate will provide technical expertise and scientific knowledge for design, development, optimization, and production of Protein Therapeutics, Vaccines and Viral Vectors. The successful candidate will contribute to the team based execution of projects, and will act as a primary lead in developing scalable and reproducible processes capable of GMP Production. The candidate will design experiments to meet specific criteria, support cGMP manufacturing operations and Technical Transfer, both internally and externally. Experience with Cell Line evaluation and development under cGMP or cGLP compliance is highly preferred.
The scientist in this position is expected to possess a clear understanding of the principles involved in various cell culture and fermentation methods and have experience in developing upstream process schemes. This position involves development of scale-up procedures for protein and viral based processes, optimization of procedures for optimal growth and productivity, and modification of existing procedures according to the federal regulations for making therapeutic products suitable for human injection. The successful candidate is expected to carry out the work independently with strict adherence to cGLP and cGMP compliance and to overcome challenges in meeting all regulatory requirements for making a safe product while maintaining the structural integrity and biological function of the therapeutic product. It is also necessary to interact with other departments involved in GMP manufacturing for the production planning, product testing and quality assurance for product release. Hands-on experience in process scale-up and transferring of upstream processes from PD to Manufacturing is desirable. Previous experience in a CMO or CRO is a plus.
Job Requirements
Develop robust, high-yield and scalable mammalian cell culture processes for the production of recombinant protein and viral candidates.
Develop and characterize cell lines, evaluate stability and suitability for large scale GMP manufacture.
Lead efforts to evaluate different cell culture media, feeds, and optimal feeding strategies to improve product yield and quality in suspension and monolayer cell culture.
Develop, optimize and scale-up fed-batch and continuous processes using Sartorius B-DCUII small glass bioreactors and BIOSTAT Flex-safe STR single-use bioreactors at 2L, 10L, 50L, and 200L scales, and iCELLis fixed-bed bioreactor.
Evaluate and optimize operation parameters to perform medium exchange, harvest and perfusion using ATF4 or ATF6 system at 50L and 200L production scales.
Interact with other departments involved in GMP manufacturing for production planning, testing and product release in a timely manner resulting in successful completion of projects.
Participate in technology transfer of processes to Manufacturing from external clients, and from internal process Development to Manufacturing.
Generate, manage, and maintain critical data in a highly organized manner in the form of notebooks, protocols, and batch records. Provide progress and developmental reports for assessment by clients, project team and management.
Review production batch records for GMP manufacturing, support and troubleshooting GMP production activities.
Perform experiments and deliver results under minimal supervision, and within tight time lines, to a prescribed budget for both internal / external client projects.
Travel Expectation
None
ABL, Inc. participates in E-Verify, an Internet-based system of the Department of Homeland Security (DHS) and Social Security Administration, that allows us to determine an employee's eligibility to work in the United States.
ADDITIONAL INFORMATION:
Candidate must meet all the requirements of our Company Occupational Health program as directed by the Occupational Health Consultant to include pre-employment physical and drug screen.
Candidates are encouraged to submit a resume and a cover letter outlining background and experience as it relates to the position requirements and salary history/requirements. Please note that “negotiable” is neither salary nor requirements. Salary commensurate with experience.
ABL, Inc. does not accept nor respond to unsolicited resumes from vendors, including recruitment agencies and search firms. Approved recruiting agencies must obtain prior approval from ABL, Inc. Human Resources in order to submit resumes to ABL, Inc. for consideration. | 2.7 | Advanced BioScience Laboratories
2.7 | Rockville, MD | Rockville, MD | 201 to 500 employees | 1,961 | Company - Private | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $25 to $50 million (USD) | -1 | 0 | 0 | 49 | 113 | 81 | Advanced BioScience Laboratories
| MD | 1 | 59 | 0 | 0 | 0 | 0 | 0 |
Scientist Manufacturing Pharma - Kentucky BioProcessing | $68K-$139K (Glassdoor est.) | British American Tobacco
Reynolds American Incorporated is positively transforming the tobacco industry. We’re a family of companies that strives for success in everything we do. The future inspires us because our people are igniting the breakthroughs that are redefining the ways adult tobacco consumers enjoy tobacco in the 21st century.
