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Analytics Manager - Data Mart
$42K-$86K (Glassdoor est.)
We have an opportunity to join the Alliance as the Analytics Manager - Data Mart leading in the Analytics Services Department. WHAT YOU'LL BE RESPONSIBLE FOR Reporting to the Analytics Director, you will manage and lead the analytical data management function, including the gathering and assessment of business information needs for enterprise analytics and preparation of system requirements in order to create a single source of truth. Manage and lead the business information solution based Key Performance Indicator (KPI) dashboard reporting, customization, training and related integration with the Enterprise Data Warehouse (EDW). You will also manage, supervise, mentor and train assigned staff. ABOUT THE TEAM Our Analytics teams are skilled, focused, and highly collaborative. We work hard, have fun and take pride in how our work impacts the health outcomes for the communities we serve. THE IDEAL CANDIDATE WILL HAVE Passion and drive to roll up their sleeves and be a hands on manager Expertise and passion in the design, maintenance and evaluation of comprehensive analytical data marts Strength in developing data management plans, data dictionaries Experience and excitement for developing new teams and processes Strong communication skills and the ability to partner with cross-functional teams Ability to lead and inspire others, while promoting an environment that supports professional growth, embraces complex challenges and celebrates accomplishments WHAT YOU'LL NEED TO BE SUCCESSFUL To read the full position description, and list of requirements click here. Knowledge of: Data warehouse and analytical data mart concepts SQL Tools and techniques of data analysis and information reporting Thorough knowledge of information repository issues and concepts Joint Application Design (JAD) facilitation or other requirements-gathering techniques Relational database concepts and the creation of queries and reports using SQL and Tableau Data elements and their relationship to data quality requirements Ability to: Develop work plans and workflows and organize and prioritize analytical data mart activities Interpret and apply complex principles, policies, terms and procedures Define issues, interpret data, identify solutions, and make recommendations for action Independently document, summarize and resolve complex issues and projects Train, mentor, supervise, and evaluate the work of staff Education and Experience: Bachelor's degree in Computer Science, Information Science or a related field and seven years of experience performing data analysis and manipulation which included some experience leading or supervising staff; or an equivalent combination of education and experience may be qualifying OUR BENEFITS Medical, Dental and Vision Plans Ample Paid Time Off 11 Paid Holidays per year 401(a) Retirement Plan 457 Deferred Compensation Plan Robust Health and Wellness Program EV Charging Stations And many more ABOUT US We are a group of over 500 dedicated employees, committed to our mission of providing accessible, quality health care that is guided by local innovation. We feel that our work is bigger than ourselves. We leave work each day knowing that we made a difference in the community around us. Join us at Central California Alliance for Health (the Alliance), where you will be part of a culture that is respectful, diverse, professional and fun, and where you are empowered to do your best work. As a regional non-profit health plan, we serve over 330,000 members in Santa Cruz, Monterey and Merced counties. To learn more about us, click here or check out this video. At this time the Alliance does not provide any type of sponsorship. Applicants must be currently authorized to work in the United States on a full-time, ongoing basis without current or future needs for sponsorship.
3.5
Central California Alliance for Health 3.5
Scotts Valley, CA
Scotts Valley, CA
501 to 1000 employees
1,996
Nonprofit Organization
Health Care Services & Hospitals
Health Care
$500 million to $1 billion (USD)
-1
0
0
42
86
64
Central California Alliance for Health
CA
1
24
0
0
0
0
0
Sr. Data Engineer - Contract-to-Hire (Java)
$69K-$127K (Glassdoor est.)
As we strive to make a better day for our guests and team members, we look to enhance our enterprise applications dev team / master data efforts by adding someone with experience in Java. You will: 1. Develop solutions to support the initiative of moving our technology stack to the cloud 2. Maintain and develop solutions on SQL Server / PostgreSQL database leveraging tables, stored procedures, views, database roles, etc 3. Utilize a scripting language for automation of manual processes and manipulation/massage of data 4. Design solutions, document findings (gaps and risks), and communicate information and results to business partners in a concise and repeatable manner 5. Maintain up-to-date knowledge of industry standards for ETL tools and MDM technical solutions 6. Develop and maintain APIs using both MuleSoft and native EBX APIs Requirements: Java experience required. Experience with the Software Development Lifecycle (SDLC) required. Source control experience required. GITHUB, Subversion, or equivalent preferred Experience using query languages within relational database management systems (RDBMS). PostgreSQL and SQL Server are preferred. Python or shell scripting experience is a plus. .NET development experience is a plus. Release Management / Configuration Management / CICD experience a plus Experience with Maven, Jenkins, and SonarQube a plus Experience with large volumes of data using an established Enterprise Data Warehouse a plus Data extract, transform and load experience with an enterprise solution such as Informatica, SSIS, or Talend, is a plus. Experience using REST/SOAP APIs and MuleSoft experience a plus. Ability to troubleshoot and resolve issues independently is a plus. Attention to detail and strong problem solving skills desired. Ability to work as a member of a team to achieve stated goals. Job Type: Contract Experience: Java: 3 years (Required) SDLC: 2 years (Preferred) PostgreSQL and SQL: 2 years (Required) Location: Knoxville, TN (Required) Work authorization: United States (Required) Work Location: One location Benefits: Health insurance Schedule:: Monday to Friday
3
Pilot Flying J Travel Centers LLC 3.0
Knoxville, TN
Knoxville, TN
10000+ employees
1,958
Company - Private
Gas Stations
Retail
$10+ billion (USD)
TravelCenters of America, Love's Travel Stops & Country Stores, Wawa
0
0
69
127
98
Pilot Flying J Travel Centers LLC
TN
1
62
1
0
0
0
0
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
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
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
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
Data Scientist - Quantitative
$86K-$139K (Glassdoor est.)
Truckstop.com is hiring a Data Scientist for our Chicago, Illinois location About Truckstop.com Truckstop.com is one of the largest online freight matching services in the trucking industry, providing a one-stop connection between carriers and brokers. Founded in 1995 as the first freight-matching marketplace to hit the Web, Truckstop.com has grown to provide load planning, transportation management, route optimization, real-time rates, powerful negotiation tools, and other logistics solutions. Clickhere to learn more about Truckstop.com’s history. Truckstop.com is backed by ICONIQ Capital, a privately-held financial advisory and technology growth equity investment firm. ICONIQ is a trusted advisor fostering meaningful strategic relationships across industries to source powerful ideas, magnify global impact and support a new generation of entrepreneurs and companies. About our Culture Truckstop is a destination where talented individuals can build an epic career. It is a place where talent feels connected, fulfilled and equipped to do what they do best while having fun doing it. We call our employees Partners because we are deeply interdependent upon each other to achieve remarkable things together. We believe that for talent to be their best selves, we must enable them with the freedom to exercise their own judgment, and provide them with the autonomy to experiment, to innovate, and test where they can go, so they can do something they never thought they could. Each of our Partners is unique. Be you is the message we foster. We look for Partners who are aware of, and who are confident in their talents and who are passionate about serving others. We will achieve massive success when you can be yourself. E pluribus unum -Out of many, one We look for Partners who enjoy working in a One Team mindset environment. By combining our unique personalities, experiences, skills and knowledge we can accomplish amazing feats together! Truckstop.com does not utilize third party vendors for recruiting, nor accept unsolicited resumes from recruiters, staffing agencies or employment firms. Position Summary: We are looking for an experienced Data Scientist who is focused on the quantitative side of the business. Someone who is innovative, highly-analytical and technical, and has excellent communication skills with professional presence to collaborate cross-functionally and contribute expertise through actionable business intelligence to assist in complex organizational decisions. Responsibilities and Duties: Select features, build and optimize classifiers using innovative machine learning techniques. Process, cleanse and verify integrity of data used for analysis. Perform ad-hoc analysis and present results clearly and concisely. Create automated anomaly detection systems and constant performance tracking. Engage with business partners to develop deep understanding of supply chain industry. Collaborate with data scientists and software engineers on data design and reporting strategy across business functions to ensure cohesive alignment. Direct appropriate architecture, modeling, harmonization, and governance of data. Ensure strict data hygiene to ensure data is clean, accurate, concise, comprehensive, and complete Strong leadership skills with a passion for developing others. Review work across your team, provide feedback for professional development. Able to concisely explain complex analysis and insights to stakeholders. Demonstrated success in effective problem-solving and creative thinking. Independently influence cross-functional business groups. Able to juggle multiple priorities and deliver results in a fast-paced, dynamic environment. Experience leveraging research and analytics to support data-driven recommendations. Qualifications and Skills: Master’s Degree or PhD in Data Science/Analytics/Statistics/Operations Research/Computer Science/Economics/Computational Social Science/Related Quantitative Field. Bachelor’s Degree in Data Science/Analytics/Statistics/Operations Research/Computer Science/Economics/Computational Social Science/ Related Quantitative Field. Technical expertise in machine learning, architecture, scaling, and modeling. Experience in applied statistics and machine learning. Experience working with large data sets- structured/unstructured. Strong data visualization skills. Proficiency in Python, R and interacting with SQL Server and MongoDB databases. Experience in supply chain, transportation, or logistics industry nice to have. Familiarity with GIS and geographical data analysis. Understanding of GitHub and software version control a plus. Experience with AWS architecture a plus. Experience in Agile environments with rapid iterations. Integrating model outputs with data visualization tools such as D3.js and Leaflet.js Knowledge of multiple programing languages. Experience with supervised and unsupervised machine learning algorithms, and ensemble methods, such as: K-Means, PCA, Regression, Neural Networks, Decision Trees, Gradient Boosting. Experience working in a Linux environment nice to have. Physical Demands: Minimum physical exertion. While performing the duties of this position, the employee is frequently required to sit, communicate, reach and manipulate objects, tools or controls. The position requires mobility. Duties involve moving materials weighing up to 5 pounds on a regular basis. Manual dexterity and coordination are required over 75% of the work period while operating equipment such as computer keyboard, mouse, 10-key calculator and copier/fax. Work Environment: Ideal protected indoor office work environment and clean, non-hazardous work area. The noise level in the work environment is typical of most office environments with telephones, personal interruptions, and background noises. The above description covers the most significant duties performed but does not include other related occasional work that may be assigned or is completed by the employee. Truckstop.com provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
3.8
Truckstop.com 3.8
Chicago, IL
New Plymouth, ID
501 to 1000 employees
1,995
Company - Private
Logistics & Supply Chain
Transportation & Logistics
Unknown / Non-Applicable
-1
0
0
86
139
112.5
Truckstop.com
IL
0
25
1
0
0
1
1
Data Scientist
$66K-$112K (Glassdoor est.)
