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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 |
Data Scientist | $71K-$124K (Glassdoor est.) | Overview
Do you love numbers and finding the story in the numbers? Does the thought of tackling a complex data issue make you smile? Have you got a knack for solving problems? Do you want to help drive the results of a multi-million dollar business? If you have answered "yes" to these questions, the Data Scientist position at Strategic Financial Solutions may be the right fit for you.
Strategic is looking for an experienced Data Scientist with statistical and machine learning experience to join our Data Science Team, which produces models for prescriptive and predictive analytics. The person in this role would be responsible for conducting data analysis and developing predictive models by leveraging data science and machine learning to solve various business use cases, including marketing intelligence, customer segmentation, and predictive models for operations.
This is a great opportunity for someone who wants to learn all aspects of business as he/she will support our product, sales, leadership and marketing teams with insights gained from analyzing company and external data.
Candidates must have strong experience in a variety of data manipulation tools, data analysis/ mining methods to build and implement models and should be able to develop algorithms and simulation methods. A successful candidate will have the proven ability to drive business results with their data-based insights.
Responsibilities
Research and develop statistical and machine learning methodologies to solve complicated business problems
Work with stakeholders to identify opportunities by leveraging large data sets to drive business decisions. Collaborate with sales, marketing and senior executive teams for model development
Strong communication skills and ability to clearly present ideas and technical findings to key decision makers
Qualifications
Knowledge of statistical and machine learning techniques in regressions and classifications such as generalized linear models, classification trees, Random Forest, XGBoost, SVMs etc. Industry experience in such areas a definite plus.
Knowledge of stochastic process in terms of transaction matrix and equilibrium distribution, etc.
Experience in R, Python, and SQL, etc. and in variable selection and dimension reduction skills such as LASSO and PCA
Strong problem-solving skills with an emphasis on financial risk management in sales and marketing predictive analytics
Unsupervised learning experience such as k-means, hierarchical clustering, Bayesian network etc.
Excellent written and verbal communication skills for coordinating across teams
Graduate degree in Statistics, Data Science, Applied Math, Operations Research, Computer Science or other areas in STEM. Exceptional candidates with undergraduate degree will be also be seriously considered.
About Strategic:
Strategic Financial Solutions is a leading consumer finance company that specializes in helping people that have too much credit card debt. We were recently named the 21st Best Company to Work for in New York by Best Companies to Work For and have been certified as a Great Place to Work 4 times. Additional honors include being named, two times, as one of the 50 fastest growing companies in New York City and to the prestigious Inc. 500 list as one of the 500 fastest growing companies in the United States.
Please mark @talent.icims.com as a safe sender to ensure recruiter emails don't go to spam | 4 | Strategic Financial Solutions
4.0 | New York, NY | New York, NY | 501 to 1000 employees | 2,007 | Company - Private | Consumer Product Rental | Consumer Services | Unknown / Non-Applicable | National Debt Relief, Freedom Financial Network | 0 | 0 | 71 | 124 | 97.5 | Strategic Financial Solutions
| NY | 1 | 13 | 1 | 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 |
Data Scientist | $69K-$121K (Glassdoor est.) | DS/ML stack:
Languages: Python, Spark, SQL
Algorithms: Classifications, Regressions, Neural Networks, Time series, Graphs
Infrastructure: AWS (EMR, EC2, S3, etc)
Visualization: Tableau or similar
What will you do?
Develop and/or use various algorithms to build predictive models within a healthcare (e.g. risk of readmission to hospital).
Collaborates with business & product teams to understand their problems and goals, develop predictive modeling approaches, statistical analysis, data reports and performance metrics.
Performs analyses of structured and unstructured data to solve multiple and/or complex business problems using advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry.
Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions.
Use strong programming skills to explore, examine and interpret large volumes of data in various forms.
Comfortable reading academic oriented literature and collaborating with subject matter experts to inform better predictive models.
We are looking for someone with:
3+ year’s professional experience as a data scientist or machine learning engineer
1+ year’s professional experience working with big data and relational databases
Strong hands-on modeling experience building predictive models
Strong knowledge of advanced applied data science (machine learning, neural networks, etc.), mathematical modeling, computational, statistical, data mining techniques (regression, decision trees, clustering etc.), and dimensionality reduction techniques.
Strong experience with data manipulation, analysis and visualization.
Strong experience mentoring junior colleagues
Advanced degree in physics, applied mathematics, statistics or a related field is preferred
Healthcare industry experience is a plus
About Signify Health
Signify Health partners with leading health plans, healthcare providers, biotechnology and pharmaceutical companies, and technology companies to improve the quality of life by providing comprehensive care where and when it's needed most. In addition, Signify Health delivers software and services that enable payers, employers and at-risk providers to organize and finance healthcare delivery around a patient’s episode of care. With an innovative logistics and clinical workflow technology platform, exhaustive data set, and an unparalleled national clinical network, the company provides tech-enabled care services to vulnerable populations within the routine of their daily lives to improve health and quality of life. Signify Health delivers its services to partners at more than 1,000 healthcare locations nationwide and serves well over one million health plan members each year, providing health risk evaluations, complex care management, outcomes-based pharma services, and specialized medical services in the home and other convenient locations. Signify Health has multiple offices in Texas with additional locations in Connecticut, New York and South Dakota. To learn more, please visit www.signifyhealth.com. | 3.4 | Remedy BPCI Partners, LLC.
3.4 | New York, NY | Norwalk, CT | 201 to 500 employees | 2,011 | Company - Private | Health Care Services & Hospitals | Health Care | Unknown / Non-Applicable | Healthfirst (New York), naviHealth | 0 | 0 | 69 | 121 | 95 | Remedy BPCI Partners, LLC.
| NY | 0 | 9 | 1 | 0 | 1 | 1 | 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 |
Principal Data Scientist | $150K-$238K (Glassdoor est.) | Position Overview
The Climate Corporation is looking for an innovative Principal Data Scientist to lead the development and implementation of core AI solutions to impact the operations and foundations of The Climate Corporation’s Science at scale. Working with engineering and scientific leaders, you will set the strategic direction of productizing large scale scientific problems that inform our products and programs. The problems of scaling Agronomic Science via ML and DL are complex and challenging, and you will be leading excellence in Climate’s productization strategy. You will need to adopt an architectural vision and work with Machine Learning Engineers and Data Scientists in our team to accelerate the deployment and quality that our growers and enterprise receive. This is a cross-functional role in which you will collaborate with AI Researchers/Engineers as well as Data Engineers. We will remind you that you can do all this while having fun.
What You Will Do:
Architect and lead the tactical implementation on the productizing AI frameworks at scale informing Climate and Bayer products and programs
Provide strategic direction to accelerate the deployment of scientific innovation into efficient and robust ML/DL pipelines
Set the standards that take ML/DL capabilities to the next level at Climate and translate them into actionable projects shooting for operationalization excellence
Starting from ambiguous problem definitions, discover new business opportunities and implement optimal and scalable solutions that leverage multiple methodologies, technologies, and skill sets
Mentor and coach a team of talented data scientists and machine learning engineers to adopt an MLOps mentality that empowers the rest of the organization
Build trusted partnerships across the company. Enable functions by supporting them and leading new AI capabilities for the entire company
Required Qualifications:
Advanced degree in Statistics, Data Science, Computer Science, Math, Engineering, or other quantitative discipline
7+ years experience as a technical leader with exceptional hands-on experience in building AI capabilities
2+ years experience leading the execution of data-intensive projects in a cross-functional setting
Demonstrated experience implementing AI solutions working with a wide-array of data science and engineering infrastructure and relevant cloud solutions
Expert adopter of CD4ML to ensure quality in the ML/DL process
Natural team player and focused on customer needs
Preferred Qualifications:
In-depth knowledge of AI technologies and capabilities
Experience translating scientific frameworks into scalable AI solutions
Experience with MLOps best practices, tooling, and infrastructure
Interested in understanding Agronomic Science, Imagery, and Geospatial frameworks to investigate how it can be translated into scalable Data Science to better serve our customers and enterprise
What We Offer:
Our teams are composed of industry experts, top scientists, and talented engineers. The environment is extremely engaging and fast-paced, with dozens of specialties coming together to provide the best possible products and experiences for our customers.
We provide competitive salaries and some of the best perks in the industry, including:
Superb medical, dental, vision, life, disability benefits, and a 401k matching program
A stocked kitchen with a large assortment of snacks & drinks to get you through the day
Encouragement to get out of the office and into the field with agents and farmers to see first-hand how our products are being used
We take part and offer various workshops, conferences, meet-up groups, tech-talks, and hackathons to encourage participation and growth in both community involvement and career development
We also hinge our cultural DNA on these five values:
Inspire one another
Innovate in all we do
Leave a mark on the world
Find the possible in the impossible
Be direct and transparent
Learn more about our team and our mission:
The Climate Corporation - The Technology Behind Making A Difference
https://youtu.be/c5TgbpE9UBI or visit https://climate.com/careers
Climate aims to create a welcoming and collaborative environment for our employees in which a diverse set of perspectives and voices are represented and celebrated.
As part of our dedication to the diversity of our workforce, The Climate Corporation is committed to Equal Employment Opportunity and does not discriminate based on race, religion, color, national origin, ethnicity, gender, sex (including pregnancy), protected veteran status, age, disability, sexual orientation, gender identity, gender expression, or any unlawful criterion existing under applicable federal, state, or local laws. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@climate.com. | 3.2 | The Climate Corporation
3.2 | San Francisco, CA | San Francisco, CA | 501 to 1000 employees | 2,006 | Subsidiary or Business Segment | Enterprise Software & Network Solutions | Information Technology | Unknown / Non-Applicable | Granular, Intuit, John Deere | 0 | 0 | 150 | 238 | 194 | The Climate Corporation
| CA | 1 | 14 | 0 | 0 | 0 | 1 | 1 |
Data Scientist | $77K-$132K (Glassdoor est.) | Crossix is seeking intellectually curious, resourceful, and collaborative Data Scientists to join our Advanced Analytics team. This is an excellent opportunity to help us build the technology and data science products that power our business and be at the forefront of innovation in the healthcare technology space.
The team is guided by its core values as it works to solve the most challenging problems in healthcare data and analytics:
Singular Focus
Speed
Humility
Ownership
Challenge
What You'll Do
Apply machine learning, data mining, and statistical analysis techniques to large health and consumer data sets to build new products and methodologies
Collaborate closely with a team of data scientists, product managers, and executives to discover and deliver product offerings from prototype to massive scale
Rapidly build prototype product solutions, communicate findings, and iterate
Explore and find meaning in high volumes of data to evaluate data quality and extract actionable insights that will help drive business decisions; execute data querying, data cleansing, and experiment design
Draw from prior experience and technical expertise to identify product improvements and inform testing plans; break overall objectives down into underlying problems that can be prioritized and solved
Master core parts of the Crossix technology platform. Technologies include Spark, SQL, Python, R, AWS, and proprietary data mining software
Work with engineering and development teams to improve and implement features in Crossix's platform
What You've Done
Graduate level degree in quantitative discipline with at least 2 years of work experience; 6+ years of relevant post-collegiate work experience without graduate degree
Advanced knowledge and professional experience in statistical modeling, machine learning and data mining
Strong problem-solving skills with an emphasis on product development
Strong hands-on coding skills in statistical modeling programming languages such as R and Python
Advanced SQL skills; expertise in best practices and tools for interacting with large data sets
Experience with AWS for data-warehousing and processing is a plus
Excellent written and verbal communication skills
Who You Are
Have a desire and preference for working in a fast-paced, entrepreneurial environment
Enjoy having clear ownership of a goal even if the path to get there is not entirely clear
Have a curiosity to figure out new problems
Are humble and truly think about the success of the group before your own contribution
Are comfortable challenging existing norms, thinking and teammates, always doing so respectfully
About the Team – Crossix is the market leader in delivering hard-to-come-by insights that enable healthcare marketers to plan, measure, and optimize their marketing campaigns with confidence. Using our own proprietary technology and network of health and non-health data, our analyses pinpoint the tactics, programs, and channels that improve performance and boost sales, enabling better healthcare communications. And we do it all while protecting consumer privacy.
Leadership – With decades of combined experience and an unrivaled track record of healthcare innovation, our leadership team sets the standard for us. Their knowledge and expertise continually challenge us and the industry – through their work, their speaking engagements at conferences and their thought leadership published in the top industry publications.
Culture – We know that our employees set us apart. Along with competitive salaries and benefits, we invest in creating compelling opportunities for professional development and career growth. We also believe that diversity is essential to building an environment where everyone can feel they belong. We're continuously building an inclusive company where everyone feels welcome and heard. Come join our rapidly growing team!
We are an equal opportunity employer and welcome all qualified applicants regardless of race, color, religion, sex, gender identity, sexual orientation, marital status, ancestry, national origin, age, disability, genetic information, or veteran status. | 3.5 | Crossix Solutions
3.5 | New York, NY | New York, NY | 201 to 500 employees | 2,005 | Company - Public | Advertising & Marketing | Business Services | Unknown / Non-Applicable | -1 | 0 | 0 | 77 | 132 | 104.5 | Crossix Solutions
| NY | 1 | 15 | 1 | 0 | 1 | 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 |
Data Engineer - Consultant (Charlotte Based) | $59K-$112K (Glassdoor est.) | Do YOU love working with Data in machine learning, real-time analytics, or Big Data in a Cloud environment? Do you find that you want to choose other technologies but work for a vendor that limits the options that you can recommend? We are looking for a Data Expert to help us help our clients evaluate and implement big data and advanced analytics solutions in the Cloud. At Clarity Insights, we only provide Data & Analytics expertise. It’s all we’ve ever done and we love specializing in it and working on hard problems.
Clarity Insights is the largest independent professional services firm focused exclusively data analytics solutions. Our Data Engineering practice has one vision: to drive better business outcomes through data and analytics. We provide data analytics advisory and solution delivery consulting services. We believe that nothing sells like great delivery, and are committed to our people and client delivery excellence. With continuing, aggressive growth plans for the next five years, Clarity is seeking outstanding data analytics leaders to successfully qualify, propose, close and lead client solution delivery.
As a Data Engineer for Clarity Insights you will not only be building data pipelines to efficiently and reliably move data across systems, but also building the next generation of DW/Big data solutions to enable us to take full advantage of this data. In this role, your work will broadly influence our client’s data consumers and analysts. You will get the opportunity to work with focused and scaled objectives at high profiled clients that have some of the most challenging problems to take on.
Responsibilities
Hands-on self-directed engineer who enjoys working in collaborative teams.
Develops highly scalable, end to end process to consume, integrate and analyze large volume, complex data from sources such as Hive, Flume or Kafka.
Integrate datasets and flows using a variety of open source and best-in-class proprietary software.
Profile and analyze complex and large datasets.
Collaborate and validate implementation with other technical team members.
Coordinates and leads internal meetings.
Basic Qualifications
Bachelors Degree and 3+ years of work experience
Experience building processes around data transformation, data structures, metadata, dependency and workload management with object-oriented scripting languages such as Python or other object-oriented/object-function languages (such as Java, C++ or Scala) is required.
Strong SQL experience analyzing, transforming and integrating high volume, complex data sources with considerations for accuracy and efficient performance.
Experience transforming data out of and into Hadoop/Hive is preferred.
Fluency in Linux development and common development-related configuration tasks.
Demonstrated experience implementing custom ETL solutions in Data Warehousing environments.
Expertise creating efficient data structures with considerations for distribution, segmentation, colocation, etc., for ELT and analysis access paths; understanding of data management concepts such as 3NF, Dimensional, Data Vault, NoSQL/Key-value and their applications for data management and analysis.
Ability to analyze high volume data against business requirements to identify deliverables, gaps and inconsistencies.
Passion to build business driven, data solutions regardless of technology.
Excellent communication skills with the ability to identify and communicate data driven insights and technical approach.
Ability to contribute independently and self-manage delivery in a collaborative environment.
(Some travel required - 10-20%)
Why Clarity Insights, Why Consulting and Why Now?
We don’t try to be everything to everybody all the time. We specialize in Data & Analytics and will remain a platform and tool agnostic company so you can grow technically throughout your career. It sounds ridiculous but you actually need to be 100% technical and 100% business with strategy because we don’t hire non-communicative robots who have a one size fits all approach. We often could speak to a CFO or Head of Underwriting about a business or finance problem, and based on the need for real-time and affordable scalability, we can outline – in terms they can understand – why they should think about a cloud solution for big data and analytics. If we step across to the DevOps lab, we can easily pick up on a conversation about Apache committers, OSF, full stack development, microservices, containers and much more. We’re not trying to boil the ocean. We want to grow from 400 people to 1700 people in 4 years to take the market an accessible set of consulting skills. We have a lot of fun together. Most people join here and stay here for the people. That said, we are popular so we do rack up some travel miles. I have a million things to share about why that may change and why that must stay the same for now, but here’s a suggestion – if you LOVE Cloud Computing for Big Data and/or Advanced Analytics, Machine Learning, etc we should talk.
Clarity Insights is an Equal Employment Opportunity Employer. We believe in treating each employee and applicant for employment fairly and with dignity.
GLDR | 4.2 | Clarity Insights
4.2 | Charlotte, NC | Chicago, IL | 201 to 500 employees | 2,008 | Company - Private | IT Services | Information Technology | Unknown / Non-Applicable | -1 | 0 | 0 | 59 | 112 | 85.5 | Clarity Insights
| NC | 0 | 12 | 1 | 0 | 0 | 0 | 1 |
Data Analyst 1, full-time contract worker for up to 12 months | $35K-$65K (Glassdoor est.) | Purposes
In addition to your application, please follow the instructions & complete the a SQL assessment accessible through this link:
https://bit.ly/sql-test-church
The purpose of the Family History Department is to create inspiring experiences that bring joy to all people as they discover, gather, and connect their family—past, present, and future. Our quality standards guide the way we work. They are: inspiration, trust, kindness, effectiveness, and simplicity.