When other companies talk about growth, they only talk about size. At Reynolds American, we focus on the growth of our people. We take pride in each other’s growth and well-being throughout our careers. We invest in your career and total well-being because we know our companies succeed when our people thrive.
ABOUT OUR ORGANIZATION:
Reynolds American Inc. is an indirect, wholly owned subsidiary of British American Tobacco p.l.c., and the U.S. parent company of R. J. Reynolds Tobacco Company; Santa Fe Natural Tobacco Company, Inc.; American Snuff Company, LLC; Niconovum USA, Inc.; Niconovum AB; R. J. Reynolds Vapor Company; Lorillard Licensing Company, LLC; and Reynolds Brands, Inc.. This position is with Kentucky BioProcessing (2400).
Here, you’ll have the opportunity to work on iconic brands and revolutionary products by collaborating with visionary, principled and passionate people every day.
Job Summary:
This scientist in this position aids in the design and conducts projects to support KBP strategic initiatives. Collaborates within sub-function as well as with external areas on project assignments, establishing relationships and building technical knowledge. This position seeks opportunities to broaden knowledge base and add value to project workstreams. Scientist utilizes creativity and technical knowledge to promote development and implementation of improved and/or new innovative product platforms. (S)He will conduct all activities in accordance with applicable regulations and procedures. (S)He will conduct all activities in accordance with phase appropriate quality systems though following BPRs, SOPs and operations procedures.
Principal Duties and Responsibilities:
Support the identification, development and implementation of new technologies, processes, and associated science.
Aids in extraction and purification of molecules from plants both at an R&D and cGMP level
Applies and interprets principles, theories, and concepts in a scientific specialty.
Understands KBP strategies and ensures alignment of work streams.
Supports the design of and execution of projects and collaborates on project activities with cross functional areas; prepares and presents data/reports to management on these projects or other subjects within expertise.
Education:
4-year undergraduate degree or demonstrated relevant progressive experience
Preferred Skills:
Bachelor’s degree in life sciences
Experience in separation techniques such as chromatography, filtration, centrifugation
Previous experience working in purification of molecules from plant-based systems
Biopharmaceutical Research and Development
Compensation/Targeted Bonus
Competitive Annual Salary
Targeted Annual Bonus
Relocation assistance available for those who qualify.
Benefit Summary
Our company offers very competitive benefit plans, including:
401(k) plan that offers opportunity to save on pre- and post-tax basis up to 50 percent of eligible compensation. Company matches 100 percent of employee pre-tax/Roth (401k) contributions up to six percent
Comprehensive health- and welfare-benefits package
Eleven paid company holidays annually, plus a generous paid vacation plan based on length of service
Company-paid sick and personal days, funeral leave and jury duty leave
Confidential personal financial counseling service
On-site health clinics and fitness centers
A matching grants program that enables employees to direct and double their donations to qualifying charitable organizations of their choice
Health-care advocacy service
Volunteer service opportunities
Federal credit union membership through Allegacy Federal Credit Union
Extensive training opportunities
Reynolds American Inc. and its affiliated companies is an Equal Opportunity / Affirmative Action Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
Our organization offers a level of challenge, responsibility and creativity for motivated employees that stands apart from the crowd.
We are also committed to employing a diverse workforce and valuing different perspectives, experiences and talents to maximize the company's potential for successfully achieving its business objectives.
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Only applicants requiring reasonable accommodation for any part of the application and hiring process should contact us directly via email at TalentAcquisition@RJRT.com.
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Nearest Major Market: Owensboro
Job Segment:
Scientific, Industrial, Scientist, Engineering, Manufacturing, Science, Quality | 3.1 | Reynolds American
3.1 | Owensboro, KY | Winston-Salem, NC | 5001 to 10000 employees | 1,875 | Company - Private | Consumer Products Manufacturing | Manufacturing | $10+ billion (USD) | -1 | 0 | 0 | 68 | 139 | 103.5 | Reynolds American
| KY | 0 | 145 | 0 | 0 | 0 | 0 | 0 |
Sr. Data Engineer | $75K-$140K (Glassdoor est.) | Position Purpose
As a Senior Data Engineer on the Echo Global Logistics team, you will contribute to database management of large scale web-based applications through the use of SQL, C#, and .NET tools. These technologies enable Echo's business while supporting architectural vision of quality, scalability, performance and function. Our proprietary software is created with the goal to simplify transportation for our customers and carriers, and is one of our largest competitive advantages in an ever growing market.