Description:Are you ready to take your career to a new level and work at an extraordinary company in Herndon, VA? The coolest jobs on this planet or any other are with Lockheed Martin Space. Lockheed Martin is a pioneer, partner, innovator and builder. Our amazing men and women are on a mission to make a difference in the world and every single day we use our unique skills and experiences to create, design and build solutions to some of the worlds hardest engineering problems. Do you want to be part of a culture that inspires employees to think big, perform with excellence and build incredible products? We provide the resources, inspiration and focus - if you have the passion and courage to dream big, then we want to build a better tomorrow with you. Do you have a passion for working on emerging technologies? Cyber is an essential element of Spaces strategy for growth as these skill-sets have become essential to meeting customer and internal needs. In support of new programs, our Cyber Exploitation teams are building capabilities and specialized tools and techniques. We are increasing focus and emphasis on our customers hardest problems, including challenges unique to the of cyber security tools and integrated effects. We are looking for a Data Scientist who will support our product with insights gained from analyzing customer data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Basic Qualifications: Five (5+) Expert years of related experience. Knowledge of individual, organizational, technological, or transnational issues of national security concern. Prior experience with the Intelligence Community and methodological experience in some of the following areas: relationships and discovery (correlating, enriching and prioritizing data about activity of actors, devices or facilities to enable the discovery of structure, roles, key relationships and targets), situational awareness (unifying data into a single context, allowing the current situation to be accurately and quickly understood), systems modeling (building a computational analog of a real-world system - political, military, economic, social or technical -- to understand how it operates, what it is capable of, and how it may react to shocks) and business analytics (supporting data-driven decisions about how we can improve the business of intelligence). Knowledge of appropriate analytic methods and methodological tools in two or more of the following areas: o Applied mathematics (e.g. probability and statistics, multivariable calculus, linear algebra, ordinary and partial differential equations, stochastic processes, graph theory). o Computer programming (e.g. scripting, data parsing/ETL, artificial intelligence, machine learning, math/statistics packages, natural language processing, software versioning, distributed. o Visualization (e.g. dashboard creation, network analysis, GIS/geospatial analysis, telemetry analysis). Desired Skills: Thorough/Working knowledge of Python and some of the following software/tools: SQL, R, Hadoop, Spark, Java, C/C++, Git Bash, Tableau, ArcGIS, Unix commands. Thorough/Working knowledge of research designs. Thorough/Working knowledge of collection methods, capabilities and tasking process. Familiarity with project management concepts and principles. Intellectual curiosity; creativity and innovation to go beyond current tools to deliver the best solution to complex problems. Strong analytical and critical thinking skills. BASIC QUALIFICATIONS: job.Qualifications Lockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, or disability status. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. Theyre dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company, Lockheed Martins vast team works with partners around the world to bring proven performance to our customers toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories. EXPERIENCE LEVEL: Experienced Professional
3.7
Lockheed Martin 3.7
Herndon, VA
Bethesda, MD
10000+ employees
1,995
Company - Public
Aerospace & Defense
Aerospace & Defense
$10+ billion (USD)
Boeing, Northrop Grumman, Raytheon
0
0
66
112
89
Lockheed Martin
VA
0
25
1
0
1
0
1
Senior Research Statistician- Data Scientist
$76K-$125K (Glassdoor est.)
Acuity is seeking a Senior Research Statistician- Data Scientist to use statistical knowledge and research skills to solve business problems. The Research Statistician will develop, implement, and interpret statistical models with a strong emphasis on data mining and statistical/predictive modeling. Provides work direction. ESSENTIAL FUNCTIONS: Identifies and acquires additional data sources, both internal and external, that can be used to enhance analyses. Lead the development of analytical models to drive superior business outcomes. Develop in-depth understanding of drivers for optimization by utilizing statistics and data mining techniques. Using latest PC tools, develop, enhance and monitor reports and models for other business areas. Evaluate and use Data Mining Tools. Support, train, encourage, consult other areas in the company and provide actionable information to management. Continually monitor database information and future needs. Explore and acquire data from outside sources. Use database tools to support other departments Regular and predictable attendance. Perform other duties as assigned. EDUCATION: Masters/PhD in Statistics, Mathematics, Economics, Operations Research or Computer Science EXPERIENCE: 5 years P&C insurance, modelling and project leader experience. Programming skills including SAS and R. OTHER QUALIFICATIONS: Strong interpersonal, quantitative, problem-solving, computer and conceptual skills. Aptitude in predictive modeling, multivariate analysis, statistical modeling, data mining techniques and mathematical statistics. Ability to apply strong programming and data management skills. Knowledge of and experience with at least one major computer programming language or advanced syntax in a major statistical package. This job is classified as exempt.
4.8
Acuity Insurance 4.8
Sheboygan, WI
Sheboygan, WI
1001 to 5000 employees
1,925
Company - Private
Insurance Carriers
Insurance
$1 to $2 billion (USD)
-1
0
0
76
125
100.5
Acuity Insurance
WI
1
95
0
0
0
0
0
Business Data Analyst, SQL
$44K-$86K (Glassdoor est.)
Fareportal is looking for a Business Data Analyst who is a strong SQL/TABLEAU EXPERT with TRAVEL Data Experience for our NYC office. 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. Job Summary: We are seeking aBusiness Data Analyst to help provide analysis on Search and Content on product portfolio, customer behavior, and competitive positioning to build a long-term strategy for the team.This person will bepart ofthe Search and Content team, giving them unique access tomake impactful decisions onFareportal'srevenue.The right candidate should be high-performing, self-motivated, willing to learn and excited about data and travel. Responsibilities: Create and manage data analytical reports for Search & Content product portfolio Collaborate with the Search & Content product owners Collaborate with product owners, product analysts, development owners, and Stakeholders early in the feature definition to identify data collection to monitor KPIs and feature performance. Prepare visuals and present performance of product portfolio to leadership team Provide daily, weekly, monthly & quarterly metrics to Search & Content Leaders & product & development owners Identify opportunities to increase product performance and work with product owners for requirements to development team Manage the data and submit requirements to development team for data normalization and capture of additional data to provide insights. Requirements: MBA or BA in Analytics or Mathematics 2+ Years in Travel data specifically flights domain 3+ Years in Data Analytics Work Experience in SQL, Tableau, or Business Intelligence tools Data modeling, validation, and statistical analysis Strong critical thinking and problem solving Proficient with visualization and dashboard tools such as Power BI or Tableau Advanced Excel Skills and present data to the leadership team Excellent analytical abilities; fluency with Microsoft Word, Excel and PowerPoint, demonstrated attention to detail Ability to work with a cross functional teams and work in a fast pace and dynamic environment Strong written and verbal communication skills Self-starter
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
Medical Technologist / Clinical Laboratory Scientist
$15-$25 Per Hour(Glassdoor est.)