If our purpose statement and quality standards are something you believe in, we invite you to apply for this position. One of the expectations of employment in the Family History Department is a willingness to do Family History research and help others do the same.
Provide department leadership with reliable data from trusted source systems that will empower and influence key decision making. The incumbent will initiate queries on the database using different manipulations to obtain the information needed. With this data the analyst will need to interpret this information, translate it into a more usable format, and then communicate the findings to management. Incumbent will also manipulate data to include feedback from other parties. Much of the data this position works with is of a sensitive nature and must be safeguarded. The demands of this position require the incumbent to have an intuitive understanding of the systems worked with as well and the ability to develop innovative solutions to complex problems. This position’s customers demand timely and accurate data.
Incumbent may also be asked to participate in contract and compliance administration activities as described below.
Responsibilities
Conducts analysis of database and information for legal research purposes.
Ensures the accuracy of the information received, validates data quality, including sources, reliability completeness, validity and uniqueness to maintain the integrity of the process.
Works with and educates customers on research results.
Instructs employees concerning database content, interrelationships on database, interpretation of reports, and so forth. Incumbent must be able to teach the level of the customer, even on highly technical issues and be viewed as an ally.
Restructures data into usable formats (Excel, Pdf files, etc.) for customers.
Interfaces with work team to ensure that everyone has understanding of database processes to complete their work assignments.
Channels the data to where it is needed, builds queries, and completes quality assurance.
Builds data and reports that enables business leader to make informed decisions.
CONTRACT ADMINISTRATION: Supports supervisor with administering standard contract terms and ensuring compliance with standard contract conditions, rights, and obligations for archive agreements and projects. Assists in coordinating and confirming agreement to amendments. Processes executed contracts to manage tracking of terms through electronic document management systems.
COMPLIANCE ADMINISTRATOR: Applies standard rules that ensure business is conducted in full compliance with all applicable national and international laws and regulations for the purposes of managing risk.
Qualifications
Education and Work Experience: BS/BA Degree in Mathematics, Statistics, Data Science, or a related field plus a minimum 0-2 years performing single system data validation, quality assessments, and configuration of reports OR no degree w/6 years’ experience performing single system data validation, quality assessments, and configuration of reports.
Writing of queries, and reports, using SQL
Advanced MS Office Product Suite skills, specifically Excel and Access.
Knowledge of database design principles.
Understanding of ETL (Extract, Transform, Load).
Experience in business requirement gathering and process improvement analysis.
Seeing and understanding the story the data tells.
Works with minimal oversight and meets established deadlines
Delivers defined projects with moderate oversight
Problem solving, debugging/troubleshooting and the designing and implementation of solutions to complex issues.
Thrive in both team environment and as an individual contributor
Worthiness Qualification
Must be a member of The Church of Jesus Christ of Latter-day Saints and currently temple worthy.
Posting Notice/More Info.
Please Note: All positions are subject to close without notice.
Find out more about the many benefits of Church Employment at http://careers.churchofjesuschrist.org.
#LI-EW1
]]> | 4.2 | The Church of Jesus Christ of Latter-day Saints
4.2 | Salt Lake City, UT | Salt Lake City, UT | 10000+ employees | -1 | Nonprofit Organization | Religious Organizations | Non-Profit | Unknown / Non-Applicable | -1 | 0 | 0 | 35 | 65 | 50 | The Church of Jesus Christ of Latter-day Saints
| UT | 1 | -1 | 0 | 0 | 0 | 1 | 1 |
Data Engineer | $79K-$147K (Glassdoor est.) | WHO WE ARE
NCSOFT® established in 1997 and headquartered in Seoul, South Korea, is one of the leading gaming publishers in the world. At NCSOFT West, we develop new games, manage our existing game portfolio, initiatives and game services across the Americas, Europe, Australia and New Zealand. Together we operate many of the most successful and influential massively multiplayer online games in the industry, welcoming hundreds of millions of players daily into exciting living worlds for extraordinary adventures.
We are looking for a savvy Data Engineer who is eager to continually improve their skills, learn new technologies and is willing to take initiative beyond basic responsibilities
WHAT YOU'LL DO
As a Data Engineer, you'll be responsible for gathering and collecting data, storing it, doing batch processing or real-time processing on it, and serving it to data scientists and data analysts to easily query.
RESPONSIBILITIES:
Understanding data source (10%)
Develop data processes for construction, mining, and modeling that are delivered to the data analyst/science team (30%)
Create large data warehouses by running some ETL (Extract, Transform and Load) that is used for analysis by the analyst/scientists (30%)
Install continuous pipelines of huge pools of filtered information so that data analyst/scientists can pull relevant data sets for their analyses (20%)
Develop, construct, test and maintain architectures such as databases and large-scale data processing systems (10%)
REQUIREMENTS:
BS in Computer Science or equivalent experience
3+ years of day-to-day working experience as data engineer
Experience with object-oriented and functional programming languages: Python, Scala etc.
Experience with RDBMS (MS-SQL, MYSQL etc.) and NoSQL (MongoDB, DynamoDB etc.)
Experience with Big Data query and application knowledge: Hive, Impala, Fluentd, Spark, Sqoop, Pig etc.
Experience with ETL and data integration tool : Airflow, Informatica PowerCenter
Experience with AWS cloud services: EC2, S3, EMR, Glue, RedShift, Athena etc.
Proficiency in general database administration concepts and efficient query writing
Excellent verbal and written communication skills
This is a full time, on-site position at our office in Aliso Viejo, CA. A casual, friendly work environment, a comprehensive benefits package, a competitive salary, and more are all part of what makes NCSOFT West a great place to work. | 3.1 | NCSOFT
3.1 | Aliso Viejo, CA | Seoul, South Korea | 1001 to 5000 employees | 1,997 | Company - Public | Video Games | Media | $10+ billion (USD) | Blizzard Entertainment, Riot Games, Electronic Arts | 0 | 0 | 79 | 147 | 113 | NCSOFT
| CA | 0 | 23 | 1 | 0 | 1 | 1 | 1 |
Scientist, Immuno-Oncology | $62K-$119K (Glassdoor est.) | Site Name: USA - Massachusetts - Cambridge
Posted Date: Mar 24 2020
Are you energized by a challenging role in immuno-oncology, where scientific demand is driving team growth? If so, this Scientist would be a great opportunity to consider.
The Immune Biology Group within GSKs Immuno-Oncology & Combinations Research Unit (IOC RU) is seeking a scientist with experience in oncology or immunology to join our team.
In this role, you will be responsible for conducting innovative research designed to identify and validate immune-based therapies for cancer.
Responsibilities include:
Deliver critical path biology results to support GSKs pipeline of diverse cancer immunotherapies from early discovery to first-time-in-human commitment.
Establish and expand internal wet lab capabilities at a growing GSK site.
Actively participate in building and maintaining drug discovery relationships with partners in Oncology and other business units.
Work within a dynamic and collaborative environment to deliver high-quality scientific data packages to meet experimental and organizational goals.
Why You?
Basic Qualifications:
We are looking for a professional with these required skills to achieve our goals:
Bachelors degree in biology, immunology or related field with 3+ years of experience.
Strong scientific background in immunology or oncology research, with a focus on bioassay development to functionally characterize biologics and/or small molecules.
Demonstrated hands-on ability to conduct and analyze experiments to investigate mechanisms of action for multiple drug candidates and their combinations.
Ability to interpret data clearly both verbally and in documents and present results in an organized and concise manner.
Strong communication skills and open-mindedness to conduct research in a cross-functional team environment.
Ability to prioritize, manage time efficiently, and implement creative solutions to meet program needs.
Commitment to continual improvement by reading and applying the latest scientific literature, methodologies and technology where appropriate.
A high level of integrity and desire to develop transformational medicines that bring benefit to patients.
Preferred Qualifications:
If you have the following characteristics, it would be a plus:
Masters degree in biology, immunology or related field.
2+ years pharmaceutical or biotechnology industry research experience working in matrixed drug discovery project teams.
Research expertise in immunology with focus on functional characterization of T and/or myeloid cells.
Demonstrated ability to design and execute research projects independently.
Please use the cover letter to highlight how you meet the competencies for the role. Your cover letter along with your CV will be used to assess your application. Thanks for your interest in this opportunity.
Why GSK?
Our values and expectations are at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities:
Operating at pace and agile decision-making using evidence and applying judgement to balance pace, rigor and risk.
Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution.
Continuously looking for opportunities to learn, build skills and share learning.
Sustaining energy and well-being.
Building strong relationships and collaboration, honest and open conversations.
Budgeting and cost-consciousness.
*LI-GSK
If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).
GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.
Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSKs compliance to all federal and state US Transparency requirements. For more information, please visit GSKs Transparency Reporting For the Record site. | 3.9 | GSK
3.9 | Cambridge, MA | Brentford, United Kingdom | 10000+ employees | 1,830 | Company - Public | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $10+ billion (USD) | Pfizer, AstraZeneca, Merck | 0 | 0 | 62 | 119 | 90.5 | GSK
| MA | 0 | 190 | 0 | 0 | 0 | 1 | 0 |
Senior Data Scientist | $119K-$187K (Glassdoor est.) | At Factual we love all things data! Our mission is to organize and optimize the world's location information. As a Data Scientist, you will have the opportunity to shape and influence the direction of our products and propel the growth of our business. You will collaborate with a diverse team of software engineers and data analysts to optimize our current machine learning models and pipelines while also developing creative, data-based solutions. You will be working on many different projects, ranging from scoring the popularity of a place at a given time to pairing anonymized geolocation data with real-world place visits.
About you:
You are passionate about using your programming, data wrangling, and analytical expertise to drive product and business decisions. You are a skilled communicator that will provide thought leadership on metrics, features, and products to teams across the company. You have strong engineering experience and enjoy working in a rapidly changing environment. And most of all: you ship.
What you'll do:
Build models to solve a wide range of location data problems
Design experiments and work with fellow engineers to ensure thoroughness and correctness on a variety of analyses
Use and commit to our data processing software and frameworks
Author specification and lead technical projects
Propose creative strategies based on data-driven insights
What we're looking for:
4+ years of industry experience maintaining production machine learning pipelines and using data science to solve business problems
Deep understanding of machine learning concepts and algorithms - particularly classification, clustering, and supervised learning.
Expertise with Python/Scala/Java
Familiarity with distributed programming with Spark or MapReduce
Applied knowledge of Statistics (we really value people who can handle uncertainty and variance)
Willingness and ability to wrangle messy data
An advanced degree in a quantitative field (Math, Statistics, Computer Science)
Excellent oral and written communication skills
Cover letters will be greatly appreciated! Thanks! | 4.3 | Factual
4.3 | Los Angeles, CA | Los Angeles, CA | 51 to 200 employees | 2,008 | Company - Private | Computer Hardware & Software | Information Technology | Unknown / Non-Applicable | Foursquare | 0 | 0 | 119 | 187 | 153 | Factual
| CA | 1 | 12 | 1 | 0 | 1 | 0 | 1 |
Products Data Analyst II | $90K-$157K (Glassdoor est.) | TriNet is a leading provider of comprehensive human resources solutions for small to midsize businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic partner and allowing them to focus on operating and growing their core businesses. Our full-service HR solutions include features such as payroll processing, human capital consulting, employment law compliance and employee benefits, including health insurance, retirement plans and workers’ compensation insurance.
TriNet has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you’re passionate about innovation and making an impact on the large SMB market, come join us as we power our clients’ business success with extraordinary HR.
#LI-VB1
Job Summary/Overview
As a Data Analyst in the Products Organization, you will promote leveraging data and metrics to support the full product lifecycle from discovery through adoption and beyond. This is a ‘hands on’ role and will require responsibility for all aspects of delivery (e.g. developing custom reports and dashboards) and engagement across the enterprise data community to partner on data and solutions. Skills in joining diverse sets of data from a variety of sources will be critical.
The products data analyst will support a variety of data use cases, from defined dashboards and scorecards, to data-as-a-service, to ad-hoc analysis requests. One key set of customers are Product Managers who need support to collect the right analytics, manage data privacy constraints, analyze data, plan live data tests, and interpret the results. This will include tasks such as creating time series, correlating events and variables, and building predictive models. They’ll also need dashboards and scorecards to assess product health and trends from reliable, consistent data sources. You’ll help generate and evolve key metrics and trending indicators to support product assessment. You’ll also be responsible for creating and maintaining organizational level dashboards and scorecards in partnership with the corporate data community.
The ideal candidate is self-driven, thrives on new problem spaces, can connect data and business problems. You love using data to tell a story and excel at turning data into visual pictures. You have a skeptical eye that always wants to see the data behind the answer and you’re the first one to think about outer join relevance, however you also have a positive attitude and the confidence to keep digging.
Key to your success will be your ability to partner with product managers and TriNet’s diverse data community to drive solutions. You will leverage and share tools, data sets, and insights to help build up the data practice within the Products Team and across TriNet.
Essential Duties/Responsibilities
• Responsible for gathering and assessing product information needs and preparing data requirements
• Guide key business strategy and product decisions through the end-to-end formation and ownership of advanced data analysis
• Work closely with various product teams to clearly define problem statements and success metrics
• Identify appropriate data sources to address problem statements; develop new sources when needed; join diverse data sets, creating co-relations and structures to yield powerful insights
• Collect, record, sanitize, and analyze data using best-in-class practices
• Collaborate with internal and external partners to design and perform experiments (including product discovery experiments) and follow through with validation of results against hypotheses
• Deduce meaningful insights from data analysis, and translate into easily interpretable but powerful data visualizations; synthesize learnings to create standardized data collection and analysis approaches and build a library of referenceable data visualizations
• Educate product managers and internal partners about data analysis techniques and processes; become a “data librarian” of sorts, to act as the go-to person for Product Managers to understand what data is available across the organization, and for partners to understand what data is available from products
• Partner across organization to develop procedures for collecting, recording, analyzing, and communicating data
• Provide User Training with key constituents to drive adoption of data methods, tools, and practices
Job Requirements & Qualifications
• Thorough understanding of data models and data modeling concepts
• Familiarity with utilizing different types of data, including clickstream data, usability data, and/or other behavioral data
• Excellent communications and presentation skills with ability to adjust communication styles depending on type of target audience
• Exceptional skills in creating data-based visualizations
• Exceptional teaming skills and ability to excel in matrix work environment where requirements can be often ambiguous
• Ability to handle moderately complex projects involving integration with diverse technologies and data sets
• Ability to work, collaborate, and lead cross-functional teams to support deadlines
• Ridiculous Excel and/or SQL skills
• Working knowledge of Tableau, R, Erwin, ETL, Oracle, MongoDB, and SAS platform, or similar data-related experience
• Strong aptitude for learning new technologies
Work Environment/Other Info
• Bachelor's or Master's degree, preferably in Statistics, Economics, Operations Research, Data Science, or equivalent
• 4 years of experience driving results through data in a complex data-rich environment
• Demonstrated operational acumen a plus
• Experience in products-driven environment a plus
• Mathematics or Statistics background a plus
• Experience analyzing clickstream and usability metrics a plus
• Possesses a keen style of communication and presentation in order to translate the data effectively to all team members.
TriNet is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact recruiting@trinet.com to request such an accommodation.
Please Note: TriNet reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing. Position functions and qualifications may vary depending on business necessity.
TriNet is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact recruiting@trinet.com to request such an accommodation. | 3.3 | TriNet
3.3 | Dublin, CA | Dublin, CA | 1001 to 5000 employees | 1,988 | Company - Public | Consulting | Business Services | $2 to $5 billion (USD) | Paychex, Insperity, ADP | 0 | 0 | 90 | 157 | 123.5 | TriNet
| CA | 1 | 32 | 0 | 0 | 0 | 0 | 1 |
Lead Data Analyst | $32K-$62K (Glassdoor est.) | JOB DESCRIPTION:
Signpost is looking for a Lead Data Analyst to join our team! This is a senior position reporting to the Senior Director of Data and Architecture who will work closely with Sales Operations, Customer Service Operations, and Finance.
Signpost is a rapidly growing startup that helps local businesses succeed by automating as much of their marketing as we can. We're solving a big problem in a huge market and we're backed by some of the smartest investors out there, including High Bar Partners, Georgian Partners, Google Ventures and Spark Capital. We need talented, passionate and disciplined leaders who are looking for a challenge worthy of them at a place where they can learn, grow, and have real ownership.
Our people are our most important asset, and we're assembling a team of strategic and critical thinking power houses that can work directly with our executive team on business operations, strategy and data analysis.
Who you are:
Obsessed with driving business insights from data
Can develop strategies and the roadmap to get us there
Are looking for a job that is high impact and fast paced and gives you exposure across the entire company
Want to contribute as a visionary, working with sales, account management, product management, engineering, and finance on delivering long-term results and solutions
What you'll do:
Set up process to track, monitor and analyze the key drivers of the business
Regular reporting of leading and lagging indicators against targets
Develop insights and recommend actions
Conduct deep dive analytical projects based on insights
Track and report on company KPI's vs. financial plan
Communicate financial trends with Executives and relevant stakeholders
Develop materials for Board of Director meetings
Drive productivity enhancements and efficiencies in our revenue organization
Develop and maintain variable compensation plans
Project manage process improvement initiatives
Collaborate with other departments (finance, marketing, engineering, product, etc.) to optimize processes
You should have:
Exceptional data modeling and SQL skills
4+ years of strategy consulting, investment banking, or start-up operations experience
Top tier undergrad degree
Ability to derive insight and conclusions from complex datasets
Action-oriented, self-starter with a strong work ethic
Strong communication, presentation and problem solving skills
Track record of outstanding results at your former employers | 3.9 | Signpost
3.9 | New York, NY | New York, NY | 201 to 500 employees | 2,010 | Company - Private | Internet | Information Technology | $10 to $25 million (USD) | -1 | 0 | 0 | 32 | 62 | 47 | Signpost
| NY | 1 | 10 | 0 | 0 | 1 | 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 |
Data Science Engineer - Mobile | $116K-$208K (Glassdoor est.) | Mobile is a top strategic priority for Adobe. Digital Media GTM Data Science and Analytics team is looking for Data Science Engineer - Mobile, who is the full-stack data specialist and can help us build scalable data platform, pipeline, and analytics solutions that will drive the success of our Mobile business across Creative & Document Cloud businesses across customer journey from acquisition, engagement, to retention.