Echo Global Logistics has recently been ranked the third largest digital company by employee size in Chicago and we are continuing to see increased growth in virtually all of our technical teams. Additionally, we have been ranked as the #1 Inbound Logistics 3PL for 2017 and look forward to speaking with you further about our team!
Essential Position Functions
You...
See technology as a passion, not something you just do between 9-5
Possess the ability to create new solutions; we operate on a web based platform and constantly facing unchartered waters
Possess strong fundamentals within coding technologies and a willingness to wear several hats when called upon
Do not wait for something to break; find a problem before it becomes one and constantly aiming to improve
Having a willingness to vocalize these ideas and pick yourself up if you get knocked down
We…
Value passionate technologists, go-getters, and people who never stop seeking ways to improve existing technology
Have a high focus on career development and the runway to get you there
Work hard, period
Offer competitive compensation, benefits, 401k, challenging projects, company wide events, coworkers and leaders who will push you to get better, a sense of community not found anywhere else
Responsibilities:
Data Engineer's work in conjunction with Software Engineers, DBA's, Business Analysts, Quality Assurance and business owners
Serve as a member of a data team that solves complex challenges and builds working database solutions using SQL Server, T-SQL, SSIS, stored procedures, views, user-defined functions, and table functions
Develop solutions and contributing to development, leveraging Object-Oriented programming techniques (.Net), Software Development Lifecycles, Unit Test Techniques, and Debugging/Analytical Techniques.
Collaborate with the team to develop database structures that fit into the overall architecture of the systems under development.
Code, install, optimize, and debug database queries and stored procedures using appropriate tools and editors.
Perform code reviews and provide feedback in a timely manner.
Promote collective code ownership for everyone to have visibility into the feature codebase.
Present technical ideas and concepts in business-friendly language.
Provide recommendations, analysis, and evaluation of systems improvements, optimization, development, and maintenance efforts, including capacity planning.
Identify and correct performance bottlenecks related to SQL code.
Support timely production releases and adherence to release activities.
Contribute to data retention strategy.
Position Requirements
1-3 years in commercial-grade business applications environment leveraging the following:
SQL Server, T-SQL, SSIS, stored procedures, user-defined functions and table functions
Managing design risk
1-3 years leveraging OO programming techniques
Software development lifecycles, Unit test techniques, debugging/analytical techniques
What's in it for you?
Help career growth by joining industry leader and continuing to advance Echo web based technologies
Working with an organization with defined market goals, products, customers, revenue, and development teams
Experienced mentors to learn and adopt new practices
Ability to introduce your own views and takes on our product offerings
Work in wide variety of data management
Ability to constantly enhance and improve applications
Have a clearly defined career growth track with enough flexibility to pave your own way
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, status as a qualified individual with a disability, or Vietnam era or other protected veteran. | 3.4 | Echo Global Logistics
3.4 | Chicago, IL | Chicago, IL | 1001 to 5000 employees | 2,005 | Company - Public | Transportation Management | Transportation & Logistics | $2 to $5 billion (USD) | C.H. Robinson, Total Quality Logistics, Coyote Logistics | 0 | 0 | 75 | 140 | 107.5 | Echo Global Logistics
| IL | 1 | 15 | 0 | 0 | 0 | 0 | 0 |
Lead Big Data Engineer | $121K-$203K (Glassdoor est.) | Our mission is to help people everywhere find a job and company they love. We are disrupting an industry by changing how people search for jobs and how companies recruit top talent.
We are looking for a talented engineer to join our growing data engineering team. The ideal candidate has significant experience in leading a small group of engineers that build scalable data platforms that enable business intelligence, analytics, data science, and data products. You must have strong, hands-on technical expertise in a variety of technologies and the proven ability to fashion robust, scalable solutions. You should have a passion for continuous improvement quality.
We embrace a wide variety of technologies and work very closely with data scientists and business stakeholders to deliver end to end solutions. If you are interested in a fast paced environment, the latest technologies, and fun data problems come join us!