The incumbent performs a broad range of laboratory procedures including all testing and tasks of the Medical Technologist (MT) /Clinical Laboratory Scientist (CLS). Incumbent is assigned to rotate through different sections of the laboratory for optimal patient care. Sections include (but are not limited to) Chemistry, Hematology, Blood Bank, Microbiology, Molecular Microbiology, and Specimen Receiving and Processing. IMPORTANT: A transcript must be submitted with your application if you are basing all or part of your qualifications on education. Note: Only education or degrees recognized by the U.S. Department of Education from accredited colleges, universities, schools, or institutions may be used to qualify for Federal employment. You can verify your education here: http://ope.ed.gov/accreditation/. If you are using foreign education to meet qualification requirements, you must send a Certificate of Foreign Equivalency with your transcript in order to receive credit for that education. For further information, visit: http://www.ed.gov/about/offices/list/ous/international/usnei/us/edlite-visitus-forrecog.html.Independently Performs advanced and complex laboratory procedures in the clinical laboratory. Recognizes deviation from expected results; analyzes and corrects problems using scientific principles. Work is performed indepedantly as a generalist in a variety of laboratory disciplines including Blood Bank / Transfusion Medicine, Chemistry (including Urinalysis and Toxicology), Hematology and Coagulation, Microbiology / Molecular Microbiology, and Specimen Receiving, Accessioning, and Processing. Maintains and documents the optimal functioning of laboratory equipment. Uses, calibrates, identifies malfunctions, repairs and performs preventive maintenance of laboratory equipment in the laboratory. Recognizes deviations in test performance due to instrument malfunction in this laboratory and initiates corrective actions as deemed appropriate. Informs the supervisors of malfunctions and status of corrective actions implemented. Follows standard operating procedures in all applicable areas to assure accuracy of laboratory results. Verifies and reports results in a timely manner and communicates critical results. Evaluates and solves problems related to collection and processing of biological specimens for analysis considering physiologic processes and requirements for all departments in the laboratory on the alternate tour shift. Performs and documents quality control and quality assurance activities and corrective actions related to test performance. Answers inquiries regarding test results, methodology, test specificity, test sensitivity and specific factors that influence test results. Interprets results and suggests follow-up test selection or procedures. Calls critical results to providers per policy. Work Schedule: Tour of Duty includes the evening shift and the overnight shift, including weekends and holidays. Financial Disclosure Report: Not requiredBasic Requirements: United States Citizenship: Non-citizens may only be appointed when it is not possible to recruit qualified citizens in accordance with VA Policy. English Language Proficiency: Medical technologists must be proficient in spoken and written English. Education and/or Experience Combination: In order to meet the minimum qualifications for this position, you must possess:1) A bachelor's degree or higher from an accredited college or university in medical laboratory science, medical technology, clinical laboratory science or in a related science (e.g. laboratory sciences such as chemistry, biochemistry, biology, microbiology, immunology, etc.) AND completion of a medical technology clinical practice program. Clinical practice programs completed after 1974 must have been accredited by the National Accrediting Agency for Clinical Laboratory Sciences (NAACLS), Commission on Accreditation of Allied Health Education Programs (CAAHEP), formerly CAHEA), or the Accrediting Bureau of Health Education Schools (ABHES). The professional curriculum may have consisted of a post-baccalaureate certificate program or be integrated into a four-year program of study that culminated in a baccalaureate degree. OR 2)A bachelor's degree from an accredited college/university, including 16 semester hours of biological science (with one course in microbiology), 16 semester hours of chemistry (with one course in organic or biochemistry) and one course in mathematics, AND two years of post-certification clinical laboratory experience (e.g. blood banking, chemistry, hematology, microbiology, immunology, clinical microscopy, etc.) within the last ten years as a certified Medical Laboratory Technician by the American Society for Clinical Pathology Board of Certification (ASCP-BOC), American Society of Clinical Pathology Board of registry (ASCP-BOR) or American Medical Technologists (AMT). This experience must include performing moderate and/or high complexity testing in blood banking, chemistry, hematology, microbiology immunology and clinical microscopy (or categorical experience which matches categorical certification) in a clinical laboratory OR 3) A bachelor's degree from an accredited college/university, including 16 semester hours of biological science (with one course in microbiology), 16 semester hours of chemistry (with one course in organic or biochemistry), and one course in mathematics ,AND five years of clinical laboratory experience within the last ten years performing moderate and/or high complexity testing in blood banking, chemistry, hematology, microbiology, immunology and clinical microscopy (or categorical experience which matches categorical certification) in a clinical laboratory. Certification: All candidates must currently possess the appropriate certification as an MT, MLS, or CLS given by the ASCP-BOC, ASCP-BOR, and AMT Exception. Non-certified applicants who otherwise meet the eligibility requirements for certification may be given a temporary appointment up to the full performance level not to exceed one year as a graduate medical technologist under the authority of 38 U.S.C. § 7405(c)(2)(B). This appointment may not be extended. For grade levels above the full performance level, the candidate must be certified in accordance with paragraph 2d(1) above. Failure to Obtain Certification. In all cases, MTs must actively pursue meeting prerequisites for certification from the date of their appointment. At the time of appointment, the supervisor will provide the MT with the written requirement to obtain certification, the date by which the certification must be acquired, and the consequences for not becoming certified by the deadline. Failure to become certified within one year from date of appointment will result in removal from the GS-0644 MT series. Failure to obtain certification during that period is justification for termination of the temporary appointment. Grade Determinations: GS-9 (Full Performance Level)(a) Experience. Must have 1 year of creditable experience equivalent to the next lower grade level, which is directly related to the position to be filled. OR (b) Education. Must have Master's degree or 2 academic years of progressively higher-level graduate education in medical technology or directly related field.(c) Demonstrated Knowledge, Skills and Abilities. In addition to the experience or education above, the candidate must demonstrate the following KSAs:1. Comprehensive knowledge of professional MT principles, practices, concepts and theories providing for sound independent work.2. Comprehensive knowledge of laboratory quality control and assurance procedures and principles of performance improvement in order to manage reagent and supply inventories and document control systems.3. Knowledge of laboratory equipment and ability to maintain, troubleshoot and repair instrumentation.4. Ability to plan, organize, set priorities, work as a team member and effectively complete assignments.5. Ability to use independent technical judgment to analyze and interpret laboratory results.6. Ability to read, interpret and apply complex written instructions.7. Skilled in informatics, laboratory data flow and the understanding of laboratory processes.8. Ability to communicate, consult and interact with other members of the healthcare team, external relations, customer service and patient education. References: VA HANDBOOK 5005/72, Part II Appendix G24; Medical Technologist Qualification Standard; GS-644The full performance level of this vacancy is GS-09. The actual grade at which an applicant may be selected for this vacancy is GS-09.The full performance level of this vacancy is GS-9. Physical Requirements: The work requires regular and recurring physical exertion such as long periods of standing, bending over microscope, reaching for supplies or material, and lifting moderately heavy items such as centrifuges and record boxes (or occasionally lifting heavier items such as reagent packs). The work may require specific physical characteristics and abilities such as dexterity (to perform intricate collection or analysis procedures) and color vision. Preferred Experience: Two years of experience as a generalist preferred. Certification as MT / CLS required, ASCP certification is preferred.
3.4
Veterans Affairs, Veterans Health Administration 3.4
New Orleans, LA
Washington, DC
10000+ employees
1,930
Government
Federal Agencies
Government
Unknown / Non-Applicable
-1
1
0
15
25
20
Veterans Affairs, Veterans Health Administration
LA
0
90
0
0
0
0
0
Data Scientist
$53K-$92K (Glassdoor est.)