This is a fast-paced business environment that will draw on your excellent communication skills, your ability to multi-task and perform under pressure, your superior data analytics & engineering skills and able to work in a team environment. Candidate needs to be very organized, have a ‘can do’ attitude, and have an internal strong sense of urgency.
A successful Data Scientist Engineer - Mobile contributes to the achievement of the Digital Media Go-To Market objectives by:
Architect, build, and maintain scalable data pipeline for our reports, dashboard, analytics solution, and data products e.g. scalable Machine Learning etc.
Build, architect, and maintain data models/data marts for Digital Media GTM
Partner with various business partners, business analysts, and data scientists to understand metrics, critical metric, and analytics need to define data needs.
Partner with data scientists and data science teams to build predictive, forecasting, and prescriptive model to tackle critical business challenges
Partner with business analysts and data scientist to drive business insights and recommendation through reliable recurring reports, dashboard, and in-depth analytics
Be a data specialist that owns data quality. Monitor, QA, maintain pipeline, and other data engineering/science team to validate data flow and ensure data quality
Work with data infrastructure to triage infra issues and drive to resolution.
What is needed to succeed!
3 - 5 yrs of experience with a BA/BS in Computer Science, Engineering, Mathematics or other technical fields. Master is preferred
Experience in building and maintaining large data pipeline, data warehouse, and complex reporting/analytics solution
A strong proficiency in querying and manipulating large data sets for analytical purposes using SQL-like languages (Hive / Hadoop experience preferred)
Experience with Hadoop and related technology stack such as Hive, Oozie, Pig etc.
Experience with Data warehouse design and dimensional modeling
Experience in driving analysis and business insights out of complex large data environments to solve business problems
Experience in Data Visualization tools, preferably, Tableau and Power BI
Experience and ability to QA multiple data sources
Experience with programming language such as Python, Java, etc.
Preferred Skills!
Experience building Machine Learning, Data Science, and statistical models
Experience in Mobile SaaS analytics on iOS or Android. Proven familiarity with in-app purchase mechanisms on either platform
Experience with third party mobile analytics platforms/tools e.g. Branch, App Annie, Apple App Store Connect, Google Play Console etc. is a plus
Experience/Knowledge in a SaaS or Subscription Business model environment
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status. | 4 | Adobe
4.0 | San Jose, CA | San Jose, CA | 10000+ employees | 1,982 | Company - Public | Computer Hardware & Software | Information Technology | $5 to $10 billion (USD) | Apple, Microsoft | 0 | 0 | 116 | 208 | 162 | Adobe
| CA | 1 | 38 | 1 | 0 | 0 | 0 | 1 |
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 |
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 | $86K-$144K (Glassdoor est.) | About Swiss Re
The Swiss Re Group is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. It anticipates and manages risk – from natural catastrophes to climate change, from ageing populations to cybercrime. The aim of the Swiss Re Group is to enable society to thrive and progress, creating new opportunities and solutions for its clients. Headquartered in Zurich, Switzerland, where it was founded in 1863, the Swiss Re Group operates through a network of around 80 offices globally. It is organised into three Business Units, each with a distinct strategy and set of objectives contributing to the Group’s overall mission.
About Swiss Re
The Swiss Re Group is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. It anticipates and manages risk – from natural catastrophes to climate change, from ageing populations to cybercrime. The aim of the Swiss Re Group is to enable society to thrive and progress, creating new opportunities and solutions for its clients. Headquartered in Zurich, Switzerland, where it was founded in 1863, the Swiss Re Group operates through a network of around 80 offices globally. It is organized into three Business Units, each with a distinct strategy and set of objectives contributing to the Group’s overall mission.
About the role
We are seeking a highly motivated, experienced data scientist to join a global team of analytics professionals who support the digital transformation of Swiss Re and the insurance industry. You will be primarily based in Armonk with the possibility to occasionally work from other Swiss Re offices (e.g. New York City) and collaborate with stakeholders around the globe.
Your main responsibilities are:
Work closely with internal stakeholders and clients to ideate, develop and deploy innovative analytics solutions
Develop a deep understanding of the business problem to derive suitable analytics approaches and requirements
Build prototypes to validate desirability, viability and feasibility of the proposed approach
Validate, interpret and present findings and solutions to both expert and non-expert audiences
Support full deployment of analytics solutions into operational environments
Continuously monitor relevant industry and technology trends to ensure further development of Swiss Re's analytics capabilities
Promote and share digital & smart analytics knowledge, skills and services internally and externally to drive the digital transformation of Swiss Re and the insurance industry
About the team
The Digital & Smart Analytics (DSA) team supports Swiss Re's business functions and clients in developing state of the art technology solutions leveraging our advanced analytics and data engineering capabilities. DSA works with all business units to implement Swiss Re's tech strategy by generating unique insights, improving operational efficiency and developing new technology driven value propositions. Our integrated global team of analytics consultants, analytics specialists and data engineers enables us to facilitate end-to-end solutions delivery from ideation and prototyping to deployment and run. As Swiss Re's center of competence for smart analytics, DSA further enables the proliferation of advanced data handling capabilities throughout the company.
About You
Technical Requirements:
Advanced degree (master's degree or PhD) with quantitative background (data science, applied mathematics or statistics, computer science, engineering, econometrics or another related field)
2-4 years of experience in analytics (machine learning, statistics, natural language processing, computer vision, information retrieval) in research and/or corporate environment.
Experience in at least one scripting or programming language (e.g. Python, R, Matlab, Perl, Java), proficiency in relational databases and SQL (experience with large data sets and distributed computing is a plus).
High level of analytical problem-solving skills and ability to assimilate complex information as well as experience in building and deploying innovative solutions
Excellent English language skills, other languages (e.g. German, Spanish, Chinese) are a plus
Flexibility to travel
Soft Skills:
Team player with strong interpersonal skills and experience of working in cross-functional teams
Ability to communicate complex problems with clarity and effectiveness to expert and non-expert audience
Ability to initiate and drive projects to completion with minimal guidance
Track-record of creative problem solving as well as openness and curiosity to learn
Swiss Re | 3.7 | Swiss Re
3.7 | Armonk, NY | Zurich, Switzerland | 10000+ employees | 1,863 | Company - Public | Insurance Agencies & Brokerages | Insurance | $10+ billion (USD) | Munich Re, Hannover RE, SCOR | 0 | 0 | 86 | 144 | 115 | Swiss Re
| NY | 0 | 157 | 1 | 0 | 0 | 0 | 1 |
Senior Data Scientist | $102K-$165K (Glassdoor est.) | Sartorius Stedim Data Analytics, a market leader in advanced analytics and provider of Umetrics Suite of Data Analytics Solutions, is on a strong growth path driving new innovative solutions in the field. It currently has an outstanding opportunity for a Senior Data Scientist to drive customer applications, support the Sartorius sales teams and feedback customer needs into the development of new solutions. The incumbent for this key role will have a strong customer focus to help secure innovation and growth from both new and existing customers.
What you can look forward to
Assisting customers in solving business related problems using advanced data analysis and data driven technologies
Supporting implementation of advanced analytics in industry
Analyzing large amounts of data and building data driven models
Initiating, leading and driving customer projects
Training customers on the use of our software
Supporting sales (pre/post)
Supporting marketing & development
Performing regular follow up with customers to track satisfaction, secure project momentum and discover additional opportunities
Creating technical documents
Attending and presenting at conferences, seminars and forums
Developing & cultivating strong relationships with external and internal stakeholders
Being part of a team of data scientists
Skills and experience
Minimum a master’s degree in a relevant field (engineering, life sciences, informatics, automation/control, etc.), Ph.D. preferred
Minimum five years’ work experience within Biopharma or Pharma
Minimum five years’ working knowledge of applied statistics including MVDA, DOE, MSPC, PAT, QbD, Model Predictive Control (MPC), MMPC, AI/Machine learning
Strong bioprocess knowledge preferred
Familiarity with Umetrics Suite of Data Analytics Solutions preferred (MODDE, SIMCA, SIMCA-online, Control Advisor, Active Dashboard)
Working knowledge of prescriptive analytics preferred
Working knowledge of Python scripting preferred
Working knowledge of MATLAB, data historians and control strategies a plus
Teaching, consulting and project management experience preferred
Excellent communications skills, strong presentation skills
Comfortable working independently
Comfortable working from home office, willingness to travel (~25%)
Strong identification with Sartorius core values: sustainability, openness, enjoyment
Driving our future growth requires talented people. Sartorius is a dynamic organization suited to people who want to showcase skills, be recognized for expertise and thrive in a vibrant and innovative environment.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin. We are also an equal opportunity employer of individuals with disabilities and protected veterans.
Please view equal employment opportunity posters provided by OFCCP here
https://e-verify.uscis.gov/esp/media/resourcesContents/EverifyPosterEnglish.pdf
https://e-verify.uscis.gov/esp/media/resourcesContents/EverifyPosterSpanish.pdf
https://e-verify.uscis.gov/esp/media/resourcesContents/WebBPPOSTERRtoWEnglishversion.pdf
https://e-verify.uscis.gov/esp/media/resourcesContents/WebBPPOSTERRtoWSpanishversion.pdf
Interested? Driving our future growth requires talented people. Sartorius is a dynamic organisation suited to people who want to showcase skills, be recognised for expertise and thrive in a vibrant and innovative environment.
To find out more about Sartorius as an employer visit us on Sartorius Careers
Become part of our global team. | 3.5 | Sartorius
3.5 | Arvada, CO | Gottingen, Germany | 5001 to 10000 employees | 1,870 | Company - Public | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $1 to $2 billion (USD) | -1 | 0 | 0 | 102 | 165 | 133.5 | Sartorius
| CO | 0 | 150 | 1 | 0 | 0 | 0 | 1 |
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 Engineer | $76K-$142K (Glassdoor est.) | Sr. Data Engineer FTE for Franklin
There are many powerful big data tools available to help process lots and lots of data, sometime in real- or near real-time, but well-architected and implemented systems and applications will give an organization an edge over others. We are looking for a Senior Data Management Engineer with excellent technical qualifications and a passion for creating high performing and scalable data systems who will be able to fully participate in the team discussion in designing and architecting solutions, making sure many aspects of the problem, both current and future, are taken into consideration and help lead the team to correctly implement those plans in a fully automated and scalable way.
Cool Stuff You Get to Do in this Role:
Build high performing and scalable data systems, applications, and pipelines to process very large amounts of data from multiple source
Collaborate on Big Data systems, and features within an Agile environment
Collaborate with cross-function teams of developers, senior architects, product managers, DevOps, and project managers
Drive continuous delivery initiatives to production for all systems
Agile Delivery actively engages as part of the scrum team
Deliver solutions that are devoid of significant security vulnerabilities
Requirements:
Bachelor's degree or equivalent work experience
4+ years experience in enterprise data management, Hadoop, Big Data, DevOps, and Cloud based systems (Azure, AWS)
4+ years experience with CI/CD Workflows
4+ years' experience with Linux Operating Systems, Java/JavaScript Technologies
4+ years' experience with ETL Tool, Pentaho experience a plus
Healthcare data experience preferred along with knowledge of HIPAA/HITECH compliance
HITRUST common security framework knowledge preferred. | 3.2 | Equian LLC
3.2 | Franklin, TN | Indianapolis, IN | 1001 to 5000 employees | 2,004 | Company - Private | Health Care Services & Hospitals | Health Care | Unknown / Non-Applicable | -1 | 0 | 0 | 76 | 142 | 109 | Equian LLC
| TN | 0 | 16 | 0 | 0 | 0 | 1 | 1 |
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 |
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 |
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 |
Machine Learning Engineer | $91K-$159K (Glassdoor est.) | We are seeking a highly-experienced ML Engineer to join our team building advanced Business Intelligence, Machine Learning, and Data Processing applications.
Your Impact
As a Backend Engineer, you will develop advanced tools that allow our customers to build highly-sophisticated Business Intelligence applications for their stakeholders. You will work as a member of an engineering “feature team,” responsible for delivering value to our customers. In this role, you will design, implement, and deliver enterprise-grade machine learning applications for both internal- and external-facing consumers. You will be part of a dynamic team of engineers who are developing cutting edge technology that fuels the premier BI platform in the industry. Your work will be deployed to production and used by dozens of major corporations such as FedEx, US Bank, and Mastercard to help drive their business goals and service their customers.
While mostly focusing in ML models productizing and data processing you will be expected to contribute to the model development. You believe that good design is the key to good coding -- “measure twice, cut once.” You write excellent-quality code (if you do say so yourself), and understand how to best practices of SW architecture, development and testing.
Responsibilities
Collaborate with the product owner, technical lead, product designer, and other stakeholders to design, prototype and develop enterprise-class data intensive applications.
Maintain existing code and make improvements to increase maintainability, performance, and scalability.
Support software rollouts to production.
Constantly improve code quality and test coverage.
Understand full-stack dependencies to minimize regressions and attain improved designs.
Guide and mentor junior engineers. Serve as team lead if appropriate.
Qualifications
BS/MS degree in Computer Science, Computer Engineering, or a related subject.
5+ years of demonstrated experience in Python.
In-depth knowledge of Python data processing and machine learning libraries.
Experience with and understanding of the Python ML frameworks such as TensorFlow and PyTorch
Experience with API design & development
Understanding of the data layer integration (both SQL and no-SQL)
Experience with cloud deployments is a plus
Understanding AWS / Azure / GCP data ETL capabilities is a plus
Experience with C/C++, Java and/or Scala plus.
Passion for writing well structured, testable code with a focus on readability and maintainability.
Experience with open source CI tools is a plus.
Data modeling experience is a plus.
Excellent communication skills.
Information Builders helps organizations transform data into business value. Our software solutions for business intelligence and analytics, integration, and data integrity empower people to make smarter decisions, strengthen customer relationships, and drive growth. Our dedication to customer success is unmatched in the industry. That’s why thousands of leading organizations rely on Information Builders to be their trusted partner. Founded in 1975, Information Builders is headquartered in New York City, with offices around the world, and remains one of the largest independent, privately held companies in the industry.
Information Builders, Inc. is an Equal Opportunity Employer: All qualified applicants will receive consideration for employment and will not be discriminated against based on their race, gender, disability, veteran status, or other protected classification.
#LI-LO1 | 3.2 | Information Builders
3.2 | New York, NY | New York, NY | 1001 to 5000 employees | 1,975 | Company - Private | Computer Hardware & Software | Information Technology | Unknown / Non-Applicable | Qlik, Tableau Software, Informatica | 0 | 0 | 91 | 159 | 125 | Information Builders
| NY | 1 | 45 | 1 | 0 | 0 | 1 | 1 |
Sr Expert Data Science, Advanced Visual Analytics (Associate level) | $80K-$133K (Glassdoor est.) | Posting Title
Sr Expert Data Science, Advanced Visual Analytics (Associate level)
01-Apr-2020
Job ID
293312BR
Job Description
Advanced Visual Analytics (AVA) defines the science of data-driven human analytical reasoning enabled by advanced interactive visual interfaces.
We’re looking for a Data Scientist/ Sr Expert , Advanced Visual Analytics (Associate level) specialized in creating advanced data visualizations that will make the user think like a data scientist, without being a data scientist.
The ideal candidate enjoys working in a multi-disciplinary team to design and implement innovative, dynamic visualizations, and cutting-edge visual data analytics solutions, including interactive visual interfaces, in an agile and fast-paced environment.
This includes working alongside diverse teams of product owners, data scientists, data engineers and business analysts to, reimagine workflows, enhance business processes, and improve program design through insightful data explorations and advanced analysis with AI techniques including machine learning.
You will also work closely with project teams to assess, define and implement improved business processes. Over time, you’ll be expected to evolve your role to directly help internal customers move from simple, pre-existing business intelligence solutions to forward-looking “what’s next” capabilities enhanced by advanced visual analytics enabled by more advanced predictive and prescriptive tools.
Major Accountabilities:
• Perform extensive visual data explorations and profiling of data from diverse use cases. • Work under the supervision of senior Data Science staff, or directly with product teams and/or customers to define product and visualization requirements. • Support product delivery on DSAI projects, technical and non-technical including partnering with subject matter experts on project execution. • Provide support to developers by gathering and or clarifying data and visualization requirements from product and business owners. • Explore existing data repositories to understand what data are where so you can leverage those data to create advanced visualizations, product front-ends and for other analyses. • Prepare documentation to guide and educate users so they better understand their visualization needs now, and as they evolve over time. • Support project leaders and senior data science colleagues to link visualization needs to existing products and help identify solutions that provide best business value to the customer. • Develop custom reports and data visualization products using large data sets to transform data into actionable insights • Embrace culture change.
Minimum requirements
Master’s degree (PhD preferred) in a quantitative science field (e.g., Mathematics, Statistics, Computer Science, Engineering or related discipline)
2+ years of hands-on experience with data analysis (i.e., statistical and quantitative analyses) and in particular user-focused advanced visualization/dashboard design - expertise in R, Python, MLlib, Matlab, SAS, SPSS or equivalent data science languages and packages - experience in working with large datasets and relational databases (SQL), ideally in conjunction with BI tools (e.g., Tableau, PowerBI, Qlik-View) - knowledge of additional programming languages is a plus (C++, Java) - experience with User Experience (UX) design and Design Thinking
Job Type
Full Time
Country
USA
Work Location
Cambridge, MA
Functional Area
BD&L & Strategic Planning
Division
CORPORATE
Business Unit
DIGITAL OFFICE
Employment Type
Regular
Company/Legal Entity
Novartis Corporation
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 | 80 | 133 | 106.5 | Novartis
| MA | 0 | 24 | 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.