Responsibilities
Design and develop big data applications using a variety of different technologies.
Develop logical and physical data models for big data platforms.
Automate workflows using Apache Airflow.
Write data pipelines using Apache Hive, Apache Spark, Apache Kafka.
Create solutions on AWS using services such as Kinesis, Lambda, and API Gateway.
Provide ongoing maintenance and enhancements to existing systems, and participate in rotational on-call support.
Learn our business domain and technology infrastructure quickly and share your knowledge freely and proactively with others in the team.
Mentor junior engineers on the team
Lead daily standups and design reviews
Groom and prioritize backlog using JIRA
Act as the point of contact for your assigned business domain
Key Qualifications
7+ years of hands-on experience with developing data warehouse solutions and data products.
4+ years of hands-on experience developing a distributed data processing platform with Hadoop, Hive, Spark, Airflow, Kafka, etc.
2-3 years of hands-on experience in modeling and designing schema for data lakes or for RDBMS platforms.
Experience managing a small team of engineers
Experience with programming languages: Python, Java, Scala, etc.
Experience with scripting languages: Perl, Shell, etc.
Practice working with, processing, and managing large data sets (multi TB/PB scale).
Exposure to test driven development and automated testing frameworks.
Background in Scrum/Agile development methodologies.
Capable of delivering on multiple competing priorities with little supervision.
Excellent verbal and written communication skills.
Bachelor's Degree in computer science or equivalent experience.
Nice To Have
Experience building machine learning pipelines or data products.
Familiarity with AWS or GCS technologies.
Be passionate about or have contributed to open sourced engineering projects in the past.
Why Glassdoor?
Work with purpose join us in creating transparency for job seekers everywhere
Glassdoor gives back! Glassdoor is a Pledge 1% member; all employees receive 3 paid volunteer days per year
100% company paid medical/dental/vision/life coverage, with 80% dependent coverage
Long Term Incentive Plan
401(k) Plan with a Company Match to prepare for your future
Conveniently located office in the heart of downtown San Francisco (Embarcadero)
No gender pay gap; we're committed to equal pay with our annual pay gap 'checkup'
Fully-stocked break rooms with complimentary food and drinks
Paid holidays and flexible paid time off
Your choice between Mac or PC
Glassdoor is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, age, veteran or military status, or any other category protected under the law. Glassdoor is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation. | 4 | Glassdoor
4.0 | San Francisco, CA | Mill Valley, CA | 1001 to 5000 employees | 2,007 | Company - Private | Internet | Information Technology | Unknown / Non-Applicable | Indeed, LinkedIn | 0 | 0 | 121 | 203 | 162 | Glassdoor
| CA | 0 | 13 | 1 | 0 | 1 | 1 | 1 |
Product Engineer – Spatial Data Science and Statistical Analysis | $52K-$85K (Glassdoor est.) | Overview
Do you have a passion for finding underlying patterns and helping people make data-driven decisions? Do you want to join an awesome team that is building tools used everywhere from predictive policing to disease prevention? Become a key member of the statistical analysis development team and help us create the tools that enable organizations to make better decisions using Esri software. We’re looking for a passionate, experienced individual to help us improve and expand our capabilities in spatial statistics, machine learning, and spatial data science.
Responsibilities
Research cutting-edge methods and applications in the field of spatial and spatiotemporal statistics and spatial data science
Design, test, and document new analytical tools and the effective visualizations and outputs of those tools
Evangelize spatial data science through various venues such as user documentation, educational materials, conferences, workshops, and online content
Create and ship quality software by working effectively in an agile, highly interactive, and creative team environment
Requirements
Strong background in statistical theory and application
Experience in data mining, machine learning, time-series analysis, or similar analytical disciplines
2+ years of experience with R and Python (special consideration for experience with pandas, NumPy, and SciPy and machine learning libraries such as scikit-learn, TensorFlow, and PyTorch)
Experience with distributed computing, including frameworks such as Spark
Excellent written and verbal communication skills
Master’s or Ph.D. in geography, statistics, econometrics, computer science or related field, depending on position level
Recommended Qualifications
Ability to communicate complex concepts effectively, making spatial data science accessible and even fun
Working experience in geostatistics, spatial statistics, or other statistical fields involving autocorrelated datasets
Passion for storytelling using data visualization
Familiarity with Esri GIS products
Knowledge of or experience developing models or scripts in ArcGIS
Questions about our interview process? We have answers.