We are looking for an enthusiastic Data Scientist to add to Credera's Data & Analytics practice. Our ideal candidate is excited about being on project-based teams in a client facing role to analyze large data sets to derive insights through machine learning (ML) and artificial intelligence (AI) techniques. They have strong experience in data preparation and analysis using a variety of tools and programming techniques, building and implementing models, and creating and running simulations. The candidate has a track record of working with data engineers and data architects to implement models into production environments. The right candidate will have a passion for discovering solutions hidden in large data sets to improve business outcomes. They are passionate about problem solving with the use of data and feel comfortable applying their expertise across many use cases in various industries. QUALIFICATIONS: Candidate with 2+ years of hands-on statistical modeling and/or analytical experience Master's degree in statistics, mathematics, computer science or related field (a PhD is preferred) Experience with a variety of ML and AI techniques (e.g. multivariate/logistic regression models, cluster analysis, predictive modeling, neural networks, deep learning, pricing models, decision trees, ensemble methods, etc.) Advanced skillset building models and performing analysis using scripting languages (Python, R, Scala, Octave) Advanced knowledge of relational and non-relational databases (SQL, NoSQL) Proficient in large-scale distributed systems (Hadoop, Spark, etc.) Experience with designing and presenting compelling insights using visualization tools (RShiny, R, Python, Tableau, Power BI, D3.js, etc.) Experience with wrangling, exploring, transforming, and analyzing datasets of varying size and complexity Knowledgeable of tools and processes to monitor model performance and data quality, including model tuning experience Comfortable presenting findings and recommendations to key client stakeholders Experience with implementing machine learning models in production environments through one or more cloud platforms: Google Cloud Platform Azure cloud services AWS cloud services WHO WE ARE: Credera is a full-service management consulting, user experience, and technology solutions firm, with clients ranging from Fortune 500 companies to emerging industry leaders. Credera has received a number of national awards, including: 7-time awardee on Inc. Magazine's annual Inc. 5000 list 6-time winner of 100 Best Companies to Work for in Texas by Texas Monthly Magazine Best Workplaces in Consulting & Professional Services by Great Place to Work and Fortune Fortune100 Best Workplaces for Millennials The Data & Analytics practice helps our clients gain competitive advantage by transforming raw data into insights that enable actionable decision making. Our business-driven approach to envisioning and implementing innovative solutions helps organizations tackle their market, increase customer engagement and grow revenue profitably via advanced technology. the Data & Analytics practice serves our clients across a broad spectrum of areas, specializing in Data Strategy, Modern Data Architecture, Data Visualization, Business Insights, Data Analytics and Artificial Intelligence. HOW WE WORK: Our foundational competitive advantage is simply doing what we say we will do with excellence. To deliver on that advantage, the Data & Analytics practice employs deep expertise in Organizational Data Strategy, Modern Data Architecture and Data Visualization, Advanced Analytics, Artificial Intelligence and Program Management to help our clients innovate, modernize and grow in their data-driven capabilities. Most teams are a mix of strategy, design and technology consultants working closely with clients to solve business critical challenges. Check out Credera's Glassdoor reviewsto read what our employees have to say! Travel: Up to 25% LEARN MORE: We do not currently commence "sponsor" immigration cases in order to employ candidates. Credera is a management consulting, user experience, and technology solutions firm with offices in Dallas, Denver, Houston, Chicago, and New York. We work with clients ranging from Fortune 500 companies to emerging industry leaders, and provide expert, objective advice to help solve complex business and technology challenges. Our deep capabilities in strategy, organization, process, analytics, technology and user experience help our clients improve their performance. Clients depend on our ability to anticipate, recognize, and address their specific needs. Credera's consultants work with some of the world's best known brands in a variety of industries, including one of the top five fast food chains, leading energy organizations, retailers, airlines. More information is available at www.credera.com. We are part of the OPMG Group of Companies, a division of Omnicom Group Inc. Along with a great company culture, Credera provides an outstanding compensation package including a competitive salary and a comprehensive benefit plan (e.g., medical, dental, disability, matching 401k, PTO, etc.). This position is an exempt position. U.S. Equal Opportunity Employment Information (Completion is voluntary) Individuals seeking employment at Credera are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Completion of the last four questions in our application is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.
4.3
Credera 4.3
Dallas, TX
Dallas, TX
201 to 500 employees
1,999
Subsidiary or Business Segment
Consulting
Business Services
Unknown / Non-Applicable
-1
0
0
53
92
72.5
Credera
TX
1
21
1
0
1
1
1
Senior Data Analyst
$44K-$78K (Glassdoor est.)
KnowBe4, Inc. is a high growth information security company. We are the world's largest provider of new-school security awareness training and simulated phishing. KnowBe4 was created to help organizations manage the ongoing problem of social engineering. Tens of thousands of organizations worldwide use KnowBe4's platform to mobilize their end users as a last line of defense and enable them to make better security decisions. We are ranked #1 best place to work in technology nationwide by Fortune Magazine and have placed #1 or #2 in The Tampa Bay Top Workplaces Survey for the last four years. We also just had our 27th record-setting quarter in a row! The Senior Data Analyst will work closely with the Vice President of FP&A and Director of Analytics to implement advanced analytical models and other data-driven solutions. Responsibilities: Review and analyze source data and ensure data accuracy and integrity Work with stakeholders to understand their available data, optimize associated data model and create business insights Work alongside the Data Scientists to ensure accuracy and integrity of data, as needed Extract, transform, and load data from source systems into data warehouse Work with data engineers and scientists to automate and refine data pipelines Maintain, automate, and increase efficiency of data sets Visualization of data in reports and dashboards to communicate results to the business Perform ad-hoc analysis, presentations and other projects as required Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality Support FP&A analytics mission to generate datasets or create new reports/dashboards and visualizations to communicate results to our stakeholders Create and analyze SaaS and Financial performance metrics to identify key drivers for expenses, revenues and business risks Create forecasting model to support FP&A processes Minimum Qualifications: Master's degree in Mathematics, Statistics, or other quantitative discipline required A minimum of 0-3 yrs in a similar data analyst role Experience with statistical computer languages (Python, R etc.) to manipulate and analyze large datasets Detail oriented with the ability to identify anomalies in data Able to work with and mine large amounts of data Experience with descriptive statistical analysis, predictive modeling experience preferred Experience visualizing data to communicate findings for a non-technical audience Experience with databases, query languages (SQL), and data modeling Ability to work in a fast-paced environment and adapt to change Strong analytical skills and ability to meet project deadlines Excellent time management and organization skills Advanced Excel skills, including vba is a plus Note: An applicant assessment, background check and drug test may be part of your hiring procedure. No recruitment agencies, please.
4.8
KnowBe4 4.8
Clearwater, FL
Clearwater, FL
501 to 1000 employees
2,010
Company - Private
Security Services
Business Services
$100 to $500 million (USD)
-1
0
0
44
78
61
KnowBe4
FL
1
10
1
0
0
0
1
BI & Platform Analytics Manager
$85K-$134K (Glassdoor est.)