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
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 |
IT Associate Data Analyst | $39K-$69K (Glassdoor est.) | Monday, November 25, 2019
Our Personal Lines Operations department is seeking a Technical Analyst to join our growing team in our Worcester office.
Position summary:
This person will communicate with customers, IT and key stakeholders on the status of automations (issues and required maintenance) as well as the productivity of the digital workforce. Provide triage support in the event of automation failures.Learn to build small to medium
automations.
This is a full-time, exempt role.
Responsibilities/Essential Functions:
With oversight by leadership, provides support to complex business/technical processes and tools for multiple products, requiring the use of technical solutions across multiple departments or lines of business.
Learn to build small to medium RPA (Robotic Process Automation) projects using Automation Anywhere.
Serve as a team member on projects of large scope and moderate to high complexity. Able to work independently with guidance and direction as appropriate.
Develop data and reports for field external and internal customers to clearly articulate value and meet customer needs.
Interact directly with end users to provide data and support
Provide timely and accurate analytical support to team supported, ensures results are validated to and ensure accuracy in work products.
Summarize information and effectively communicate analyses in writing and verbally to internal partners across multiple business functions.
Participate in the development of innovative solutions by approaching problems with curiosity and open-mindedness, using existing information to its fullest potential
Participate in the development of new tools and process enhancements to enable new capabilities and solutions to drive business growth.
Participating in the development of prototypes for various reporting, system and tools.
Develop code, tests, debugs and document working data and analytics systems to demonstrate the business value.
May apply proven data management techniques, application development methodologies and other technologies to produce comprehensive prototype and production solutions.
Position Requirements:
0– 3 years of related analytical or technical experience required
Solid knowledge of SQL; able to work with, integrate and evaluate large and complex data sets
Intermediate knowledge in Visual Studio and Access. Ability to build and/or maintain multi-user applications
A business, Management Information Systems or Computer Science related degree and a genuine interest in technology
Ability to troubleshoot technical issues.
EEO statement:
“The Hanover values diversity in the workplace and among our
customers. The company provides equal opportunity for employment and
promotion to all qualified employees and applicants on the basis of experience,
training, education, and ability to do the available work without regard to
race, religion, color, age, sex/gender, sexual orientation, national origin,
gender identity, disability, marital status, veteran status, genetic
information, ancestry or any other status protected by law.
Furthermore, The Hanover Insurance Group is committed to
providing an equal opportunity workplace that is free of discrimination and harassment
based on national origin, race, color, religion, gender, ancestry, age, sexual
orientation, gender identity, disability, marital status, veteran status,
genetic information or any other status protected by law.”
As an equal opportunity employer, Hanover does not
discriminate against qualified individuals with disabilities. If you
require a reasonable accommodation, as a candidate for employment, please
inform The Hanover Talent Acquisition office.
Other details
Job Function
Information Technology
Pay Type
Salary
Required Education
Bachelor’s Degree | 3.7 | The Hanover Insurance Group
3.7 | Worcester, MA | Worcester, MA | 5001 to 10000 employees | 1,852 | Company - Public | Insurance Carriers | Insurance | $5 to $10 billion (USD) | -1 | 0 | 0 | 39 | 69 | 54 | The Hanover Insurance Group
| MA | 1 | 168 | 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 |
Clinical Data Analyst | $27K-$48K (Glassdoor est.) | Job Summary
Greenway Health is actively seeking a motivated Clinical Data Analyst on our Data Insights team. The Clinical Data Analyst will be instrumental in helping to determine appropriate data transformations and governance strategies to deliver trusted data sets for regulatory reporting and analytics. A Clinical Data Analyst is an active and influential member our informatics team. As a Clinical Data Analyst on our team you must have a passion for improving healthcare software; you will need to be highly passionate and comfortable in an entrepreneurial agile scrum environment. You will be responsible for engaging professionally with clinicians, informatics and third-party data providers to precisely define appropriate data, cleansing and presentation requirements for down-stream reports and applications to allow stakeholders to make insightful clinical decisions for their practice.
You will use your knowledge of healthcare analytics to influence our data quality and master data management initiatives. You will use your healthcare domain experience to help the teams understand use cases and functional requirements. You would be a great fit to this role, if you meet position requirements and can fulfill the following responsibilities to create an informatics product that is enables prideful marketability to provide better care and services to patients. As a Clinical Data Analyst, you will report to the Senior Director of Data Insights to help develop our reporting and analytics vision to provide better practice management and patient care services.
Essential Duties & Responsibilities
• Identify, evaluate, map, preprocess raw data for integration from disparate clinical sources using steadfast data governance principles
• Assist the team with healthcare standards such as HL7 and DICOM and coding systems CPT, HCPCS, SNOMED, ICD9/10, LOINC, RxNorm to handle clinical data appropriately in the system
• Engage with customers, prospects and other experts to understand, analyze complex data systems, define and document key data element requirements, flow, relationships and dependencies
• Assist in definition, documentation and communication of standards and processes to adopt and implement data quality with validated product requirements
• Investigate and communicate data source anomalies
• Prioritize and validate product test cases
• Maintains current knowledge-base of industry and Greenway content, best practices, application, procedures and policies
Experience
Education
• BS degree in Computer Science, Medical Informatics, Healthcare Administration (or related field)
Minimum Qualifications
• 2+ Years of clinical experience using an electronic health record (EHR)
• 2+ years experience with healthcare domain with direct experience related to data integration, software development, and/or implementation of enterprise clinical use software
• Profound knowledge of clinical terminologies to create reference data and transformation to data standards (e.g. HL7, RxNorm, ICD 9, ICD 10, LOINC, Medications, UCUM, UMLS, SNOMED CT, etc.)
• Healthcare information technology experience specific to electronic medical records (EMR), clinician notes, imaging, laboratory, pathology, and medication administration to create enriched patient data with clinical analytics concentration
• Proficiency with SQL and for product development related to data collection, aggregation, application development, analysis, and reporting
• Experience with systems engineering concepts, data modeling, data architecture, data warehousing, databases and datamarts
• Expertise with claims, claim line feed data, revenue cycle management and patient portals
• Conceptual understanding of AI/ML pipelines and Natural Language Processing
• Demonstrated competency with disparate health care data sources for ingestion, metatdata, mappings, ontology management, data catalog management, reference data, rules/hierarchies and normalization
Skills/Knowledge
• Strong master data management (MDM) and data governance evangelization including data profiling, cleansing, parsing/standardization and enrichment
• Ability to collate/review data for submission monitoring for outliers, error processing and validation using address verification, enterprise master patient index (EMPI) and provider reference services
• Excellent analytical, communication and interpersonal skills to interact with a diverse group of providers, staff and cross functional teams
• Transformational analytic, creative, interpersonal, and business focused problem solver with demonstrated ability to excel in a global matrix organization across product and engineering teams to influence at all levels in the organization
• Aptitude to professionally interact with end-users, informatics, and third-party providers to elicit and deliver data requirements
• Receptive to limited travel
Work Environment/Physical Demands
• While at work, this position is primarily a sedentary job and requires that the associate can work in an environment where they will consistently be seated for the majority of the work day
• This role requires that one can sit and regularly type on a key board the majority of their work day
• This position requires the ability to observe a computer screen for long periods of time to observe their own and others’ work, as well as, in-coming and out-going communications via the computer and/ or mobile devices.
• The role necessitates the ability to listen and speak clearly to customers and other associates
• The work environment is an open room with other associates and noise from others will be part of the regular work day
Disclaimer: This Job Summary indicates the general nature and level of work expected of the incumbent(s). It is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the incumbent. Incumbent(s) may be asked to perform other duties as requested. Greenway Health, LLC is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, age, gender, national origin, sexual orientation, disability, or veteran status. | 3 | Greenway Health
3.0 | Tampa, FL | Tampa, FL | 1001 to 5000 employees | 1,977 | Subsidiary or Business Segment | Enterprise Software & Network Solutions | Information Technology | $100 to $500 million (USD) | eClinicalWorks, NextGen Healthcare, athenahealth | 0 | 0 | 27 | 48 | 37.5 | Greenway Health
| FL | 1 | 43 | 0 | 0 | 0 | 0 | 1 |
Business Data Analyst | $36K-$71K (Glassdoor est.) | (We are unable to sponsor for this role now or in the future)
Fare Buzz is one of the leading online travel providers specializing in worldwide travel and innovative technology; due to our buying power we leverage a unique ability to negotiate aggressive deals on air, hotels, car and vacation rentals to pass the savings on to business professionals who travel frequently and the everyday consumer.
We are seeking a Business Data Analyst to help lead analysis on pricing opportunities, customer behavior, and competitive positioning to build a long-term pricing strategy for the firm. This person will be part of the Pricing team, giving them unique access to make impactful decisions on Fareportal's revenue. The right candidate should be high-performing, driven, willing to learn and excited about travel.
Responsibilities:
Work collaboratively with departmental managers to identify areas of potential revenue growth (e.g. brand teams, marketing teams)
Perform analysis of highest growth opportunity areas to identify and recommend new ways to improve revenue (e.g. analyses around pricing opportunities, competitive positioning, and customer behavior)
Use statistical methods to analyze data and generate useful business reports outlining pricing recommendations
Build insight from the data collected to improve customer retention and marketing
Design a strategy to test pricing recommendations including a reasonable hypothesis, implementation, and key metrics for determining success
Track test performance against key performance indicators (KPIs) and launch successive tests
Clearly communicate results visually and verbally to stakeholders and senior management
Support executive leaders in mobilizing and execution of long-term plans (e.g., program management, setting/tracking metrics, developing roadmaps, creating process maps)
Requirements:
Bachelor's Degree in Statistics, Mathematics, Economics or similar quantitative discipline
Master's Degree preferred
2+ years of experience working in a data analyst role
Results-oriented, self-driven individual with the ability to manage complex projects
SQL experience and advanced Excel skills required; Python, R, PowerBI preferred
Must have experience using google analytics
Excellent verbal and written communication skills; ability to create an effective presentation to drive action
Ability to collaborate effectively and work as part of a team
Detail-oriented individual
Basic understanding of Agile methodology | 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 | 36 | 71 | 53.5 | Fareportal
| NY | 1 | 18 | 1 | 0 | 0 | 0 | 1 |
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 |
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 |
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 |
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 |
Data Scientist | $60K-$99K (Glassdoor est.) | Job Description
Oversight is a leading provider of cloud-based artificial intelligence solutions automating and analyzing financial payment transactions to identify fraud, non-compliant purchases, and wasteful spending. Oversight analyzes over $2 trillion in expenditures annually at Fortune 5000 companies and government agencies worldwide.
In this position as a Data Scientist, you will be working with a team of skilled and motivated data scientists and machine learning engineers designing and building AI solutions to expand our product line.
Responsibilities
Our team is at the fore front of building, operating and supporting business systems with machine learning at their core.
As a Data Scientist you will be incorporating machine learning into our products in order to transform how companies find and manage spend risk throughout their organization. You will collaborate with cross functional teams on complex data science problems and be responsible for solution design, data preparation, model building, and model management.
Ultimately, we’re looking for people who are excited by machine learning, data and technology, love to solve problems, constantly challenge themselves to provide the best user experience, can work well alone, have a wide range of skills and are able and willing to constantly learn.
Skills
Technical Skills/Requirements
3+ years real world experience in a data science or equivalent role
Extensive experience designing and maintaining a machine Learning pipeline – ETL, feature engineering, modeling, predicting, explaining, deploying and ongoing diagnostics
Excellent pattern recognition and predictive modeling skills
Experience communicating complex models and designing
Strong experience with data processing and data analytics
Experience analyzing a wide variety of structured and unstructured data
Strong communication and data presentation skills
Experience in both R&D and commercial software product development environment is a plus
Technologies
Expertise in python, scikit-learn, and pandas
Experience with Deep learning frameworks (FastAI , Keras, PyTorch etc.) preferred
SQL
Linux
Interested and qualified candidates should submit a resume with salary requirements to recruiter@oversightsystems.com.
About Oversight
The world’s largest companies and government agencies trust Oversight to identify enterprise spend risk no matter where it resides in their organization. Oversight’s AI-powered platform drives financial transformation by reducing audit effort and eliminating data silos to monitor and analyze 100% of spend transactions with unparalleled accuracy. With full visibility into spend, Oversight customers find and prioritize employee-initiated and third-party spend risk that would otherwise go undetected by in-house processes. By identifying process breakdowns and making corrections early, Oversight helps optimize budgets, reduce out-of-policy spending by 70% while maximizing audit efficiency and eliminating cash leakage.
Oversight is an equal opportunity employer.
Job Applicant Privacy Notice | 4.7 | Oversight Systems
4.7 | Atlanta, GA | Atlanta, GA | 51 to 200 employees | 2,003 | Company - Private | Computer Hardware & Software | Information Technology | $25 to $50 million (USD) | -1 | 0 | 0 | 60 | 99 | 79.5 | Oversight Systems
| GA | 1 | 17 | 1 | 0 | 0 | 0 | 1 |
Data Scientist - Sales | $130K-$206K (Glassdoor est.) | Dubbed an "open-source unicorn" by Forbes, Confluent is the fastest-growing enterprise subscription company our investors have ever seen. And how are we growing so fast? By pioneering a new technology category with an event streaming platform, which enables companies to leverage their data as a continually updating stream of events, not as static snapshots. This innovation has led Sequoia Capital, Benchmark, and Index Ventures to recently invest a combined $125 million in our Series D financing. Our product has been adopted by Fortune 100 customers across all industries, and we’re being led by the best in the space—our founders were the original creators of Apache Kafka®. We’re looking for talented and amazing team players who want to accelerate our growth, while doing some of the best work of their careers. Join us as we build the next transformative technology platform!
The mission of Data Science team at Confluent is to serve as the central nervous system of all things data for the company: we build analytics infrastructures, metrics, insights, and models, to empower data-driven thinking, and optimize every part of the business. There are limitless opportunities for an ambitious data scientist to make an immediate and meaningful impact within a hyper growth start-up.
We are now looking for a talented and driven individual to accelerate data science efforts and boost our Product and Sales trajectory. This person will work closely with our C-suite executives and operation teams to develop and deliver actionable recommendations to drive better and faster decisions. Successful candidates will exhibit technical acumen and business savvy, with a passion for making an impact, through creative storytelling and timely actions.
Responsibilities:
Build and maintain data foundations, metrics and dashboards to monitor the performance of our business in every function, and extract actionable insights
Apply quantitative analysis, data mining, and presentation of data to fuel business growth and drive customer success
Design and analyze experiments to test new product ideas; Convert the results into actionable recommendations
Build data products to improve operational efficiencies organizationally to scale with a hyper growth start-up
Inform, influence, support, and execute business decisions with senior leadership and business partners
What We're Looking For:
5+ years relevant industry experience working with SQL (Teradata, Oracle, MySQL, etc.) and R (or Python)
3+ years experience in applying statistical modeling and/or machine learning
Proficiency in data visualization (eg. Tableau, R-shiny, Python, Metabase, Looker, Matlab, etc.)
Bachelor or advanced degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
The ability to communicate cross-functionally, derive requirements and deliver insightful analysis and/or models; ability to synthesize, simplify and explain complex problems to different types of audiences, including executives
What Give You An Edge:
7+ years relevant industry experience
Experience building data warehousing and ETL pipelines
Experience with Unix/Linux environment, Git.
Experience in developing data apps with Python/Java, high charts, etc.
Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audiences, including executives
Experience working with B2B data science domain: product analytics, CRM, sales effectiveness, propensity score,, segmentation, web analytics, attribution, funnel optimization, etc.
#LI-MT1
Come As You Are
At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. | 4.7 | Confluent
4.7 | Mountain View, CA | Mountain View, CA | 501 to 1000 employees | 2,014 | Company - Private | Computer Hardware & Software | Information Technology | $100 to $500 million (USD) | -1 | 0 | 0 | 130 | 206 | 168 | Confluent
| CA | 1 | 6 | 1 | 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 |
Senior Data Analyst | $99K-$178K (Glassdoor est.) | Senior Data Analyst
About us
Life360 brings families closer with smart tools designed to protect and connect the people who matter most.
Known for first-to-market solutions for modern family challenges, Life360 recently reached #1 in Apple's US App Store's list of free social networking apps. Nearly 1 in 10 US families with kids use Life360 an average of 12 times a day, and global membership is growing exponentially, with over 25 million monthly active users in over 140 countries making Life360 the largest mobile service for families in the world.
This reach gives us the opportunity to do unprecedented good for families through our valued core offerings: advanced location sharing, private messaging, driver monitoring, help alerts, 24/7 roadside assistance, and Crash Detection with emergency response. On average we respond to 1,000 roadside assists and dispatch 200+ ambulances each month to those in need.
Offering both free and paid memberships. In addition, the company has raised over $200 million in equity financing, and recently completed an IPO on the ASX exchange giving our employees the liquidity of a public company with the upside of a private growth stage business.
Life360's rapidly growing team of 150+ employees is headquartered in San Francisco, with offices in San Diego, and Las Vegas.
About the Job
Data plays a crucial role in Life360's growth by driving smarter decisions, improving operations, and creating higher value user experiences. As an analytics team, we partner with a wide variety of cross-functional partners to apply data insights against strategic initiatives. "Know Our Users" is a Life360 core value and we're looking for analytics professionals who are passionate about leveraging user data to create value for Life360 families.
You'll be working in a dynamic growth environment, leading efforts to better understand the business, the product, and the customer. Life360 has one of the most interesting datasets in the world: location, driving, product usage, and purchasing behavioral data - all centered around who matters most, the family. If you have a passion for making an impact and working on products that help millions of families around the world, then this is the right place for you.
Responsibilities
Analytics team members work closely with specific strategic teams but also have opportunities to work on company-wide initiatives. This person is expected to focus on that particular area but also generalize their skills towards other parts of the business with a variety of projects.