The Company
Our passion for improving quality of life through geography is at the heart of everything we do. Esri’s geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.
Carefully managed growth and zero debt give Esri stability that is uncommon in today's volatile business world. Privately held, we offer exceptional benefits, competitive salaries, 401(k) and profit-sharing programs, opportunities for personal and professional growth, and much more.
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
If you need a reasonable accommodation for any part of the employment process, please email humanresources@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. | 3.5 | Esri
3.5 | Redlands, CA | Redlands, CA | 1001 to 5000 employees | 1,969 | Company - Private | Computer Hardware & Software | Information Technology | $1 to $2 billion (USD) | Pitney Bowes | 0 | 0 | 52 | 85 | 68.5 | Esri
| CA | 1 | 51 | 1 | 0 | 1 | 0 | 1 |
Sr Software Engineer (Data Scientist) | $81K-$140K (Glassdoor est.) | Assurant Labs is looking for a thoughtful, adaptive individual with a growth mindset to join our growing team as a Data Scientist In this role, you will work closely with neural networks, computer vision, and machine learning for one of our small product teams in an agile environment. The team focuses on onboarding devices into an insurance program and fulfilling insurance related needs such as filing a claim and viewing policy information. Candidates must have strong communications skills, sound judgement, and the ability to be productive in a fast-paced, team-oriented environment. Responsibilities Enhance device diagnostics capabilities for Pocket Geek platform Develop and maintain a data-warehouse for Pocket Geek platform Building and refining models Create reports based on relational data Create and maintain ETL pipelines Provide insights for the business based on the Pocket Geek Mobile user analytics Requirements Experience with PyTorch or TensorFlow Experience with Jupyter Notebook and Pandas Experience with MySQL and relational database design Experience working with large data sets Analysis skills including math, statistics, and data visualization Ability to reason with and adapt to evolving development tasks and priorities Create and maintain rapport with team members Create and maintain professionalism with those inside and outside the office Hopes Willingness to participate in mentoring and skills transfer among team members A continuous learning mindset that keeps you current on development best practices and trends Excellent communication Desire for a deep technical understanding for the problems at hand Ability to balance trade-offs between speed and quality based on business priorities 86226 | 3.4 | Assurant
3.4 | Westlake, OH | New York, NY | 10000+ employees | 1,978 | Company - Public | Insurance Carriers | Insurance | $5 to $10 billion (USD) | Asurion, SquareTrade, National General Insurance | 0 | 0 | 81 | 140 | 110.5 | Assurant
| OH | 0 | 42 | 0 | 0 | 0 | 0 | 1 |
College Hire - Data Scientist - Open to December 2019 Graduates | $63K-$99K (Glassdoor est.) | Description
Caterpillar's legacy of industry leadership dates back to 1925. We have a global footprint with product in more than 180 countries. Caterpillar is a Fortune 50 company that makes up the most diverse product line in the industry with more than 300 products. We work in industries that provide long-term economic value: commodities (mining, oil and gas); infrastructure (heavy construction, rail, paving, quarry and aggregate); and building construction (residential, commercial, standby power, industrial engines and forestry).
At Caterpillar you will have global exposure and opportunities, deep employee and leadership development resources and a compelling career path to make it possible to have the flexibility and excitement of a diverse career without needing to "start over" at a new company. Even while building deep expertise in one function, our employees can experience different career opportunities by moving between our many business units, locations and product lines throughout their career.
Responsibilities;
Conduct data analytics project using R and data visualization tools (Tableau or Pentaho Business Intelligence Suite)
Assist staff data analyst with constructing Extract-Transform-Load transformations to connect data from ship installations to the BI reporting data mart
Assist in the development and management of relational databases
Assist staff reliability engineers with research into systems engineering analysis of shipboard systems to develop value-based case studies for customers
January 2020 Start Dates
If you are interested in applying for this position, please attach a copy of your resume and an unofficial copy of your transcripts, to your application.