A collective energy and ambition. A place where you can make a real difference. We’re a company that genuinely cares about our people, our products, our consumers and the environment. Our unique, informal culture champions courage, determination and collaboration. Knowing we have an open and supportive team means each of us has the freedom to take responsibility and ownership. We have a shared passion to work hard, innovate and push boundaries. United by the belief that when we strive for growth, anything is possible. While we might not be the largest company in our industry, we believe we can have the biggest impact because: Together We Have the Power to Win. Role Summary Responsible for managing the reporting needs and business requirements for our TPM and Analytical Systems (trade promotions management system) to include all future enhancements, updates, changes as well as new system implementations. Direct interface with all functions as well as contracted consultants to ensure integration and implementation of: Process Optimization TPO (Trade Promotion Optimization) Sales Optimization Development of standardized reporting & visualization of data Artificial Intelligence / Machine Learning applications Training & Change Management Role Accountabilities and Responsibilities Business Intelligence and Platform Analytics Strategy & Vision Works with Sales Organization and leadership to develop robust reporting tools utilizing systems and technology to advance the Sales Organization’s ability to measure the performance of its business. Work closely with cross functional teams to provide cohesive revenue management reporting. Leverage technology to create and automate advanced reporting and visualizations to aid in speed to insights. Oversight of Future of System and Reporting Initiatives Ability to use disparate data sources along with our data lake to develop cutting edge intelligent reporting solutions. Have a deep understanding of current systems to act as the system SME for capabilities and required enhancements to support the business. Ability to translate business needs into technical requirements for IT and vice versa. Education and Experience Education & Experience BA/BS degree from an accredited college/university. 5+ years of experience as a Sales Analyst, Business Analyst, BI Analyst, Trade Marketing Analyst or a related function. Proficiency in Excel, PowerPoint, Power BI / Tableau, Syndicated Data, Trade Promotion Management. Mastery of Excel and experience in programming language such as R & Python a plus. Position requires individual to have a thorough understanding of business financials and experience presenting to executive level personnel. Prior experience in CPG is highly preferred. Church & Dwight is proud to be an Equal Opportunity Employer/Veterans/Individuals with Disabilities. For more information on our company, our brands and our culture visit us at http://www.churchdwight.com/
3.4
Church & Dwight 3.4
Ewing, NJ
Ewing, NJ
1001 to 5000 employees
1,846
Company - Public
Consumer Products Manufacturing
Manufacturing
$2 to $5 billion (USD)
-1
0
0
85
134
109.5
Church & Dwight
NJ
1
174
1
0
0
0
1
Data Engineer
$59K-$110K (Glassdoor est.)
Data is the life blood of Cogo Labs and impacts nearly all decision making within the company. Cogo Lab's data team serves the important responsibility of maintaining, planning, and scaling these vital systems. As a curator of these systems you will ingest and process billions of events each day and have a direct impact on Cogo's bottom line. As a Data Engineer at Cogo Labs you will: Build and maintain robust, fault-tolerant ETL pipelines for Cogo's internal and external data resources Work alongside analysts and other engineers in cross-functionally staffed projects that support Cogo's long term vision of supporting 30 companies concurrently Work with external partners to integrate new data feeds Maintain, plan, and scale Cogo's MySQL and PostgreSQL relational database infrastructure Participate in weekly on-call rotations and respond to occasional off-hours outages Work with incubating companies and teams to plan their data pipeline, optimize their data processes and SQL, and act as a sounding board for all data questions Skills and requirements: At least three years of work experience in software engineering Familiarity with five of the following: Spark, MySQL, PostgreSQL, EMR, S3, Redshift, Airflow, Presto, Hive, Kafka, RabbitMQ, Map Reduce Proficiency with Python and one of the following languages: Java, Scala, Golang Comfort and experience with the Linux command line and Git Knowledge of relational database best-practices like replication, high availability, and performance tuning Strong problem-solving/analytical aptitude Ability to self-manage tasks and context-switch as necessary The willingness and ability to learn Nice to haves: Experience or familiarity with LVM, md, ext4, or ZFS Exposure to Docker and/or containers Cogo Labs is an equal opportunity employer and individuals seeking employment with us are considered without regards to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law.
3.9
Cogo Labs 3.9
Cambridge, MA
Cambridge, MA
51 to 200 employees
2,005
Company - Private
Internet
Information Technology
Unknown / Non-Applicable
-1
0
0
59
110
84.5
Cogo Labs
MA
1
15
1
0
1
0
0
Data Scientist
$64K-$111K (Glassdoor est.)
What’s significantly better than working on a typical data science team? How about working on a data science team in which you’re directly making an impact in the revolutionary field of artificial intelligence even as an entry level team member? (well, statistically significant that is). Pardon the pun, but at Spectrum we’re certain that our team is pumped up to work not only with like-minded data-savvy and fun loving professionals, but also to work with cutting edge new tools like our predictive, artificially intelligent proprietary software. So, if your confident that you want to make a direct impact in your next job today, then please keep on reading. Responsibilities Beyond working with state of the art technology you will have many different fantastic projects to work on as a Data Scientist at Spectrum. Here are just a few different responsibilities you can expect off the bat: Work with IT teams, management and/or data scientists to determine organizational goals Mine data from primary and secondary sources Clean and prune data to discard irrelevant information Analyze and interpret results using standard statistical tools and techniques Pinpoint trends, correlations and patterns in complicated data sets Identify new opportunities for process improvement Provide concise data reports and clear data visualizations for management Some Characteristics That Define You We understand that as a Data Scientist for Spectrum, you have many different professional goals and personal interests. As such here are just a few different things that typically define our team members on the Data Science team: Analytical. In order to solve problems and build innovative new digital marketing campaigns, it is essential that you know how to take an idea and analyze it from all of its angles. Patient. As a data scientist, you know that you work with extremely large data sets on a daily basis. As such we are looking for someone who is not only meticulous, but patient enough to sit and sift through that data in a thorough way. Creative. Beyond just analyzing data sets, you are an explorer and a puzzle solver. Pulling insights out of your data and understanding how those insights can better shape our tools is something that you live to do. Student. More so than most industries, the field of data science is always changing and evolving. As such, you are always looking to learn new things and gain new skills. Business-Savvy. Beyond the wicked data science skills you bring to the table, we also want you to consider the business implications of our data tools. From the ways our team will use them to how our customers will use them, we always want you to keep the user and the business application in mind. Required Skills and Experience On top of the many intangible skills you bring to the table, there are many skills that can help improve the efficiency and success of your work at Spectrum. Here are a few of those required skills and experience that you will come in with as a Data Scientist on our team: A bachelor’s degree/pursuing a bachelor's degree in computer science, mathematics, statistics, information systems, or a related field Experience with statistical modeling Fundamental knowledge of R and/or SAS languages Experience with SQL databases and database querying languages Experience with data mining and data cleaning Experience with data visualization and reporting techniques Written and verbal expression Benefits As a Data Scientist at Spectrum there are a ton of fantastic perks and benefits that come along with your work. Here are just a few of the benefits you can expect when joining the Spectrum family: Comprehensive medical & dental insurance Retirement planning & company matching Generous PTO, including sick days & holidays A state-of-the-art office environment Nintendo Switch in-office gaming such as FIFA, Arms, Mario Kart, and Rocket League Year-round gym memberships Paid continuing education Casual dress code Flexible scheduling Free-Lunch-Friday Company sponsored parties and group activities outside of the office
3.4
Spectrum Communications and Consulting 3.4
Chicago, IL
Chicago, IL
51 to 200 employees
1,992
Company - Private
Advertising & Marketing
Business Services
$10 to $25 million (USD)
-1
0
0
64
111
87.5
Spectrum Communications and Consulting
IL
1
28
0
0
0
0
0
Data Analyst
$65K-$120K (Glassdoor est.)
NCSOFT is focused on making high-quality, cutting-edge, and conceptually innovative Massively Multiplayer Games. NCSOFT is a great place to work, fostering creativity and collaboration. A casual, friendly work environment, comprehensive benefits package, a competitive salary, and more are all part of what makes NCSOFT a great place to work. If you love making great games and have the skills to make it happen, then NCSOFT is the place for you. NCSOFT is seeking a talented Data Analyst to work across multiple released and unreleased titles. This position is responsible for collecting data, generating reports, and analyzing player behavior. RESPONSIBILITIES: Analyze game systems, economies, and player behavior to drive game development and business practices that maximize player enjoyment and profitability Understand, analyze, and predict trends in player data. Collect and help to elaborate on data reporting requirements, primarily from game design, customer service, and business departments. Generate reports from accumulated data using SQL, Excel, R, Python and Tableau, as well as defining automated procedures related to data collection. Communicate findings, actionable recommendations, and data limitations to stakeholders to facilitate data-driven decisions. Formulate process improvement suggestions through ad hoc analyses and data mining. Take ownership of data integrity to ensure that the data are correctly supporting the analyses and recommendations being proposed. Develop new insights and analyses that inform decisions and help us continue to improve gameplay Analyze game-specific data and pro-actively make recommendations to Product Managers, Game Producers, Game Designers and UX Designers Devise and run game-specific A/B tests to directly and indirectly drive KPI improvements Work collaboratively with the Business Intelligence team to share best practices, problem solve and deliver large projects on time. REQUIREMENTS: Bachelor's degree in Computer Science, Statistics, Mathematics, Economics or related field, or equivalent experience with data analytics Experience using SQL to query for and to aggregate data Understanding of game design and in-game economies Strong communications skills and ability to work on a team Ability to change directions quickly based on business, project, and team needs Ability to effectively communicate complex findings and ideas simply Drive quality improvements of team's code through reviews and feedback Experience using descriptive and inferential statistics to analyze and present findings Experience using visualization techniques for presenting data and analysis Experience working with business teams to identify and define problems PLUSES: Previous mobile game analytics experience Experience with big data software like Hadoop Experience with other Business Intelligence backend and analytics applications This is a full time, on-site position at our studio in San Mateo, CA. A casual, friendly work environment, 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
San Mateo, 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
65
120
92.5
NCSOFT
CA
0
23
1
1
0
0
1
Associate Data Scientist/Computer Scientist
$60K-$103K (Glassdoor est.)