In this role, we are looking for someone to partner with the Revenue team in developing actionable insights from both product and financial perspectives. Common projects range from financial disclosure reports that tell Life360's growth story to conducting deep-dive analyses into identifying opportunities for subscription growth. Ultimately, you will be tasked with finding data insights that deliver business value.
These are some typical responsibilities:
Leverage data to understand the Life360 family and their product usage, developing insights that apply to product, marketing, and business strategy.
Partner with executives, product managers, engineers, marketers, designers to translate data insights into smarter decisions and applications.
Establish and manage KPIs that measure the health of the business, product performance, and customer experience quality.
Build dashboards and reporting processes to monitor business and product trends.
Develop frameworks, tools, and best practices to apply data insights towards business questions.
Conduct analyses and build models that identify opportunities and drive growth.
Design and analyze experiments, communicate results, and drive decisions.
Potential projects may include forecasting business performance, developing family driving profiles, and predicting customer lifetime value.
Qualifications
We are looking for candidates with a diverse background that will compliment the skills and backgrounds of the current team. If you don't fit all the criteria below please apply anyway as this list is more of a preference rather than a rule. Our priority is for a well rounded team that delivers results.
We are looking for candidates who have had previous experience on analytics teams and are willing to help coach and mentor colleagues on best data practices. 5+ years is preferred.
Degree in a quantitative field like statistics, economics, applied math, operations research, or engineering, finance, business intelligence. Advanced degrees are preferred.
SQL expertise - able to write structured and efficient queries on large datasets.
Experience in scripting languages, like analysis and visualization libraries in Python or R.
Strong verbal/written communication skills and the ability to collaborate with cross-functional partners to build the business.
Proficiency in building data visualizations and interactive dashboards with tools like Tableau.
Experience designing and evaluating experiments to draw inferential recommendations.
Curiosity to learn about new topics and uncover hidden insights.
Perks
Fridays are Work From Home days at Life360
Competitive pay and benefits
Free snacks, drinks (three ways to brew your favorite cup of coffee), and food in the office
Catered lunches throughout the week
Health, dental and vision insurance plans
401k plan
$200/month Quality of Life perk
A great office with plenty of light in the heart of the SOMA district in beautiful San Francisco
Whatever makes you stronger makes us stronger. We buy you the things you need to improve yourself and get your job done.
This position is located in San Francisco, CA. It is not a remote role. | 3.9 | Life360
3.9 | San Francisco, CA | San Francisco, CA | 51 to 200 employees | 2,008 | Company - Public | Computer Hardware & Software | Information Technology | Unknown / Non-Applicable | -1 | 0 | 0 | 99 | 178 | 138.5 | Life360
| CA | 1 | 12 | 1 | 0 | 0 | 0 | 0 |
Principal, Data Science - Advanced Analytics | $86K-$137K (Glassdoor est.) | IQVIA is the leading human data science company focused on helping healthcare clients find unparalleled insights and better solutions for patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness the power of healthcare data, domain expertise, transformative technology, and advanced analytics to drive healthcare forward.
Job Description
The IQVIA Advanced Analytics team is one of the leading healthcare analytical teams in the world. Joining the AA team provides the opportunity to work with extremely complex data and methodologies in a fast-paced, ever-changing environment. We seek highly motivated people who truly want to make a difference in the life sciences industry. At IQVIA, we look for the very best people, and then give them meaningful work to do. we dont simply think about careers, we think about contributions.
Advanced Analytics - with departments in Philadelphia, Frankfurt, Paris, and Warsaw as well as a network of over 150 team members worldwide - is the global competence center for data science at IQVIA. Complex advanced analysis at the highest level are conceptualized and implemented to support international customers in the pharmaceutical industry - often within multinational projects. As a member of our team you can expect exciting international projects with interesting development perspectives.
The position will use large data sets to find opportunities for product and process optimization and models to test the effectiveness of different courses of action. Our data scientists have strong experience using a variety of data mining/data analysis methods, building and implementing models, using/creating algorithms and simulations. For this position, we are seeking several years of direct experience with developing algorithms and models to solve prediction problems. Awareness of various techniques available to use in predictive analytics. Using their proven ability to drive business results with their data-based insights, they will comfortably interact and work with a wide range of stakeholders and functional teams. They have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
What were looking for:
Quantitative background with advanced degrees (Master, PhD preferred) in Statistics, computer science, engineering, informatics, data science, or related field.
In-depth understanding of machine learning algorithms and statistical models
Ability to manage, lead and communicate
Experience in pharmaceutical or hospital/healthcare industry
What youll be doing:
Build machine learning/statistical models and pipelines for solving predictive analytic tasks with electronic healthcare claims and medical records
Apply machine learning, data mining technologies in developing innovative solutions in pharmaceutical industry.
Participate at client meetings for complex proposals to present IQVIA advanced analytic methodologies to clients and to bring credibility for IQVIA team
Ensure data quality throughout all stages of acquisition and processing, including such areas as data collection, normalization, transformation, embedding, visualization, etc.
Present study findings to clients and translate analytic outputs to business impact and recommend actions to clients to improve their business performance
Ensure data quality throughout all stages of acquisition and processing, including such areas as data collection, normalization, transformation, embedding, visualization, etc.
Work with IQVIA technology team to support machine-learning algorithms in big data platform to solve a variety of business problems.
IQVIA is an EEO Employer - Minorities/Females/Protected Veterans/Disabled
We know that meaningful results require not only the right approach but also the right people. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes.
Whatever your career goals, we are here to ensure you get there!
We invite you to join IQVIA.
Join Us
Making a positive impact on human health takes insight, curiosity, and intellectual courage. It takes brave minds, pushing the boundaries to transform healthcare. Regardless of your role, you will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve outcomes for patients.
Forge a career with greater purpose, make an impact, and never stop learning.
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 IQVIAs Talent Acquisition team at workday_recruiting@iqvia.com to arrange for such an accommodation. | 3.6 | IQVIA
3.6 | Plymouth Meeting, PA | Durham, NC | 10000+ employees | 2,017 | Company - Public | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $2 to $5 billion (USD) | PPD, INC Research, PRA Health Sciences | 0 | 0 | 86 | 137 | 111.5 | IQVIA
| PA | 0 | 3 | 0 | 0 | 0 | 0 | 0 |
Data Science Project Manager | $37K-$100K (Glassdoor est.) | At MassMutual, we are 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 Science team, part of the Enterprise Technology and Experience organization, is comprised of highly skilled and 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 a Data Science Project Manager to join our team.
What great looks like for this role
A seasoned Project Manager will have the opportunity to apply advanced project and program management knowledge, skills, tools and techniques to project deliverables, processes, communications and presentations in order to meet or exceed stakeholder needs and expectations. The Project Manager will have the ability to think strategically to understand, apply, promote and contribute to MassMutual's delivery methodologies, standards and tools. This individual will work with a team that embraces diversity in all of its forms, respects others and looks to have fun.
Objectives of this role
To scale our data science impact.
To impact complex business goals through the delivery of quality work timely.
To ensure documentation is in place and process is followed meeting standards
Daily and Monthly Responsibilities - What You Will Do:
Lead broad scope projects that have medium to long-term focus
Engage with all levels across the enterprise
Serve as a conduit of knowledge between functional and technical teams
Communicate regularly with individuals both within and outside of our team, managing relationships and expectations
Navigate ambiguity to deliver results
Develop plans for continuous service to support implementation of products
Act as a champion for data science capabilities by communicating their benefits and how they can be implemented
Provide consultation, business analysis, project management, and leadership on multiple projects of varying duration, size, and complexity
Motivate teams to work together, communicate, and deliver
Elicit, translate and simplify requirements
Document and organize acceptance criteria for user stories
Manage budget, timeline, and scope throughout the course of all assigned projects
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
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
Work with technical leads, product managers to plan, develop technical scopes of work and manage the execution of projects/product changes in response to requirements from our stakeholders
Be self-supportive in collaborating with peers to effectively deliver a robust solution for the business
Drive process within a matrix management setting
What You Will Not Do:
Design strategic roadmaps
Large amounts of computer programming
Manipulation of large data sets
Sit in solitude at your desk
Basic Qualifications
Bachelors Degree preferably in Business/Finance or an analytical field such as Economics, Mathematics, Engineering, Computer Science
4+ years managing and driving the execution of complex projects
Experience in/working in partnership with a technical role, such as an engineer, developer, data scientist, etc. a plus
Proficient 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
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
Authorized to work in the United States without requiring visa 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
Agile certification or experience
Solid grasp of software technologies and stacks.
Former technical experience is preferred, such as working with data science teams or experience developing and/or deploying predictive models | 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 | 37 | 100 | 68.5 | MassMutual
| MA | 0 | 169 | 0 | 0 | 0 | 0 | 1 |
Sr Scientist, Immuno-Oncology - Oncology | $58K-$111K (Glassdoor est.) | Site Name: USA - Massachusetts - Cambridge
Posted Date: Mar 24 2020
Are you energized by a challenging role in immuno-oncology, where scientific demand is driving team growth? If so, this Senior Scientist would be a great opportunity to consider.
The Immune Biology Group within GSKs Immuno-Oncology & Combinations Research Unit (IOC RU) is seeking a Sr. Scientist with experience in immuno-oncology or immunology to join our team.
In this role, you will be responsible for conducting research designed to identify and validate immune-based therapies for cancer.
This Sr. Scientist role will provide you the opportunity to lead key activities to progress your career. Responsibilities include:
Deliver critical path biology results to support GSKs pipeline of cancer immunotherapies from early discovery to first-time-in-human commitment.
Establish and expand internal wet lab capabilities at a growing GSK site.
Actively participate in building and maintaining drug discovery relationships with both internal stakeholders and external partners.
Work within a dynamic and collaborative environment to deliver high-quality scientific data packages to meet experimental and organizational goals.
Why you?
Basic Qualifications:
We are looking for professionals with these required skills to achieve our goals:
Bachelors or Masters degree in immunology, immuno-oncology or related field with 5+/3+ years of experience, respectively.
Strong scientific background in immunology or immuno-oncology research, with a focus on bioassay development to functionally characterize biologics and/or small molecules.
Research expertise in the field of adaptive immunity with a focus on T cell biology with demonstrated ability to independently establish robust in vitro and ex vivo functional assay protocols to investigate mechanisms of action for multiple drug candidates and their combinations.
Expertise in high-dimensional flow cytometry to phenotypically characterize immune cells from human and murine tissue samples, including both surface and intracellular staining.
Demonstrated hands-on ability to independently design, conduct, and analyze pharmacology studies.
Strong communication skills and ability to conduct research in a cross-functional team environment.
Ability to interpret data clearly and concisely both verbally and in documents and present results in an organized manner.
Ability to prioritize, manage time efficiently, and implement creative solutions to meet program needs.
Commitment to continual improvement by reading and applying the latest scientific literature, methodologies and technology where appropriate.
A high level of integrity and desire to develop transformational medicines that bring benefit to patients
Preferred Qualifications:
If you have the following characteristics, it would be a plus:
2+ years pharmaceutical or biotechnology industry research experience working in matrixed drug discovery project teams.
Research expertise with functional characterization of myeloid cells
Experience liaising with Laboratory Operations personnel.
Why GSK?
Our values and expectations are at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities:
Operating at pace and agile decision-making using evidence and applying judgement to balance pace, rigour and risk.
Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution.
Continuously looking for opportunities to learn, build skills and share learning.
Sustaining energy and well-being
Building strong relationships and collaboration, honest and open conversations.
Budgeting and cost-consciousness
*LI-GSK
*This is a job description to aide in the job posting, but does not include all job evaluation
If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).
GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.
Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSKs compliance to all federal and state US Transparency requirements. For more information, please visit GSKs Transparency Reporting For the Record site. | 3.9 | GSK
3.9 | Cambridge, MA | Brentford, United Kingdom | 10000+ employees | 1,830 | Company - Public | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $10+ billion (USD) | Pfizer, AstraZeneca, Merck | 0 | 0 | 58 | 111 | 84.5 | GSK
| MA | 0 | 190 | 0 | 0 | 0 | 1 | 0 |
Senior Data Engineer | $72K-$133K (Glassdoor est.) | THE CHALLENGE
Eventbrite has a world-class data repository of live events, powering millions of events and hundreds of millions of ticket transactions each year in 170+ countries. Our platform allows event creators and event goers to have the most meaningful live experiences. As a Senior Data Engineer, you will be part of a team that is building our next-gen big data infrastructure to support both internal and customer-facing applications.
THE TEAM
We're a people-focused Engineering organization: our people value working together in small teams to solve significant problems, supporting an active culture of mentorship and inclusion, and pushing themselves to learn new things daily. Pair programming, weekly demos, tech talks, and quarterly hackathons are at the core of how we’ve built our team and product. We believe in engaging with the community, regularly hosting free events with some of the top technical speakers, and actively contributing to open source software (check out Britecharts as an example!). Our technology spans the web, mobile, API, Big Data, machine learning, search, physical point of sale, scanning systems, and the data infrastructure required to support those systems.
THE ROLE
We are hiring a Senior Data Engineer to help us build a scalable, reliable, secure, and highly performant data platform. You'll help reinforce and extend the infrastructure that powers the use of data at Eventbrite. From infrastructure development to data analysis to ETL jobs, you will need a broad range of big data engineering skills. The team has strong and versatile engineers. You will grow. We hope to grow with you.
THE SKILL SET
8-10 years of experience building high quality software in Python, Java, or Scala
5+ years of experience designing batch, streaming, and event-driven Data Warehouse and ETL architectures with Hadoop ecosystem, such as Spark, Hive, Storm, Presto, Kafka, Hbase, MySQL databases, and HDFS
Understanding of Data Engineering, Data Science, Machine Learning, Data Analytics, and the relevant technologies that support them
Deep expertise in cloud computing, preferably AWS, security, cluster sizing, and performance tuning. Ability to setup process and systems to monitor and reduce cloud computing costs for a large organization
Experience building systems to instrument, collect and process billions of events, such as clickstream data. Deep understanding of measuring and ensuring data quality at scale
Outstanding verbal, written, presentation, and facilitation skills. In particular, a demonstrated ability to effectively communicate technical and business issues and solutions to multiple organizational levels
Ability to teach and mentor engineers with a variety of skill levels and backgrounds
Vision to define the future of how Big Data and Analytics intersect at Eventbrite. The Analytics community at Eventbrite will rely on you to build and maintain a data environment built for speed, accuracy, consistency and uptime
Skills to support analytics by building a world-class data warehousing environment that empowers analysts to deliver insights to their stakeholders. Evaluate competing data technologies and toolsets from various vendors and open-source products; drive platform selection; lead technical architecture, application design and implementation
Skills to support analytics by building a world class data warehousing environment that empowers analysts to deliver insights to their stakeholders
Evaluate competing data technologies and toolsets from various vendors and open-source products; drive platform selection; lead technical architecture, application design and implementation
Combine strong analytical skills with the ability to collect, organize and analyze large amounts of information with attention to detail and accuracy
Passionate about live entertainment, and eager to help build Eventbrite into the world's leading event technology platform
Strong analytical and problem-solving skills and attention to detail
BONUS POINTS
Familiarity with a server-side frameworks, such as Django, Express, Rails, or .Net
Skilled in various forms of data modeling including ER, XML Schemas, SQL, logical and physical database design, dimensional modeling, and/or OLAP cubes
Knowledge of database schemas and models, including 3NF, star schemas, cubes, etc. and in developing physical database schemas from logical models
Strong knowledge of database optimization and scaling approaches including indexing, partitioning, sharding, clustering, in memory tables, horizontal and vertical scaling
Familiarity with managing large datasets and understanding the complexities of merging large databases, meeting security audit requirements, and implementing a data retention policies
ABOUT EVENTBRITE
Eventbrite is a global ticketing and event technology platform, powering millions of live experiences each year. We empower creators of events of all shapes and sizes – from music festivals, experiential yoga, political rallies to gaming competitions –– by providing them the tools and resources they need to seamlessly plan, promote, and produce live experiences around the world. Last year, the team served 795,000 creators hosting nearly 4 million experiences across 170 countries. Meet some of the Britelings that make it happen.
IS THIS ROLE NOT AN EXACT FIT?
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Eventbrite is a proud equal opportunity/affirmative action employer supporting workforce diversity. We do not discriminate based upon race, ethnicity, ancestry, citizenship status, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), marital status, registered domestic partner status, caregiver status, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, genetic information, military or veteran status, mental or physical disability, political affiliation, status as a victim of domestic violence, assault or stalking, or other applicable legally protected characteristics.
Applicant Privacy Notice | 4.4 | Eventbrite
4.4 | Nashville, TN | San Francisco, CA | 1001 to 5000 employees | 2,006 | Company - Public | Internet | Information Technology | $100 to $500 million (USD) | See Tickets, TicketWeb, Vendini | 0 | 0 | 72 | 133 | 102.5 | Eventbrite
| TN | 0 | 14 | 1 | 0 | 1 | 1 | 0 |
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 |
Research Scientist – Security and Privacy | $61K-$126K (Glassdoor est.) | Returning Candidate? Log back in to the Career Portal and click on 'Job Browsing/History' and find the job you're looking for.
2019-024-OIC: Research Scientist – Security and Privacy
Directorate Open Innovation Center
Location Beavercreek, OH
If you want help develop the future technology to ensure security and privacy, Riverside Research’s Trusted and Resilient Systems group is the place for you. We are searching for an individual to join our research group to help shape a more secure future. The team has ongoing research in security of machine learning, cryptography, hardware and hypervisor security solutions, as well as developing cutting edge solutions to the security of open architecture systems. The ideal person for this position is passionate about many diverse areas technology and can leverage their interests to develop and study creative solutions to some of the most difficult challenges. The current team resides in Riverside Research’s Beavercreek, OH, but we are willing to consider candidates that would prefer to work out of one of our Washington DC (Centerville or Crystal City) offices, our New York City office, or our Boston office.