Qualifications
Basic Qualifications;
Must be enrolled full time at a 4-year accredited university/college in one of the following degree programs: Computer Science, mathematics, statistics, systems engineering, or other equivalent technical field
Applicant must be able to work up to 40 hours per week
Applicant must be able to work on site at the Peoria, Illinois location
3.0 GPA or higher
Desired Qualifications:
Able to work independently with some supervision
Expertise in Business Intelligence reporting, Tableau and/or Pentaho Business Intelligence Suite preferred
Experience with JDBC databases
Experience with Java
Experience R
Experience with ETL processes
Strong communication and presentation skills
Caterpillar is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status; however, as a global company, Caterpillar offers many job opportunities outside of the U.S. which can be found through our employment website at www.caterpillar.com/careers.]]> | 3.7 | Caterpillar
3.7 | Peoria, IL | Deerfield, IL | 10000+ employees | 1,925 | Company - Public | Industrial Manufacturing | Manufacturing | $10+ billion (USD) | John Deere, Komatsu, CNH Industrial | 0 | 0 | 63 | 99 | 81 | Caterpillar
| IL | 0 | 95 | 0 | 0 | 0 | 0 | 0 |
Senior Data Scientist | $110K-$150K(Employer est.) | Working for Equity Residential (EQR), a leading multi-family real estate investment trust (REIT), means being part of a community and striving to provide the best in apartment living, speaking boldly about new ideas for innovation, and inspiring creativity in the ways we work together. Our portfolio of high-quality properties in urban growth markets New York City, Boston, Washington DC, Seattle, San Francisco, Denver and Los Angeles provides homes where people most want to live, work and play. We've got the best people in the business, and our experience shows in our dedication to our residents and in how much we value each other as colleagues. Thats why our employees say they are proud to work at Equity, a company that gives our residents a place where they can Live Remarkably, and offers a culture where our employees have the opportunity to make their mark.
As a Senior Data Scientist, you'll join a growing team of data scientists and engineers, reporting into EQRs Operations organization but working across multiple teams throughout the company. You will be responsible for providing advanced analytic insight and thought leadership to support the needs of EQRs senior executives and their teams. You will support the ongoing development and maintenance of a data warehouse of relevant internal and external data from customer and transaction data to macroeconomic factors. Youll regularly perform both quantitative analysis and primary research, while also synthesizing secondary research on topics of interest, including (but not limited to): economic, demographic, property operations, and technology trends. Additionally, you will take part in providing indirect leadership and ongoing coaching and development to more junior members of the Data Analytics team. Each day will be unique, requiring an ability to think strategically and on your feet, be creative, take initiative, and employ a diverse set of skills.
WHO YOU ARE
Knowledgeable, Analytical, and Solution-Oriented. Without a doubt, youve got strong quantitative skills and are comfortable analyzing large data set, spotting trends and patterns, and synthesizing relevant observations. You use a hypothesis-driven approach to engage in analysis that will deliver on your client questions. You like thinking outside the box to come up with innovative points of view on new challenges, relying on your previous analytic work and experience to help guide you along the way.
Results-Oriented. You demonstrate an inherent sense of urgency to drive great results, while being precise in executing your work. You are facile with creating and communicating a clear project plan, tracking progress, and keeping your business partners in the loop along the way.
Intellectually Curious. You're inherently interested in the "why" so that you can identify opportunities that represent unconventional solutions to the problems you are trying to solve.
Strong Communicator. Your writing and speaking skills are concise, articulate, and effective, providing an ability to interact with all levels/various teams across the organization, be understood, and develop trust and rapport within the organization.
Technologically Savvy. Microsoft Excel is a basic tool to you that you know like the back of your hand. You also have a strong skill set in R, Python, ArcGIS, machine learning, neural networks and/or other advanced analytics tools and techniques.
A Trusted Team Player. You enjoy partnering with others and build constructive working relationships that foster the collaboration necessary to deliver great results. You are accountable to your teammates and follow through on commitments.
Organized and Confident. You are flexible, composed, and able to prioritize multiple tasks and deadlines simultaneously, while confidently interacting with a variety of individuals, across all levels of the organization. You handle pressure well and do so with confidence.