MITRE is a trusted operator of federally funded research and development centers and we're on a mission to make the world a safer place-for all of humanity, today and in the future. To deliver on our mission, we need the world’s best talent and leaders-groundbreakers and partnership-builders on a global scale in areas like healthcare, artificial intelligence, critical infrastructure resiliency, pandemic management, and cybersecurity. In return, we have the privilege of backing you with thousands of technical experts in diverse fields, a culture of innovation and knowledge sharing, access to data and resources uniquely available to MITRE through our wide-ranging partnerships across government, industry and academia. MITRE performs leading-edge research and development toward transformational solutions to our world’s most challenging problems. Our Center for Advanced Aviation Systems Development is a Federally-Funded Research and Development Center (FFRDC) established to serve as strategic partners to the federal government and various aviation groups around the world. Our engineers, analysts, technical and operational experts team to solve problems in the public interest that improve the safety and efficiency of the airspace system in the U.S. and abroad. The Airport & Airspace Analysis, Modeling, and Design department is seeking an early career / highly qualified [A1] Data Scientist/Computer Scientist that will apply data analytics, machine learning / deep learning, and natural language processing to work with the FAA and international customers identify and address aviation safety risks. The candidate will be responsible for: Leveraging Artificial Intelligence (AI)/Machine Learning (ML) techniques and solutions to identify and predict aviation safety risks Conducting quantitative data analysis using a variety of datasets, including developing retrieval, processing, analysis, and visualization of various datasets Collaborating with government organizations, academia, and industry to encourage innovation in aviation safety analysis Develop and prototype ML algorithms and software tools. Adapting current research and work in the AI/ML industry for application to the aviation safety problem space. Enhancing and maintaining current analysis tools, including automation of current processes using AI/ML algorithms. Basic Qualifications: Bachelor’s Degree in Data Science, Computer Science or related field 1-2 years work experience using data science techniques, including machine learning, deep learning, statistical modeling, text mining and data visualization Experience with programming languages such as Python, Java, or other languages for prototyping/testing algorithms Strong written and verbal communication skills Ability to work both independently and with a team Preferred Qualifications: Advanced degree in related field of study Practical experience with statistical analysis Experience with text mining tools and techniques including in areas of summarization, search, and entity extraction. Understanding of Big Data tools (e.g. Hadoop, Spark) Ability to foster relationship with sponsors
3.2
MITRE 3.2
McLean, 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
60
103
81.5
MITRE
VA
0
62
1
0
1
0
0
Business Intelligence Analyst / Developer
$53K-$105K (Glassdoor est.)
As a a Business Intelligence Analyst/Developer, you will create and manage a full stack Analytics environment that will ultimately transform data into knowledge. Understand and transform business needs into technical specifications Design, build, and deploy ETL solutions in: Pentaho Data Integration (PDI) Node JS REST Design, build, model, and deploy scalable data analytics/reporting platforms Looker Understand and manage a data warehousing platform Microsoft SQL Server Conduct unit testing and troubleshooting Evaluate and improve existing solutions ETL Looker Microsoft SQL Server Collaborate with developers in IT to drive/capture data requirements Develop and execute database queries and conduct analysis IBM Db2 for i Microsoft SQL Server MySQL Develop and update technical documentation Research and potentially implement ML/AI models Proven experience as a BI Developer/Analyst Industry experience is preferred Background in data warehouse/database design/data mining Dimensional modeling In-depth understanding of database management systems and ETL Familiarity with BI tooling/reporting platforms High level knowledge of SQL Proven abilities to take initiative, innovate, and deploy creative solutions Sound analytic mind with problem-solving aptitude BSc/BA in MIS, Computer Science, Engineering or relevant field Stable and growing organization Competitive weekly pay Professional, positive and people-centered work environment Fast-paced work environment Comprehensive benefits package: Health, Dental, Vision, AD&D, 401(k), etc. Paid holidays (8); paid vacation and personal days SQL, MIS, Computer Science, Computer Engineering, Innovate, Innovation, developer, technical, analyst, analytics, BI, Business Intelligence, Dimensional Modeling, IT, I.T., information technology, LTL, IT in Transportation industry, transportation and IT, REST, Looker, Node JS, PDI
4.3
Dayton Freight Lines, Inc. 4.3
Dayton, OH
Dayton, OH
1001 to 5000 employees
1,981
Company - Private
Trucking
Transportation & Logistics
Unknown / Non-Applicable
Old Dominion Freight, Pitt Ohio Express
0
0
53
105
79
Dayton Freight Lines, Inc.
OH
1
39
0
0
0
0
0
Lead Data Scientist
$124K-$204K (Glassdoor est.)
Job Description Since 1851, MassMutuals commitment has always been to help people protect their families, support their communities, and help one another. This is why we want to inspire people to Live Mutual. Were people helping people. A career with us means you will work alongside exceptional people and be empowered to reach your professional and personal goals. Our employees are the foundation of what makes MassMutual a strong, stable and ethical business. We seek and value unique and varied perspectives and experiences because we believe we are stronger when all voices are heard. We invite you to bring your bright, innovative ideas to MassMutual as we continue to help millions of Americans rely on each other. Description Position Summary: MassMutuals Advanced Analytics group is seeking an exceptional, highly motivated and self-directed data scientist. In this role, you will perform data-driven research, problem solving, and algorithm development through the systematic application of mathematics, statistics and computer science as well as cutting edge data technologies. Results of this work manifest themselves in a variety of ways, including interactive visualizations, presentations, publications, web applications, predictive algorithms, and APIs. This is an opportunity to join a small but growing high performing team with diverse backgrounds in applied math, computer science and physics that have been tasked with developing, maintaining and extracting knowledge from a strategic data asset. Our work revolves around studying fundamental and high impact business questions that directly impact the direction of the company and industry at large. Overall Responsibility: Set strategy and assume a leadership role in a domain of expertise Develop roadmaps for projects and services, data, and technology Oversee operations of algorithm and system deployments Partner with executive leadership to ensure alignment of data science initiatives and company strategy Lead projects and research initiatives Develop algorithms and predictive models, create prototype systems, visualizations, and web applications Design and analyze experiments Assemble data sets from disparate sources and analyze using appropriate quantitative methodologies, computational frameworks and systems Disseminate findings to non-technical audiences through a variety of media, including interactive visualizations, reports and presentations Mentor junior team members Candidate Requirements: Industry recognized expertise 7+ years working with data and relevant computational frameworks and systems 7+ years developing of probabilistic models and machine learning algorithms Proficient level of understanding in the following areas and an expert in at least one: machine learning, probability and statistics (esp. Bayesian methods), natural language processing, operations research Exceptional problem solving skills and willingness to learn new concepts, methods, and technologies Expert in data analysis using R or Python (numpy, scipy, matplotlib, scikit-learn, pandas, etc.) programming languages Knowledge of HTML/CSS/Javascript, d3.js and web application frameworks (Flask, Django, Play!, etc.) Knowledge of NoSQL systems, Hadoop/map-reduce, Spark, Hbase, etc. Experience in database design and SQL Ability to work in a highly collaborative environment Outstanding communication skills (publication history a plus) Education - M.S. or Ph.D. in a quantitative discipline (Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, etc.) is required CORE VALUES Focus on the Customer: We understand our customers well and look for every opportunity to deliver an experience that is clear, easy, personal, human, empowering and trustworthy. Act with Integrity: We deliver on our promises by being open, honest and humble and by adhering to the letter and spirit of applicable laws, rules, regulations and company policies. Value People: We respect and learn from each others diverse backgrounds, experiences and ideas. We engage and develop people to their greatest potential. Work Collaboratively: We work together to achieve results by actively listening, seeking, understanding and creating solutions as a unified team driving toward one company, one culture, and one brand. Achieve Results: We focus on winning by exceeding expectations and getting better everyone, every day.