Job Responsibilities:
•Work with a team of highly skilled researchers to develop interesting and novel solutions to security and privacy problems
•Publish and present research in conferences and journals
•Work with the team to identify future areas of research investment and develop research plans
•Assist with writing technical proposals
Qualifications:
•Ability to obtain and maintain TS/SCI security clearance
•Bachelor's or Master's degree with significant experience in security privacy research
•Prior experience developing software
•Ability to work independently and with a team
•Superior written and verbal communication skills
Desired Qualifications:
•Python
•Web development (we use React)
•Revision control (we use Git)
•Machine learning
•Cryptography
•Prior experience with government funded research
Riverside Research strives to be one of America’s premier providers of independent, trusted technical and scientific expertise. As we continue to add experienced, technically astute staff, we are looking for highly motivated, talented team members that can help our DoD and Intelligence Community (IC) customers continue delivery of world class programs. As a not-for-profit, technology-oriented Defense Company, we believe service to customers and support of our staff is our mission. Our goal is to serve as a destination company by providing an industry-leading, positive, and rewarding employee experience for all who join us. We aspire to be a valued partner to our customers and to earn their trust through our unwavering commitment to achieve timely, innovative, cost-effective and mission-focused solutions.
All positions at Riverside Research are subject to background investigations. Employment is contingent upon successful completion of a background investigation including criminal history and identity check.
This contractor and subcontractor shall abide by the requirements of 41 CFR 60-741.5(a). This regulation prohibits discrimination against qualified individuals on the basis of disability, and requires affirmative action by covered prime contractors and subcontractors to employ and advance in employment qualified individuals with disabilities.
This contractor and subcontractor shall abide by the requirements of 41 CFR 60-300.5(a). This regulation prohibits discrimination against qualified protected veterans, and requires affirmative action by covered contractors and subcontractors to employ and advance in employment qualified protected veterans.
Apply Now | 3.6 | Riverside Research Institute
3.6 | Beavercreek, OH | Arlington, VA | 501 to 1000 employees | 1,967 | Nonprofit Organization | Federal Agencies | Government | $50 to $100 million (USD) | -1 | 0 | 0 | 61 | 126 | 93.5 | Riverside Research Institute
| OH | 0 | 53 | 1 | 0 | 0 | 0 | 0 |
Data Science Manager | $95K-$160K (Glassdoor est.) | Data Science ManagerResponsibilities:
Oversee a team of Data Scientists and Data Visualization Analysts who transform enterprise data into value drive insights
Design and implement processes for complex large-scale datasets for data mining, predictive modeling, and research purposes
Serve as an advisor for business stakeholders identifying data needs and explaining the importance and use of data applicable to their usage
Oversee development of a style guide detailing best practices standards for data visualization
Manage the intake process of analytics projects, measure value, and prioritize projects
Align the department as a customer-oriented service providing insights and information
Coach and mentor team providing specific, timely and constructive feedback
Provide day-to-day leadership and operational management in area of responsibility
Execute objective, plans, and policies in line with enterprise level strategy
Proactively find new opportunities to leverage technology for continuous improvement and greater efficiency
Contribute to budget development and assist in preparation of operational plans for department
Oversee area of responsibility to adhere to approved budgets
MS degree in a quantitative discipline plus a minimum of 5 years of professional work experience
Minimum of 3 years of management experience
Professional work experience with R and advanced statistical modeling techniques including machine learning techniques
Excellent oral and written communication skills
Excitement, curiosity and passion for shaping the future through digital technology
US Citizenship or green card required | 3.2 | Numeric, LLC
3.2 | Allentown, PA | Chadds Ford, PA | 1 to 50 employees | -1 | Company - Private | Staffing & Outsourcing | Business Services | $5 to $10 million (USD) | -1 | 0 | 0 | 95 | 160 | 127.5 | Numeric, LLC
| PA | 0 | -1 | 0 | 0 | 0 | 0 | 1 |
Data Analyst 2 (Missionary Department) | $53K-$91K (Glassdoor est.) | Purposes
Provide department leadership with reliable data from trusted source systems that will empower and influence key decision making. Access and integrate data for reporting to establish data standards, quality and reliability.
Responsibilities
"This level of Data Analyst will work on data coming from multiple systems, will integrate both structured and unstructured data for the creation of standardized dashboards and reporting. They must understand the relationship of the data from the various sources for integration. This level will also perform ad hoc, deep dive analytical analysis, and interpretation.
Understand the Data
• Defining what the data is, where it is coming from, how it will be captured, and how it will be consumed
Data Quality Assessment
• Validation of data quality including sources, reliability, completeness, validity, and uniqueness
Organize the Data
• Address accessibility, usability, data modeling & structuring, aggregation, field definition & use, statistical validity, data warehouse creation
Configuring Data for Accessing
• Channeling the data to where it is needed, predictive/statistical modeling, query building, data sources, quality assurance
Reporting
• Using business requirements to tell the story, developing dashboards & reports that are actionable and measurable, quality assurance
Security & User Acceptance
• Audience access, viewing including how the data will be received, communications, instruction on data use
Outcomes/Insights
• Data that enables business leaders to make informed decisions"
Qualifications
"Education:
BS/BA Degree in mathematics, statistics, computer science, or a related field.
Work Experience:
• Minimum 3 years performing multiple system data validation, quality assessments, and configuration of reports and standardized dashboards
Demonstrated Skills & Abilities:
• Intermediate knowledge and skill in Business Objects and Tableau
• Writing of queries, and reports, using R and SQL
• Seeing and understanding the story data tells
• Presentation and data storytelling
• Works with minimal to moderate oversight and meets established deadlines
• Delivers defined projects with regular oversight
• Problem solving, debugging/troubleshooting and the designing and implementation of solutions to complex technical issues
• Thrives in both a team environment and as an individual contributor
Specific Certifications, Licenses:
Prefer data management, data quality, or data visualization certification"
Worthiness Qualification
Must be a member of The Church of Jesus Christ of Latter-day Saints and currently temple worthy.
Posting Notice/More Info.
Please Note: All positions are subject to close without notice.
Find out more about the many benefits of Church Employment at http://careers.churchofjesuschrist.org.
]]> | 4.2 | The Church of Jesus Christ of Latter-day Saints
4.2 | Salt Lake City, UT | Salt Lake City, UT | 10000+ employees | -1 | Nonprofit Organization | Religious Organizations | Non-Profit | Unknown / Non-Applicable | -1 | 0 | 0 | 53 | 91 | 72 | The Church of Jesus Christ of Latter-day Saints
| UT | 1 | -1 | 0 | 0 | 0 | 0 | 0 |
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 |
Supply Chain Data Analyst | $33K-$61K (Glassdoor est.) | SUMMARY
The Supply Chain Data Analyst analyzes Icon’s logistical data and provides reporting tools to understand the data and provide direction to the department director and team. The reports and dashboards provide various information on production times and costs as well as KPI reporting for Buyers and Planners. The candidate will assist others within the Solutions department in looking at their data to make informed business decisions, as well as assisting with data mining and management, evaluating trends and making recommendations for network improvement. Needs to have tangible experience with, Tableau, Excel, SQL and ideally some experience with Python.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Include the following.
Responsible for Dashboards for the Purchasing and Scheduling departments, including data reporting for our direct to consumer business. Providing fiscal and analytical analysis of each fiscal month and year to date scorecards.
Tracking and reporting of all factory KPIs including efficiency, capacity, and timeliness.
Creation of the weekly/monthly dashboards as required by the director.
Making data interactive on Tableau reporting tools to keep our visibility live and current.
Have experience with SQL language, Tableau and Excel
Ability to quickly learn ICON databases with structure and Reporting Tools.
Ability to be a team player and work with all elements of the Operations team.
Be forward thinking in how to develop the data in a way that keeps up with the latest statistical trends
QUALIFICATIONS
To perform this job successfully an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
EDUCATION and/or EXPERIENCE
Degree from college or technical school which includes data management and analysis and a minimum of six months related experience and/or training or equivalent combination of education and experience directly related to data analysis.
LANGUAGE SKILLS
No foreign language skills needed but must have the ability to write routine reports and correspondence. Ability to speak effectively before groups of customers or employees within our organization. Ability to listen to the team's needs, ask questions and generate conclusions which drive action.
MATHEMATICAL SKILLS
Ability to review and manipulate data, make recommendations and summaries of conclusions based on what evidence the data is providing. Must be willing to understand conclusions made from the reporting of data and sense check the information before submission to Department Director or management.
REASONING ABILITY
Ability to apply common sense understanding to carry out instructions furnished in written, oral, or diagram form. Ability to deal with problems involving several concrete variables in standardized situations.
CERTIFICATES, LICENSES, REGISTRATIONS
As needed for position. May require a valid driver’s license.
PHYSICAL DEMANDS
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. While performing the duties of this job, the employee is regularly required to sit. The employee is regularly required to sit. The employee frequently required to talk or hear. The employee is occasionally required to stand, walk, and reach with hands and arms. Specific vision abilities required by this job include close vision, distance vision, color vision, and peripheral vision. The employee must occasionally lift and/or move up to 25 lbs.
WORK ENVIRONMENT
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. While performing the duties of this job, the employee is occasionally exposed to the risk of electrical shock. The noise level in the work environment is usually moderate.
"We do not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, ancestry, mental or physical disability, sexual orientation, gender identity, medical condition, genetic information, marital status, Veteran status or any other characteristic protected by law." | 3.1 | Icon Health and Fitness
3.1 | Logan, UT | Logan, UT | 1001 to 5000 employees | 1,977 | Company - Private | Consumer Products Manufacturing | Manufacturing | $500 million to $1 billion (USD) | Life Fitness, Brooks Running, Under Armour | 0 | 0 | 33 | 61 | 47 | Icon Health and Fitness
| UT | 1 | 43 | 1 | 0 | 0 | 0 | 1 |
Data Engineer - ETL | $44K-$86K (Glassdoor est.) | Job Description
Shipt is a membership-based marketplace that helps people get the things they need. Our friendly shoppers handpick fresh groceries and household essentials and deliver them to members in as soon as one hour.
Shipt is a data driven company where the data is both the lifestream and secret sauce to our success. We're looking to grow the Data Engineering team to help expand and grow our large-scale data processing platform, pipelines, and tools. If you are self-directed, enjoy autonomy in your work, and an excellent participant in a team, come join Shipt.
What does Data Engineering Do at Shipt?
Data Engineering at Shipt primarily focuses on retailer catalog and general product data for e-commerce purposes. The team focuses on developing pipeline frameworks; specific processes to ingest, clean, and normalize a variety of data sources; and tools to improve data quality and fidelity.
As catalog data is fundamental to the grocery delivery experience, our team plays a large part in the Shipt marketplace on a daily basis and helps facilitate the company's growth plans. Our roles are ever evolving as we grow into new verticals, expand product features, and build relationships with other companies.
Your Responsibilities
Develop and maintain pipelines responsible for ingesting large amounts of data from a wide range sources
Develop and scale our data processing platform and services so that we can quickly and reliably process large amounts of data
Help evolve our data model for new retailers and new retail verticals
Work with other teams in the organization (e.g., Engineering, Catalog) to build tools and solutions that support and help manage data within the Shipt ecosystem
Collaborate with other teams across the organization (e.g., Partner Success, Data Science) to enable the better use and understanding of data
Keep the big picture in mind so that our architectural patterns can better consume and validate source data
Build and experiment with different tools and tech, and share your learnings with the broader organization
You may be a fit for this role if you
Like to be challenged by a variety of projects, each with different goals, teams, and technology
Want to build interesting solutions to unique problems
Enjoy collaborating with others, both as part of the same team and across departments
Some Projects You Might Work On
Architect a series of data pipelines to retrieve new product content from external APIs and coordinate mass updates across our product libraries
Research and evaluate tradeoffs between new data processing technologies to incorporate into our data stack
Develop and implement a shopper pick list sorted by past deliveries from highly efficient shoppers & orders to reduce grocery shop time
Requirements
2+ years of direct experience in a full-time data engineering role
Proficiency in Python is required (this is our primary language)
Proficiency in SQL is required (we use PostgreSQL and Redshift)
A keen attention to detail
Experience with queues and/or streams (we primarily use AWS SNS + SQS)
Experience with key-value stores (we primarily use Redis and DynamoDB)
Experience with a large-scale framework (e.g., Spark) is a plus
Experience with any/all of Go, Scala, Java, or Ruby is a major plus
A Bachelor's Degree in a technical field or equivalent work experience
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. | 3.8 | Shipt
3.8 | Birmingham, AL | Birmingham, AL | 501 to 1000 employees | 2,014 | Subsidiary or Business Segment | Consumer Product Rental | Consumer Services | Unknown / Non-Applicable | -1 | 0 | 0 | 44 | 86 | 65 | Shipt
| AL | 1 | 6 | 1 | 0 | 1 | 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 |
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 |
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 Analyst | $69K-$119K (Glassdoor est.) | Are you passionate about solving challenging problems?
Do you thrive being a critical part of an elite team of like-minded people?
How would you like for your next career move to take you to the next level?
If any of this sounds appealing, look no further.
Job Description:
The Data Analyst will apply expertise in quantitative analysis, data mining, and data presentation to comprehend and identify trends and will provide technical solutions to a wide range of difficult problems.
The selected candidate will have the unique opportunity to support the customer through the application of programmatic and quantitative methods to identify patterns and relationships in large data sets using mathematical, statistical, and other data-driven analysis to address intelligence questions. The Data Analyst will apply and enhance their skills with developing, running, and analyzing results of complex queries against massive scale data stores/data processing environments.
Basic Qualifications:
The Data Analyst will provide imaginative, thorough, practicable, and consistent solutions with organizational objectives, work under general direction, and determine and develop approaches to solutions independently.
Present findings to both technical and non-technical collaborators and stakeholders.
Gather and analyze data across sources and systems to identify trends and derive recommendations or make predictions.
Generate and compile reports to provide a holistic comprehension of important performance metrics for more informed decision-making.
Position requires a Bachelor's degree.
Position requires five (5) years of related experience.
Experience with All-Source data analysis to perform technical targeting analytic support in the Intelligence Community.
Developing and using computer languages (e.g. Python, R, Pig, Java, C, SQL, ECL) to perform large scale parallel processing of data, and to develop, validate, and use methodologies to support analytic requirements in clustered computing environments.
Knowledge of SQL and databases
Experience using analytic techniques and tools to conduct technical targeting analytic support to the customer.
Ability to collaborate with technical teams to provide solutions.
Experience developing custom algorithms to support analytic requirements against massive data stores.
Desired Skills:
Experience in the Intelligence Community.
Security Clearance:
Active TS/SCI Poly security clearance required.
So, what does Novetta do?
We focus on three core areas: Cyber, Entity, and Multi-Int Analytics. Our products are focused on processing and analyzing vast amounts of data in these core areas. Our services are focused on helping our customers move from complexity to clarity. At Novetta, we bridge the gap between what our customers think they can do and what they aspire to achieve.
Our culture is shaped by a commitment to our Core Values:
Integrity: We hold ourselves accountable to the highest standards of integrity and ethics.
Customer Mission Success: Customer mission success drives our daily effortswe strive always to exceed customer expectations and focus on mission success beyond contractual commitments.
Employee Focus: We value our employees and demonstrate our commitment to them by providing clear communications, outstanding benefits, career development, and opportunities to work on problems and technical challenges of national significance.
Innovation: We believe that innovation is critical to our success that discovering new and more effective ways to achieve customer mission success is what makes us a great company.
GET A REFERRAL BONUS FOR THE GREAT PEOPLE YOU KNOW!
With our amazing referral program, you could be eligible to earn
outstanding rewards for referring qualified new hires to Novetta.
Novetta is an equal opportunity/affirmative action employer.
All qualified applicants will receive consideration for employment without regard to sex,
gender identity, sexual orientation, race, color, religion, national origin, disability,
protected veteran status, age, or any other characteristic protected by law. | 4 | Novetta
4.0 | Herndon, VA | Mc Lean, VA | 501 to 1000 employees | 2,012 | Company - Private | Enterprise Software & Network Solutions | Information Technology | $100 to $500 million (USD) | Leidos, CACI International, Booz Allen Hamilton | 0 | 0 | 69 | 119 | 94 | Novetta
| VA | 0 | 8 | 1 | 0 | 0 | 0 | 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 |
Senior Data Engineer | $67K-$127K (Glassdoor est.) | Are you passionate about solving challenging problems?
Do you thrive being a critical part of an elite team of like-minded people?
How would you like for your next career move to take you to the next level?
If any of this sounds appealing, look no further.
Job Description:
Novetta has an immediate need for a Senior Data Engineer to join a fast paced program in support of a Government customer with a very critical National Security mission. This is a multi-year program, where the successful candidate will work in an interdisciplinary project team of more than 30 highly qualified individuals with a wide array of skills that include client (reactjs), server (spring java), QA Automation Engineers, UI/UX Designers, and DevOps engineers. The team is responsible for building a next generation Mission Information System and is performing greenfield Software Development using modern technologies via an Agile DevOps approach.
This Senior Data Engineer will play a vital role collaborating as part of this cross-functional Agile team to create and enhance data ingestion pipelines and address big data challenges. The Senior Data Engineer will work closely with the Chief Architect, systems engineers, software engineers, and data scientists on the following key tasks:
Provide Extraction, Transformation, and Load (ETL) experience coupled with enterprise search capabilities to solve Big Data challenges
Design and implement high-volume data ingestion and streaming pipelines using Open Source frameworks like Apache Spark, Flink, Nifi, and Kafka on AWS Cloud
Leverage strategic and analytical skills to understand and solve customer and business centric questions
Create prototypes and proofs of concept for iterative development
Learn new technologies and apply the knowledge in production systems
Monitor and troubleshoot performance issues on the enterprise data pipelines and the data lake
Partner with various teams to define and execute data acquisition, transformation, processing and make data actionable for operational and analytics initiatives
Required Qualifications / Experience:
BS in Computer Science, Systems Engineering, or a related technical field or equivalent experience with at least 8+ years in systems engineering or administration (6+ years with a MS/MIS Degree).