WHAT YOULL DO
Undertake data-centric projects and experiments across the company by leveraging one of the most comprehensive databases of apartment operations on the planet, combined with strategically sourced data from third parties.
Proactively understand and respond to the specific analytic needs and requests of Equity stakeholders, including but not limited to: investments, finance, operations, property management, IT, legal and HR.
Utilize a hypothesis-driven approach, as well as both quantitative and qualitative primary research methods, to engage in analysis and develop soundly reasoned conclusions that identify or explain demographic, social and other trends, underlying needs, and preferences of existing and potential residents, and any other forces impacting the business.
Critically evaluate research questions by formulating hypotheses and work plans (data sources, timing, resources, collaborators, output etc.)
Prepare narratives, briefs, and more formal reports that concisely communicate relevant findings and conclusions in a timely manner, while providing transparency into the methods used. Perform critical self-reviews of work with exceptional attention to detail (content, logic and presentation/communication quality) before delivering completed research.
Establish and maintain regular, responsive, and timely communications with internal business partners to meet the internal long-range research/consulting objectives and respond to all internal data analytics needs and requests.
Support data-centric projects and experiments across the company, as assigned.
Prepare presentations, narratives, and briefs that communicate relevant ndings and conclusions concisely, with limited jargon, and in a timely manner.
Assist with the design testing, and execution of strategic pilots to measure and verify the validity of the analysis and subsequent recommendations.
Develop and maintain relationships with appropriate third party market research providers and constantly evaluate quality to recommend changes where appropriate.
Help to build, document, and maintain best practices, including but not limited to codebase management, work and issue tracking, testing and quality control/assurance measures, data dictionaries, and a documentation hub for both production level code and ad hoc analyses.
Recommend relevant changes to data collection process to enhance Equitys data asset. As assigned, participates in planning and design of non-analytics strategic initiatives to ensure useful information capture is included in execution plans.
Informally lead/coach more junior members of the Data Analytics team.
PREVIOUS EXPERIENCE & REQUIREMENTS
Advanced degree required: Masters degree with 2-3 years experience or PhD 1+ years of experience. The degree should be in Computer Science, Applied Mathematics, Statistics, Machine Learning, or a related data centric field or equivalent experience is required.
Deep technical and data science expertise, including experience in the following:
Analytical methods: Statistical modeling, supervised and unsupervised machine learning, natural language processing, deep learning, optimization techniques, etc.
Analytics tools: Experience with SQL, Python and/or R, data processing (Spark, Hadoop/Hive, etc.), machine learning libraries (scikit-learn, caret, etc.), GIS tools, data visualization (Tableau, PowerBI, various web app frameworks)
Experience building in-production models, including associated scripting, error handling and documentation.
Industry experience in real estate, retail, transportation is a plus, as well as geospatial analytics and/or consulting. Solid understanding of economic, financial, and general business concepts and terminology is required.
Strong people skills with both a client and team-orientation.
Demonstrated strong communication skills, both written and verbal, as well as listening. Must have experience probing for needs, providing an intellectual counterparty (e.g. devils advocate, challenge status quo, etc.) in a constructive manner, and communicating technical content in a concise and easy to understand way. Must also be articulate and have experience in presenting information and findings.
Excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes, and recommend plausible solutions.
Ability to utilize, create, and analyze GIS and other location-based data and analysis, a plus.
Tolerance for ambiguity required.
Must be available for overnight travel (approximately 10%) to any of Equitys major core markets, as required.
Authorization to work in the US (without need for Visa sponsorship from employer) is required.
REWARDS
We recognize that everyone has different needs outside of work. Thats why, in addition to a competitive benefits package (medical, dental, vision and paid time off), we offer many unique benefits options to employees, like pet insurance and paid time off for community service projects. To learn more, view our Total Wellbeing page here.
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CancelRetry | 4.3 | Equity Residential
4.3 | Chicago, IL | Chicago, IL | 1001 to 5000 employees | 1,993 | Company - Public | Real Estate | Real Estate | $2 to $5 billion (USD) | UDR, AvalonBay Communities, Essex Property Trust | 0 | 0 | 110 | 150 | 130 | Equity Residential
| IL | 1 | 27 | 1 | 0 | 1 | 0 | 1 |