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
124
204
164
MassMutual
MA
0
169
1
0
1
1
0
Sr. Data Scientist - Analytics, Personalized Healthcare (PHC)
$131K-$207K (Glassdoor est.)
The Position Purpose As a Senior Data Scientist within our Personalized HealthCare function you will work with meaningful data to generate impactful evidence and insights on our molecules/ medicines and patients, that support R&D, advance scientific and medical knowledge, and enable personalized patient care and access. You will collaborate with peers within the function and across the organization to develop evidence generation strategies, identify evidence gaps and data sources, design and execute studies, and implement analyses to address molecule and disease area questions. The data will be varied in type -- patient-level clinical data, supplemented with deep patient data such as omics (e.g. genomics, proteomic), imaging, digital health, etc. Source data will be diverse -- real-world data, including patient registries, electronic medical records, claims, biobanks, and clinical trials. The evidence and insights will be used to inform the research and development of our molecules, and support healthcare decisions by patients, physicians, health authorities, payers, and policy-makers. You will also contribute to functional, cross- functional, enterprise-wide or external initiatives that shape our business and healthcare environments. This will require a good understanding of molecule and disease area strategies, healthcare environments, as well as strong scientific and technical data science expertise. You will need strong strategic, collaboration and communication skills, as well as an entrepreneurial mindset, to transform the way we use data and analytics to develop and deliver medicines for our patients. As Senior Data Scientist you will typically be expected to contribute to the molecule/disease area for multiple or complex projects with minimal supervision. You will contribute to the development of new concepts, techniques, and standards. We will look to you as a positive role model for peers and you will coach colleagues to improve in their role with both technical and interpersonal skills. Responsibilities IDENTIFY EVIDENCE NEEDS & RECOMMEND DATA SOLUTIONS: Ask the right scientific questions, understand the evidence needs for research and development, regulatory and market access, and ideate and make recommendations on fit-for-purpose data and analytics solutions. DEVELOP DATA STRATEGY & GAIN ACCESS TO DATA: Develop strategic plans to access fit-for-purpose data sources to support evidence generation, and gain access to data through collaboration or data generation. DIVE INTO DATA: Develop a comprehensive and deep understanding of the data we work with and foster learning with colleagues using analytical tools and applications to broaden data accessibility and advance our proficiency/efficiency in understanding and using the data appropriately. BE AN EXPERT IN APPLYING METHODS: Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches. PRODUCE HIGH QUALITY ANALYSES: Apply rigor in study design and analytical methods; plan for data processing; design a fit-for-purpose analysis plan, assess effective ways of presenting and delivering the results to maximize impact and interpretability; implement and/or oversee the study, including its reporting; ensure compliance with applicable pharma industry regulations and standards. INTERPRET AND SHARE RESULTS: Communicate findings to internal stakeholders, regulatory, health technology assessment (HTA) bodies and scientific communities; publish results; participate in external meetings and forums to present your insights (e.g. congress/conference). COLLABORATE & SHAPE: Collaborate and contribute to functional, cross-functional, enterprise-wide or external data science communities, networks, collaboratives, initiatives or goals on knowledge-sharing, methodologies, innovations, technology, IT infrastructure, policy-shaping, processes, etc. to enable broader and more effective use of data and analytics to support business. Qualifications MSc, PhD or similar qualification in a quantitative data science discipline (e.g., statistics/ biostatistics, epidemiology, bioinformatics, health economics, computational biology, computer science, mathematics, outcomes research, public health, biology, medicine, psychology) with at least 2 years (if PhD) and 3+ years relevant work experience Demonstrated track record of developing and execution of data science research projects, patient-level data analyses (e.g., real world data, surveys, clinical trials, registries, claims, genomic or imaging data) with publications and presentations Demonstrated experience with managing project scope and driving delivery in an evolving environment requiring proactivity and effective problem-solving and prioritization when faced with challenges Demonstrated strong collaboration skills and excellent communication skills Demonstrated entrepreneurial mindset and self-direction, ability to teach others and willingness to learn new techniques Proficiency in English, both written and verbal Track record of effectively working in a matrix environment with global, international team members coming from scientific, business and operational backgrounds, using influence without authority Fluency in statistical programming languages (R, Python, etc.) Experience implementing advanced analytics approaches (machine learning, longitudinal data analysis, etc.) Experience with technologies required to undertake analyses on large data sources or with computationally intensive steps (SQL, parallelization, Hadoop, Spark, etc.) Experience producing interactive outputs (Shiny, etc.) Contributor to open source packages, libraries or functions Experience implementing reproducible research practices like version control (e.g., using Git) and literate programming Experience analyzing RWD (non- interventional studies, electronic medical records, claims, disease registries etc.) is essential. Additional data types, such as omics (next generation sequencing data, proteomics, etc.) also desired. #ds #LI-HB2 #PDP Who We Are A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work. The next step is yours. To apply today, click on the "Apply online" button. Genentech is an equal opportunity employer & prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status. For more information about equal employment opportunity, visit our Genentech Careers page. Job Facts JOB FUNCTION Modelling & Simulation COMPANY/DIVISION Pharmaceuticals SCHEDULE Full time JOB TYPE Regular
3.9
Genentech 3.9
South San Francisco, CA
South San Francisco, CA
10000+ employees
1,976
Subsidiary or Business Segment
Biotech & Pharmaceuticals
Biotech & Pharmaceuticals
$10+ billion (USD)
-1
0
0
131
207
169
Genentech
CA
1
44
1
0
1
0
1
Senior Data Scientist
$110K-$174K (Glassdoor est.)
Senior Data Scientist Mist, a Juniper Company, is the first vendor to bring enterprise-grade Wi-Fi, BLE and IoT together through a highly scalable cloud architecture. At Mist, we built the first AI-empowered platform to provide an unprecedented visibility into the user experience. Mist is the new global standard for many fortune 500 companies. The mission of the Data Science team at Mist is to leverage state-of-art ML and AI technologies to build the next-generation self-driving network solution, which can take actions on behalf of or together with human experts to automatically monitor, detect and remediate common network issues. The team includes a group of experienced and talented data scientists and data science engineers, and builds the end-to-end data analytics infrastructure and ML models of the product. Now we are looking for a Senior Data Scientist to help define and expand this mission. As a data scientist, you will collaborate with product managers and domain experts to identify use-impacting real customer problems, use your deep DS/ML knowledge to develop data-driven solution with terabytes data, and work closely with data engineers to implement and scale the models in production. Qualifications/Requirements: • MS or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background • Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc • 3+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation • Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning models • Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow • Good team worker with excellent communication skills written, verbal and presentation Desired Experience: • Experience with AWS, S3, Flink, Spark, Kafka, ElasticSearch • Knowledge and experience with NLP technology • Previous work in a start-up environment Juniper Networks is enrolled in E-Verify® and will be participating in E-Verify in addition to our Form I-9 process. www.dhs.gov/E-Verify Juniper Networks is an Equal Opportunity/Affirmative Action Employer.
3.8
Juniper Networks 3.8
Cupertino, CA
Sunnyvale, CA
5001 to 10000 employees
1,996
Company - Public
Telecommunications Services
Telecommunications
$2 to $5 billion (USD)
-1
0
0
110
174
142
Juniper Networks
CA
0
24
1
0
1
1
1
Data Analyst
$33K-$62K (Glassdoor est.)