Must have an active Top Secret security clearance and able to obtain a TS/SCI with Polygraph.
3 years of experience with big data tools: Hadoop, Spark, Kafka, NiFi
3 years of experience with object-oriented/object function scripting languages: Python (preferred) and/or Java
3 years of experience with and managing data across relational SQL and NoSQL databases like MySQL, Postgres, Cassandra, HDFS, Redis, and Elasticsearch
3 years of experience working in a Linux environment
2 years of experience working with and designing REST APIs
Experience in designing/developing platform components like caching, messaging, event processing, automation, transformation and tooling frameworks
Experience developing data ingest workflows with stream-processing systems: Spark-Streaming, Kafka Streams and/or Flink
Experience transforming data in various formats, including JSON, XML, CSV, and zipped files
Experience with performance tuning of ETL jobs
Experience developing flexible ontologies to fit data from multiple sources and implementing the ontology in the form of database mappings / schemas
Strong interpersonal and communication skills necessary to work effectively with customers and other team members.
Preferred Qualifications / Experience:
- Data engineering experience in the Intelligence Community or other government agencies
Experience with Microservices architecture components, including Docker and Kubernetes. Experience developing microservices to fit data cleansing, transformation and enrichment needs.
Experience with AWS cloud services: EC2, S3, EMR, RDS, Redshift, Athena and/or Glue
Experience with Jira, Confluence and extensive experience with Agile methodologies.
Knowledge about security and best practices.
Experience developing flexible data ingest and enrichment pipelines, to easily accommodate new and existing data sources
Experience with software configuration management tools such as Git/Gitlab, Salt, Confluence, etc.
Experience with continuous integration and deployment (CI/CD) pipelines and their enabling tools such as Jenkins, Nexus, etc.
Detailed oriented/self-motivated with the ability to learn and deploy new technology quickly
Clearance Level: TS/SCI with Poly
So, what does Novetta do?
We focus on three core areas: Cyber, Entity, and Multi-Int Analytics. Our products are focused on processing and analyzing vast amounts of data in these core areas. Our services are focused on helping our customers move from complexity to clarity. At Novetta, we bridge the gap between what our customers think they can do and what they aspire to achieve.
Our culture is shaped by a commitment to our Core Values:
Integrity: We hold ourselves accountable to the highest standards of integrity and ethics.
Customer Mission Success: Customer mission success drives our daily effortswe strive always to exceed customer expectations and focus on mission success beyond contractual commitments.
Employee Focus: We value our employees and demonstrate our commitment to them by providing clear communications, outstanding benefits, career development, and opportunities to work on problems and technical challenges of national significance.
Innovation: We believe that innovation is critical to our success that discovering new and more effective ways to achieve customer mission success is what makes us a great company.
GET A REFERRAL BONUS FOR THE GREAT PEOPLE YOU KNOW!
With our amazing referral program, you could be eligible to earn
outstanding rewards for referring qualified new hires to Novetta.
Novetta is an equal opportunity/affirmative action employer.
All qualified applicants will receive consideration for employment without regard to sex,
gender identity, sexual orientation, race, color, religion, national origin, disability,
protected veteran status, age, or any other characteristic protected by law. | 4 | Novetta
4.0 | Reston, VA | Mc Lean, VA | 501 to 1000 employees | 2,012 | Company - Private | Enterprise Software & Network Solutions | Information Technology | $100 to $500 million (USD) | Leidos, CACI International, Booz Allen Hamilton | 0 | 0 | 67 | 127 | 97 | Novetta
| VA | 0 | 8 | 1 | 0 | 1 | 1 | 0 |
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 |
Data Modeler (Analytical Systems) | $66K-$117K (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 MassMutuals Enterprise Technology & 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 a Data Modeler to join our team.
What great looks like in this role
Our ideal Data Modeler has advanced knowledge of application, data, and infrastructure disciplines. Youll use your skills to implement data strategies, build data flows, and develop conceptual data models. Youre capable of working independently and communicating effectively to provide feedback on policies, procedures, processes, and 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
Manage database design and data models for a specific application.
Analyze existing data and recommend changes that lead to a reduction of stored data without impacting business requirements.
Daily and monthly responsibilities
Perform as a technical data steward understanding tables, data use, data replication, data connection, and data lineage and take accountability for data hygiene.
Review existing data model and recommend changes to optimize data requirements.
Analyze source system data and look for data redundancy and duplication.
Work with Application Architects to review exiting data models and suggest action to reduce input data for storage optimization.
Work with the development team to implement data strategies, build data flows, and develop conceptual data models.
Create logical and physical data models using best practices.
Delivers and provides feedback for data modeling policies, procedure, processes and standards.
Assists with capturing and documenting system flow and other pertinent technical information about data, database design, or systems.
Basic Qualifications
Bachelors degree in computer engineering, computer science, information systems, or related field.
5+ years experiences with data analytics, data modeling or data architecture and database design.
Experience in data modeling or data architecture in transactional and operational reporting and analytical (EDW, Data Lake, NoSQL) solutions.
Experience with capacity planning, database scripting and package deployment
Good knowledge of data replication methodology.
Good knowledge of data warehouse, data mart and Data Lake
Experience with AWS and cloud-based databases and data warehouses.
Authorized to work in the United States with or without sponsorship now or in the future.
Preferred Qualifications
Advanced knowledge of application, data and infrastructure disciplines.
Experience with Vertica Database.
Experience with Life Insurance or any insurance related products
Expertise in tuning and debugging SQL and resolving application specific bottlenecks.
Experience facilitating meetings and providing presentations to stakeholders and senior leaders.
Experience using (Erwin, TOAD, or any other data modeling tool) for data modeling.
Data modeling, data warehousing, dimensional modeling, data modeling for big data and metadata management.
Data Lake and Big Data modeling experience.
Excellent communication, problem solving, organizational and analytical skills
Understanding of enterprise and reporting modeling concepts, including dimensional modeling, snowflakes, slowly changing dimensions, schema on read, irregular dimensions, and surrogate, compound and intelligent keys.
Advanced degree in computer engineering, computer science, information systems, or related field.
Able to work independently.
Experience with Hadoop, Spark, and Kafka
Experience with Scala
Strong communication and interpersonal skills.
Ability to present design of the solution to various stakeholders.
Experience in data modeling and design in the insurance and financial industries | 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 | 66 | 117 | 91.5 | MassMutual
| MA | 0 | 169 | 0 | 0 | 1 | 1 | 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 |
Data Scientist in Translational Medicine | $86K-$143K (Glassdoor est.) | 29-Jan-2020
Job ID
287818BR
{"QuestionName":"Job Description","AnswerValue":"20 petabytes of data! 2 million patient-years of information and 30 data domains from preclinical through Phase 3 trials! All waiting for you to unlock the next breakthrough in medicine.
As a member of the Quantitative Sciences & Innovation (QSI) unit in Biomarker Development, you will join Novartis’ clinical trial teams to speed new medicines into the clinic across one of the industry’s largest and most innovative portfolios. By integrating large-scale genomic and biomarker profiles from First In Human through Phase III clinical trials, you will investigate disease heterogeneity, drug efficacy, and patient safety at molecular resolution to advance trials in new indications and patient populations. You are passionate and curious scientist, eager to bring creative solutions to biology’s most daunting challenges on our journey to reimagine medicine. Working alongside dedicated physicians and biomarker scientists, our Data Scientists provide the analytical insights that drive Translational success
Your responsibilities will include:
• Conceive, design, and execute exploratory analyses as Lead Biomarker Analyst within First In Human, Phase I-III clinical trials, applying advanced analytical methods as required
• Provide Statistical Genetics subject matter expertise and analysis solutions to inform patient stratification and enrichment strategies
• Participate in and lead cross-functional biomarker collaborations with Discovery and Development partners to support target selection and registration activities
• Work expeditiously as a member of matrixed clinical trial teams with diverse membership and expertise
.
Posting Title
Data Scientist in Translational Medicine | 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 | 0 | 0 | 0 | 0 | 0 |
Data Scientist | $84K-$146K (Glassdoor est.) | USEReady is looking for 2-3 Data Scientist to join our Team:
Predictive models in R or Python
Large scale distributed computing and analytics (Hadoop, Spark)
Detailed Knowledge of SQL
Data Cleaning and Preparation
Machine Learning and Text Mining
Analytics & Statistical modelling, NLP
Azure, AWS, Google Cloud
Data Bricks Experience is a plus
Immediate Interviews!!
About USEREady:
Please visit our website at www.useready.com
USEReady Inc. was founded in 2011 and our mission is to help organizations succeed by fast tracking their business performance. We relentlessly strive towards value-driven innovation using advanced BI, data management, and infrastructure management services.
With offices in New York, New Jersey and Bangalore, our global delivery service is enriched with winning strategies, technology expertise and customer fanaticism. We have a proven track record of success in various domains such as capital markets, insurance, healthcare, pharma, retail and media.
Ranked #113 in Inc. 5000
Red Herring Top 100 North America Winner
Tableau Gold Partner for 5 consecutive years
Tableau Services Partner of the Year 2015
Tableau Services & Training and Alliance partner nominee of the year 2016
Alteryx, Collibra, Snowflake, AWS & Microsoft Partner
Key partners for Informatica
2017 Tableau Software Partner Award Winners
2018 Tableau Marketing Innovation Award | 4.3 | USEReady
4.3 | New York, NY | New York, NY | 201 to 500 employees | 2,011 | Company - Private | Consulting | Business Services | $10 to $25 million (USD) | -1 | 0 | 0 | 84 | 146 | 115 | USEReady
| NY | 1 | 9 | 1 | 0 | 1 | 1 | 0 |
Product Manager/Data Evangelist | $50K-$98K (Glassdoor est.) | Product Manager/Data EvangelistSUMMARY
Manage business relationships with syndication partners and work with data analytics teams to develop and deliver data products for partners. Engage with partners to build Proof of Concept (POC) and KPI’s to deliver on user requirements and improve and manage user experience
Understand how existing processes impact end customers and work closely with cross-functional teams to create new approaches for delivering data and reporting products.
Understand customer behavior and needs and be able to translate that into product requirements.
RESPONSIBILITIES
Support the collecting and leveraging of data for decision making with new data streams
Develop POC’s for possible measures that could result in syndication of data products
Determine accuracy and relevance of data and answer questions such as
are the data sources applicable
are calculations and measures relevant and meaningful
what additional information can assist with data-driven decisions
Utilize current in-house analytics/data science resources to deliver insights from data
Understand systems that generate this data and how to leverage to solve customer issues
Regularly engage with syndicated partners to understand need for insights and pain points
Document and drive initiatives to achieve insights for syndicated partners
REQUIREMENTS
Hands-on knowledge of SQL and some programming/scripting knowledge, ideally with Scala, Java, Python, etc.
Ability to work with data scientists & engineers to solve customer technical problems
Knowledge of public cloud environments such as AWS/AZURE etc.
Passionate about solving / driving solutions through data insights
Bachelor's degree or equivalent education/experience
Master’s degree preferred (Economics, Data Science, Marketing) | 3.2 | Numeric, LLC
3.2 | Phila, PA | Chadds Ford, PA | 1 to 50 employees | -1 | Company - Private | Staffing & Outsourcing | Business Services | $5 to $10 million (USD) | -1 | 0 | 0 | 50 | 98 | 74 | Numeric, LLC
| PA | 0 | -1 | 1 | 0 | 0 | 1 | 0 |
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 |
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 |
Senior Data Scientist – Visualization, Novartis AI Innovation Lab | $92K-$150K (Glassdoor est.) | 10-Oct-2019
Job ID
279466BR
{"QuestionName":"Job Description","AnswerValue":"Two companies and one incredible alliance.
Novartis and Microsoft have formed alliance to leverage data & Artificial Intelligence (AI) to develop transformative medicines faster and more cost-effectively for patients worldwide.
We are seeking a thought leader and team builder to join the Novartis Innovation AI Lab to advance the field of Life Science and healthcare analytics.
In this newly formed alliance with Microsoft, you will lead Visualization analysis for Novartis .
In this newly created role, you will:
• Conduct end-to-end Visualization analysis of large scale healthcare data sets
• Take a hands-on role and deliver on highly visible multiple projects
• Serve as an ambassador for Novartis Data Science by presenting and publishing articles at conferences, business meetings and academic institutions
• Facilitate design and creation of knowledge repositories
• Collaborate with the digital and DSAI teams
• Keep ahead of latest development in the field and mentor associates
• Inspire others on culture change
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.
Posting Title
Senior Data Scientist – Visualization, Novartis AI Innovation Lab | 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 | 92 | 150 | 121 | Novartis
| MA | 0 | 24 | 0 | 0 | 0 | 0 | 0 |
Senior Data Analyst/Scientist | $90K-$153K (Glassdoor est.) | The world's largest and fastest-growing companies such as Accenture, Adobe, DocuSign and Salesforce rely on Demandbase to drive their Account-Based Marketing strategy and maximize their B2B marketing performance. We pioneered the ABM category nearly a decade ago, and today we lead the category as an indispensable part of the B2B MarTech stack. Our achievements and innovation would not be possible without the driven and collaborative teams here at Demandbase. As a company, we're as committed to growing careers as we are to building word-class technology. We invest heavily in people, our culture and the community around us, and have continuously been recognized as one of the best places to work in the Bay Area.
We are a group of talented individuals with deep expertise in the domain area of business applications and building large complex systems with simple user interfaces. We also have deep expertise in big data technology such as IR, NLP, and large graphs and utilize the best technology to provide innovative and novel products to frustrated end-users in the enterprise.
As a Senior Data Analyst, you will work directly with Product Management, Engineering, and Data Science teams to understand how our customers are using the various products within our platform, find ways we can improve them, and identify and detect problems before they impact our customers. You should have strong SQL and statistical analysis skills and be able to dive deep into difficult problems and find pragmatic solutions.
What you'll be doing:
Work with the Product Management, Engineering, and Data Science teams to make data-driven decisions about the direction of our products.
Design and build new dashboards using BI tools to make the insights you discover consumable and actionable to a broader audience.
Quantify the impact of newly released features and functionality and identify opportunities for further improvement.
Identify new ways to detect problems before they impact customer experience.
Discover opportunities for new features and functionality that will drive customer value and engagement within our products.
What we're looking for:
3+ years experience in data analysis or data science
Bachelor's degree in statistics, mathematics, computer science, or a related field
Strong proficiency in SQL is required
Experience working with SaaS product usage data
Expertise with at least one business intelligence tool (Tableau, Looker, Domo, Power BI, Data Studio, etc)
Machine learning experience is a plus
Benefits:
Our benefits include 100% paid for Medical, Dental and Vision for you and your entire family, 100% paid for short-term and long-term disability, 100% paid for life insurance, 401k, flexible vacation policy, commuter benefits, free snacks, catered lunch every Friday, and much more!
About Demandbase
Demandbase is the leader in Account-Based Marketing (ABM) and an indispensable part of the B2B tech stack. The company offers the only end-to-end ABM platform that helps B2B marketers identify, win and grow the accounts that matter most. The biggest and fastest growing companies in the world, such as Accenture, Adobe, DocuSign, GE, Salesforce and others rely on Demandbase to drive their ABM strategy and maximize their marketing performance. The company has been named to the JMP Securities list "The Hot 100: The Best Privately Held Software Companies," the Deloitte Fast 500 and named a Gartner Cool Vendor for Tech Go-To Market. In 2019, Demandbase executives authored the definitive book on ABM, Account-Based Marketing: How to Target and Engage the Companies That Will Grow Your Revenue. For more information, please visit www.demandbase.com or follow the company on Twitter @Demandbase. | 4.5 | Demandbase
4.5 | San Francisco, CA | San Francisco, CA | 201 to 500 employees | 2,006 | Company - Private | Computer Hardware & Software | Information Technology | $100 to $500 million (USD) | Engagio, Bombora, Terminus | 0 | 0 | 90 | 153 | 121.5 | Demandbase
| CA | 1 | 14 | 0 | 0 | 0 | 0 | 0 |
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 |
Scientist – Cancer Discovery, Molecular Assay | Employer Provided Salary:$100K-$135K | Scientist – Cancer Discovery, Molecular Assay
Location: Cambridge, MA
We are seeking an energetic and self-motivated PhD scientist to join a team of scientists working towards discovery of unique anti-cancer compounds for the treatment of targeted patient populations. The candidate will be a highly creative cancer biologist with a strong desire to succeed at the highest level. This individual will lead drug discovery projects in a team environment and direct the activities of research associates under their supervision.
Principal Duties and Responsibilities
Independently design, execute and interpret cell based experiments to optimize compound selection and explore therapeutic potential of drug targets.
Lead drug discovery biology efforts to selection of lead candidate molecules and transition into clinical development
Design and develop cell and molecular assays to define mechanism of action for compounds, identify pharmacodynamic assays for utility in pre-clinical and clinical setting and test patient selection strategies
Utilize literature and internal genomics data sets to design and test hypothesis for drug targets
Interpret, present and report research findings at internal meeting an external scientific conferences
Manage and direct the activities of a group of research associates
Design strategies for cloning fusion reporter gene vectors, identify CROs to perform cloning and manage execution of the work.
Generated and maintain reporter cell lines
Perform viability assays, western blotting, and/or flow cytometry/FACS to analyze effect of small molecules on reporter expression
Validation of hits from high-throughput screens using medium-throughput plate based cellular assays, and high content cellular imaging assays. Strong understanding and hands-on experience with high content microscopy
Capability to develop, run and troubleshoot new assays in a high-throughput environment
Lead projects in the area of pooled cDNA or shRNA screens and NGS
Job Qualifications:
Ph.D equivalent in cell/molecular biology, Cancer Biology or genetics with 0-3 years industrial experience or MS with 10+ years of experience
Previous history of drug discovery with in Cancer Biology application
Experience with state of the art molecular biology methods and assays essential to drive projects such as transfection and transduction techniques and working with pooled cDNA or shRNA libraries
Experience developing multi channel FACS based screening assays
Proven track record for striving for high level of innovation and scientific excellence
Excellent management, training and education skills
Excellent interpersonal skills with a proven record of empowering world class science and energizing teams
Flexibility to accommodate to rapidly changing priorities and deadlines
Ability to work in a team-based environment
Excellent oral and written communication skills
Interested Candidates may forward CV and Cover Letter to Careers-US@MonterosaTx.com
Monte Rosa Therapeutics rational approach in targeting disease-causing proteins for degradation will deliver pioneering therapies for cancer and other diseases. Delivering this new generation of treatments to the patients requires a conceptual change. Monte Rosa recognizes this urgent need and is missioned to develop innovative protein degraders as a solution. Combining deep knowledge, insight and leading-edge science, our integrated engine is built for that purpose. | -1 | Monte Rosa Therapeutics | Cambridge, MA | -1 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | 0 | 1 | 100 | 135 | 117.5 | Monte Rosa Therapeutics | MA | 0 | -1 | 0 | 0 | 0 | 0 | 1 |
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 |
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 |
Data Engineer | $42K-$79K (Glassdoor est.) | Data Engineer
9920
Scottsdale,
3/27/2019 1:46:38 PM
Application Development
Contractor - W2
Job Description
Data Engineer / Lead
4-5 years of experience in ETL, SQL, Python, Data Management and Spark and strong fundamentals in distributed environments
Real project implementations with Big Data technologies based on Spark
Experience working on Serverless technologies
Experience implementing NoSQL technologies – Mongo or Cassandra
Experience with AWS cloud services: Lambda, S3, Glue, Redshift, and Athena, or their open source equivalent (Zeppelin, Presto, etc)
Data storage formats – Parquet, JSON, AVRO etc.
Experience with real-time data sources and message ingestion for processing by filtering, aggregating, and preparing the data for analysis using technologies such as Spark Streaming and Kafka, AWS Kinesis, Firehose etc.
Experience with data pipelining
Understanding of best practices within the development process
Build processes supporting data transformation, data structures, metadata, dependency and workload management
CI/CD and DevOps tools such as BitBucket/Git, Bamboo, and Maven
AWS technologies – Cloudwatch, CloudFormation, Security (IAM)
AWS certification
Job Requirements | 3.4 | IntraEdge
3.4 | Scottsdale, AZ | Chandler, AZ | 501 to 1000 employees | 2,002 | Company - Private | IT Services | Information Technology | $50 to $100 million (USD) | -1 | 0 | 0 | 42 | 79 | 60.5 | IntraEdge
| AZ | 0 | 18 | 1 | 0 | 1 | 1 | 0 |
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 |
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 |
Big Data Engineer | $84K-$153K (Glassdoor est.) | Overview
Technology is constantly changing, and our adversaries are digitally “going dark” at a rate that is exceeding law enforcement’s ability to keep pace. Those charged with protecting the United States are not always able to access the evidence needed to prosecute crime and prevent terrorism. The Government has trusted in Peraton to provide the technical ability, tools, and resources to bring criminals to justice. In response to this challenge, we are seeking a talented Big Data Engineer.
Responsibilities
What you’ll do…
Provide proven, industry leading Big Data Extraction, Transformation, and Load experience coupled with enterprise search capabilities to solve Big Data challenges
Work on a team leveraging Apache NiFi to develop and maintain workflows that load diverse data sets into a data lake leveraging the following technologies:
Apache NiFi (in a cluster configuration)
Git
Python
Zookeeper
Kafka
Hadoop
Spark
Accumulo
Groovy
MySql
Cygwin
Java
Qualifications
You’d be a great fit if…
You’ve obtained a BS degree and have eight (8) years of relevant experience. However, equivalent experience may be considered in lieu of degree.
You have three (3) or more years of experience with:
PL/SQL, SQL
Oracle 11g and 12c
Informatica, XML, XSLT, Java, web services
SVN, RCS, Git, OLS Security, JIRA
Sun Solaris OS, Linux (CentOS, Red Hat), and Windows
You have two (2) years or more experience using ETL tools to perform data cleansing, data profiling, transforming, and scheduling various workflows
You have a current Top Secret security clearance with SCI eligibility and the ability to obtain a polygraph
It would be even better if you…
Have hands on experience with any of the following technologies:
Atlassian Suite: Jira, Confluence, Bitbucket, Bamboo
VMWare Player
Linux, specifically CentOS
Linux scripting
AWK, PERL, BASH or other scripting language
SOLR
Jenkins configuration to perform O&M operations
Spark
What you’ll get…
An immediately-vested 401(K) with employer matching
Comprehensive medical, dental, and vision coverage
Tuition assistance, financing, and refinancing
Company-paid infertility treatments
Cross-training and professional development opportunities
Influence major initiatives
*This position requires the candidate to have a current Top Secret security clearance and the ability to obtain a polygraph. Candidate must possess SCI eligibility.
About Peraton
At Peraton, we’re at the forefront of delivering the next breakthrough in national security, every day. We’re the partner of choice to help solve some of the world’s most daunting challenges. How? By thinking differently. We’re not mired in the past. We look at all problems with fresh eyes. We look past the obvious to bring the best talent, tech, and ideas together to completely transform how problems are solved. So bring your unique ideas, your entrepreneurial spirit, and your drive to succeed. Get ready to be part of something bigger. Get ready to do the can’t be done.
EEO Statement
We are an Equal Opportunity/Affirmative Action Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state, or local law. | 3.3 | Peraton
3.3 | Chantilly, VA | Herndon, VA | 1001 to 5000 employees | 2,017 | Company - Private | Aerospace & Defense | Aerospace & Defense | $1 to $2 billion (USD) | -1 | 0 | 0 | 84 | 153 | 118.5 | Peraton
| VA | 0 | 3 | 1 | 0 | 1 | 0 | 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 |
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 |
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 |
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 |
Data Engineering Analyst | $44K-$73K (Glassdoor est.) | As a Data Engineering Analyst with the Life and Health team at COUNTRY Financial, you will assist with building and maintaining optimized data foundations that facilitate deeper analysis and reporting. On this highly collaborative team, you will work on a variety of efforts for constructing data pipelines and often must use complex tools and techniques to handle data at scale. This role is responsible for the maintenance, improvement, cleaning and manipulation of data in the business’s operational and analytics databases.
Establishes database management systems, standards, guidelines and quality assurance for database deliverables, such as conceptual design, logical database, capacity planning, external data interface specification, data loading plan, data maintenance plan and security policy. Researches and prototypes data pipelines, hardens POC/MVP tools and pipelines for Production and partners with predictive modelers and data scientists to deploy machine learning models into a production environment. Works closely with the Enterprise Data Warehouse team to collaborate on process patterns and best practices in the areas of adhoc analysis, research, proof of concepts and deploying working tools to production.
Responsibilities:
Works with the enterprise “Community of Excellence” to develop standards and best practices for engineering for data and machine learning.
Develops Data Pipelines for dashboard development, machine learning models and exploratory data analysis.
Iteratively delivers functionality using DevOps tools and concepts, including but not limited to, Linux/Unix command line, Docker Containers, SQL (i.e. Hive), Git through the command line, Spark/PySpark and Python.
Preferred Qualifications:
Advanced SQL.
Experience with relational database systems (i.e. DB2, SQL Server).
Experience with Hadoop tools.
Experience with Python.
Understanding of data design concepts (i.e. data modeling, data mapping).
Required Qualifications:
Typically requires:
Bachelor's degree and at least 2 years of machine learning, data engineer or related experience OR,
Master's degree and no experience OR,
At least 4 years of machine learning, data engineer or related experience.
Physical Requirements:
Normal office environment.
Work may extend beyond normal business hours as business needs dictate. | 3.8 | COUNTRY Financial
3.8 | Bloomington, IL | Bloomington, IL | 1001 to 5000 employees | 1,925 | Company - Private | Insurance Carriers | Insurance | $2 to $5 billion (USD) | Northwestern Mutual, American Family Insurance, MetLife | 0 | 0 | 44 | 73 | 58.5 | COUNTRY Financial
| IL | 1 | 95 | 1 | 0 | 1 | 0 | 1 |
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 |
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 |
Manager of Data Science | $40K-$87K (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
Technical Leadership
Lead a team of machine learning engineers through technical challenges. Provide hands-on guidance, code/scope review.
Big picture strategy on data product roadmapping
Management
Build, scale, shape the data science team according to org values & needed skills.
Interface with stakeholders & partners and build relationships.
Track the granular details on progress of work and communicate it outwards to a lay audience.
Hosting meetings & leading presentations.
Competencies
Communication: Distill complex machine learning concepts to a lay business audience. Framework for visibility on progress for multiple projects simultaneously.
Experience as a frontline manager, leading teams of 3 or more.
Solid coding skills in SQL and in a scripting language like Python. Packages: scikit-learn & TensorFlow. Scaling GPU clusters to train deep neural networks.
Experience with BigQuery or PySpark or another modern method to access data.
Deep expertise in recommendation systems, classification models, class imbalance, model calibration, exploration/exploitation techniques, deep learning.
Skills > credentials.
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.
]]> | 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 | 40 | 87 | 63.5 | Tapjoy
| CA | 1 | 13 | 1 | 0 | 1 | 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.
California Privacy Notice
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 |
Software Engineer (Data Scientist/Software Engineer) - SISW - MG | $72K-$142K (Glassdoor est.) | Software
Engineer (Data Scientist/Software Engineer)
Job
Qualifications:
The successful candidate will possess the following
combination of education and experience:
BS or
MS in Data Sciences, Computer Science, Electrical Engineering, Physics or
Applied Mathematics.
Working
knowledge in development of C and C++ on UNIX and/or LINUX platforms.
Excellent
programming skills in at least one mainstream scripting language, preferably
Python.
Experience/knowledge
in data analysis.
Experience/knowledge
in machine learning technology.
Experience
with Python, Keras and Tensorflow.
Demonstrated
ability to learn and explore new technologies.
Excellent
analysis and problem-solving skills.
Must
have the ability to collaborate closely with other members of the team and
develop critical components consistently and in a timely manner.
Experience
with MATLAB/R or equivalent mathematical package is expected.
Job
Description:
We are looking for a highly motivated engineer to work in
the RET team in the Calibre business unit. In this role you will be responsible
for analyzing modeling data (experimental and synthetic/simulated) and coming
up with novel ways to organize it, while deriving meaningful operations and
extracting maximum information from this data. You will also be expected to
develop supporting software that will be properly integrated in the modeling
suite of tools that are used specifically in modeling of semiconductor
manufacturing. You will be teaming up with a group of senior software engineers
contributing to final production-level quality of new components and algorithms
and to support existing components. This is a unique role that will challenge
you and allow you to grow in interdisciplinary areas of software engineering
and data analysis. Knowledge and experience in the area of data science/data
analysis is preferred. Some familiarity with physical modeling of any
discipline (e.g. from fields in electrical or mechanical engineering) will be
very useful for the suitable candidate.
#LI-MGRP
Organization: Digital Industries
Company: Mentor Graphics Corporation
Experience Level: Experienced Professional
Job Type: Full-time
Equal Employment Opportunity Statement
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
EEO is the Law
Applicants and employees are protected under Federal law from discrimination. To learn more, Click here.
Pay Transparency Non-Discrimination Provision
Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here.
California Privacy Notice
California residents have the right to receive additional notices about their personal information. To learn more, click here. | 4.1 | Mentor Graphics
4.1 | Fremont, CA | Wilsonville, OR | 5001 to 10000 employees | 1,981 | Company - Public | Computer Hardware & Software | Information Technology | $1 to $2 billion (USD) | Cadence Design Systems, Synopsys, Altium Limited | 0 | 0 | 72 | 142 | 107 | Mentor Graphics
| CA | 0 | 39 | 1 | 0 | 0 | 0 | 1 |
Data Engineer | $74K-$137K (Glassdoor est.) | Maxar is seeking an independent, creative and driven Data Engineer to help our team by analyzing and characterizing big data and a range of other data sources for National Security purposes. The ideal candidate is passionate about technology and able to learn quickly.
Why us?
We build advanced algorithms to gain analytic insights from a large range of open source and government data
We enable machine learning systems, automate workflow, and design and develop custom applications for unique national-security mission
We operate an end-to-end predictive analytic platform unlike any other within the US Government
We provide training to expand your skills and challenges to develop them
Our clients missions are vital to national security, so were mission-first always
Our work environment is relaxed business casual
At our core we believe and practice social responsibility
What would you be doing?
Work with a variety of data at a variety of volumes and velocity on Linux systems connecting to multiple data sources
Using Niagara Files to augment the existing data distribution service team for a large analytic repository.
Creating processors within Niagara Files and establishing new data flows/troubleshooting existing data flows to the various hardware instances associated with the customer's various analytic hosting platforms.
Create rapid prototypes and design and implement complex, cutting-edge systems with a focus on collecting, parsing, managing, analyzing, and visualizing large sets of data to extract meaningful knowledge
Work with emerging technologies and data science techniques in support of endeavors to address critical needs of the Intelligence Community, Department of Defense, and other government agencies.
Minimum Requirements:
Must be a US Citizen possessing a current/active TS/SCI and be willing and able to obtain a CI Polygraph
Requires 3 years of relevant experience.
Bachelor's degree in Engineering, Computer Science or related field. 4 additional years of experience may be substituted in lieu of a degree
Experience with Niagra Files (NiFi)
Linux Experience
Willing to work onsite at Government customer sites in Northern Virginia
Desired Skills:
Strong object-oriented programming language (Java, Python) skills
Knowledge of big data toolsets Hadoop, Yarn, Spark, Accumulo, etc
Experience with SSL/PKI, to include ability to isolate and resolve SSL-related server and client issues
NoSQL databases (ElasticSearch, Accumulo)
SQL/database experience
Ability to work both independently and in a team environment
COMPTIA Security+ certification or CISSP certification or the ability to acquire and maintain certification
#cjpost | 3.7 | Maxar Technologies
3.7 | Springfield, VA | Westminster, CO | 5001 to 10000 employees | -1 | Company - Public | Aerospace & Defense | Aerospace & Defense | $2 to $5 billion (USD) | -1 | 0 | 0 | 74 | 137 | 105.5 | Maxar Technologies
| VA | 0 | -1 | 1 | 0 | 1 | 0 | 0 |
Data Engineer | $57K-$109K (Glassdoor est.) | ICW Group is looking for aData Engineer who will focus on Integration/MDM/Data Warehousing, defining and building the data pipelines, data quality check and cleansing solutions, including capturing throughput/error statistics. You will help to improve legacy processes and develop new solutions to enable faster and better data-informed decisions made within the business to prove system and process efficiencies and reduce overhead cost in terms of time and effort. Data pipelines will not only be performed to a high degree of stability, but solutions will also focus on the durability, mantainability and scalability of the processes for future needs for OLTP, OLAP. and MDM.
PURPOSE OF THE JOB
The purpose of this job is to define and build data pipelines to enhance company reporting and analytics capabilities. This position exists in order to enable data-informed decision-making within the business to improve system and process efficiencies and reduce overhead cost in terms of time and effort.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Collects data and maintains comprehensive documentation.
Optimizes performance, implements schema changes, and maintains data standards.
Ensures proper data governance and quality across data repositories and schema.
Documents the design and architecture of new and existing data models.
Develops documentation and reports that provide intuitive analytics to customers.
Maintains a comprehensive catalog of all the data streams, data mapping, and data dictionaries.
Manages data integrations and implementations.
Designs and develops scalable ETL packages and data streams, and integrates data from internal and external data sources.
Identifies best data sources among multiple sources to use for data pipelines to improve trust in data.
Monitors production databases for potential migration issues.
Gathers and implements database requirements, analyzes performance, and troubleshoots existing issues.
Implements various data streams through collaboration with product management, business intelligence, and advanced analytics.
Works to minimize data disruption through analytics and troubleshooting.
Troubleshoots incidents with data sources to minimize disruption to data architecture and data access.
Conducts training for users and colleagues related to assigned projects.
Completes advanced analytics projects.
Analyzes complex data elements and systems, data flow, and dependencies.
Contributes to conceptual physical and logical models.
SUPERVISORY RESPONSIBILITIES
This role does not have supervisory responsibilities.
EDUCATION AND EXPERIENCE
Bachelor's degree from four-year college or university; Computer Science, Applied Mathematics, Engineering, Technology, or related degree preferred. Minimum 3 years of experience in a data engineering related role. Experience with internet technologies such as SaaS, PaaS, IaaS, Tableau, Power BI, or similar visual analytics platforms. Experience with SalesForce and Data Virtualization preferred.
CERTIFICATES, LICENSES, REGISTRATIONS
None required.
KNOWLEDGE AND SKILLS
Advanced skills in SQL, ETL, building and integrating with API, analytics products like Alteryx, conceptual knowledge of database modelling, large and complex data sets, system management, SQL server reporting services or similar reporting platforms, analysis services and integration services.
PHYSICAL REQUIREMENTS
Office environment– no specific or unusual physical or environmental demands and employees are regularly required to sit, walk, stand, talk, and hear.
COMPETENCIES
This position maps to the Individual Contributor level. Additional competencies required: None.
WORK ENVIRONMENT
This position operates in an office environment and requires the frequent use of a computer, telephone, copier, and other standard office equipment. | 2.8 | ICW Group
2.8 | San Diego, CA | San Diego, CA | 501 to 1000 employees | 1,972 | Company - Private | Insurance Carriers | Insurance | $500 million to $1 billion (USD) | Liberty Mutual Insurance, EMPLOYERS, Travelers | 0 | 0 | 57 | 109 | 83 | ICW Group
| CA | 1 | 48 | 0 | 0 | 0 | 0 | 0 |