Wednesday, March 11, 2020 Community Action Partnership of San Luis Obispo County,Inc. Helping People. Changing Lives. CAPSLO Mission, Vision and Core Values Position Summary: Assists in management, quality assurance, and dissemination of data. Provides support and training to colleagues in the areas of data collection and use of the client database. Supports CAPSLO’s mission by assisting in the development of sound data, enabling program management to understand outcomes, trends, and its client base. Essential Duties: Assists in coordinating the utilization of client database. 2. Ensures confidentiality and security of data. 3. Conducts system audits to ensure completeness and accuracy of data. Follow-ups with responsible program staff on missing or incorrect information to ensure integrity of data. 4. Trains staff individually or as a group on the client database. Provides training and technical assistance to service area staff in policies and procedures for utilizing the system. 5. Works with program staff and management to determine ways to make data collection and entry more efficient. Assists in the development, expansion, and maintenance of customized setups and configurations within database to ensure efficiency. 6. Completes data entry for additional programs that may need assistance. 7. Maintains a working knowledge of agency programs, organizational structure, and policies and procedures. 8. Provides Planning department with necessary statistics required by funding entities. 9. Runs routine and customized reports. 10. Performs other duties as needed. Other Requirements: 1. Must be detail-oriented, able to perform mathematical computations, and work accurately with numbers. 2. Must be able to work with a minimum of supervision. 3. Must maintain confidentiality at all times. 4. Must be able to maintain accurate records. 5. Must have good written and verbal communication skills. Must be able to prepare concise and accurate oral and written reports. 6. Must be able to work under pressure and meet deadlines. 7. Must have dependable, insured transportation, and a valid California Driver License (mileage to be reimbursed) and acceptable driving record. A DMV printout and proof of insurance will be required. 8. Must be available to travel throughout the year in and out of the state (up to 25%/year), for conferences, meetings, training workshops, etc. 9. Must be able to relate well to all people of the community regardless of color, national origin, religion, sex, pregnancy, age, marital status, veteran status, sexual orientation, gender identity, disability or socio-economic level. 10. Must use reasonable precautions in the performance of one’s duties and adhere to all applicable safety rules and practices; and act in such a manner as to assure at all times maximum safety to oneself, fellow employees, clients, and children. 11. Networks within and/or outside the agency to increase knowledge of resources and services that benefit clients; develop effective relationships; further agency and Community goals; and/or raise the profile of CAPSLO and its programs. 12. Employment is contingent upon approval of the Head Start Policy Council. 13. Employment is contingent upon meeting all job requirements and background requirements: criminal history check, education verification, acknowledgment of child abuse reporting responsibility, Megan’s Law clearance, criminal record Federal Statement, etc. A criminal history clearance is required within seven days of completing the Live Scan. Failure to provide required documents in the allotted time may result in an offer being rescinded. 14. Must be dedicated to the goals and philosophy of the division’s child development programs and CAPSLO. 15. Must provide an acceptable health screening, TB clearance (skin test or chest X-ray), and documentation of any required immunity or immunizations prior to beginning employment. Minimum Educational and Experience Requirements: Must have two years of related experience, or an equivalent combination of related education and experience. Must have strong computer skills, with knowledge of MS Office, Word, Excel, Publisher, data management software, and web-based applications. Must be able to type 45 words per minute Physical and Environmental Requirements: Position requires intermittent standing, sitting, walking, twisting and bending. Must be able to lift up to 30 pounds waist high. Simple grasping and hand manipulation required as well as reaching above and below shoulder level. Requires working indoors in temperature-controlled environment with some exposure to copier and printer chemicals/fumes. Employee Benefits: Medical, Dental, Vision, Life Insurance, Flexible Spending Plan, Retirement Savings Plan, and Employee Assistance Plan, plus additional benefits at a reduced rate. 12 Paid Holidays plus one paid Personal Holiday. Vacation and Sick time accruals. For questions regarding the application process or open positions, contact the Recruiting Department at 805-544-4355 or email recruitment@capslo.org. EOE/ V/ ADA/ Drug Free Workplace/ Asset Infused Organization We are an Equal Opportunity Employer and do not discriminate against applicants due to race, ethnicity, gender, religion, national origin, veteran status, or on the basis of disability. Other details Pay Type Hourly Min Hiring Rate $18.35 Max Hiring Rate $22.93
2.8
Community Action Partnership of San Luis Obispo 2.8
Parlier, CA
San Luis Obispo, CA
501 to 1000 employees
-1
Nonprofit Organization
Social Assistance
Non-Profit
$50 to $100 million (USD)
-1
0
0
33
62
47.5
Community Action Partnership of San Luis Obispo
CA
0
-1
0
0
0
0
1
Pricipal Scientist Molecular and cellular biologist
$52K-$101K (Glassdoor est.)
Job Description OBJECTIVE: Help us make safer drugs |The next generation of life changing medicines include gene therapies, oligonucleotides and cell therapies all honed to treat previously untreatable diseases. Help us shape this next generation of life-saving medicines by improving the design of next-generation therapeutics based on proactive detection & de-risking of dose limiting toxicities related to liver. Deliver decision-making data |Design & deliver of state-of-the-art in vitro assays to detect & de-risk toxicity for medicines in discovery & development. Help shape the evolution of cell & gene therapies to deliver safer & more effective medicines for patients with rare diseases. Lead toxicological investigations to detect & de-risk toxicities in drug discovery and development using in vitro and in vivo data. Use cutting edge cell culture and organ-on-a-chip technologies to help make the next generation of gene and cell therapies. Probe molecular and cellular mechanisms of toxicity to determine drivers of liver, lung and cardiovascular toxicities and guide drug projects to make safer medicines using your experience, in-house, and literature data. Drive the development of safer gene and cell therapiesusing in vitro and in vivo data from a matrixed project team. EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS: PhD in biology, pharmacology, toxicology or a related discipline with PostDoc experience. Experience with conventional and advanced cell culture approaches with cell lines, primary cells, and iPSC cells. Experience with 3D cell-culture highly desirable. Experience in assays related to liver safety biomarkers, transporters, and P450 enzymes is desired. Experience working in a matrixed team environment at a pharmaceutical company and/or CRO Broad scientific knowledge including pharmacology, toxicology, pathology, physiology and biochemistry. Expertise designing & delivering fit for purpose assays for understanding the mechanism of toxicity of agents including drugs, for biomarker development and application, and for de-risking drug candidates. Experience with organ systems in addition to liver such as cardiovascular, GI, and immune systems is highly desired Strong interpersonal and organizational skills Excellent oral and written communication skills LICENSES/CERTIFICATIONS: DABT certification a plus, but not necessary Locations Boston, MA Worker Type Employee Worker Sub-Type Regular Time Type Full time
3.7
Takeda Pharmaceuticals 3.7
Boston, MA
OSAKA, Japan
10000+ employees
1,781
Company - Public
Biotech & Pharmaceuticals
Biotech & Pharmaceuticals
$10+ billion (USD)
Novartis, Baxter, Pfizer
0
0
52
101
76.5
Takeda Pharmaceuticals
MA
0
239
0
0
0
0
1
Data Analyst
$48K-$90K (Glassdoor est.)
Why TrueAccord? Debt collection is failing consumers. Every year, 77 million Americans have negative experiences with the collections process, and they deserve a better approach - one that is more relevant, more digital, and less abrasive. That’s why banks, lenders, and industry leaders are coming to TrueAccord for innovative solutions recovering outstanding receivables. TrueAccord is a category-defining company. We combine machine learning with a human based approach to assist both clients and consumers through a challenging financial process. With a world-class leadership team, passionate and driven team members, and a diverse and growing client base, TrueAccord is well positioned for continued success. Come join our team and disrupt a multi-billion dollar industry that's been waiting for change. The Role: TrueAccord’s Analytics team is responsible for driving our business forward with data. The Data Analyst will join a team of highly motivated people who take the TrueAccord mission seriously and are determined to succeed. The core objective of this role is the development and delivery of analyses to cultivate TrueAccord’s strategies and maximize client performance. As a Data Analyst, you will take an active role in highly complex/sensitive projects, using data and behavioral analytics to intimately understand the debtor population and what levers will affect cohort performance. You will conduct deep explorations into our data to identify trends, produce insights, and build predictive capabilities. You will gather key insights around our product, operations, and performance, and will deliver these to stakeholders to enable informed decision making. This is an exciting, high-profile role that has significant impact on TrueAccord and is integral to the company's success. Responsibilities: Use applied and behavioral analytics to analyze performance trends and optimize strategy execution. Conduct root cause analyses to identify and understand key performance drivers. Produce accountability for business outcomes through KPI creation and monitoring. Develop forecast models to predict key production drivers and future performance, ensuring accuracy of longer-term strategy views. Create metrics to track and improve operational efficiency and productivity. Establish quantitative relationships between production levels and performance to enable opportunity sizing and scenario planning. Deliver ad-hoc analytical support or reporting using a variety of concepts, practices, and data sources. Routinely interact with key stakeholders to present performance information or findings from any assigned analyses. Manage large amounts of data to develop solutions. Ensure data integrity through the development and use of system controls. Requirements: A minimum of 2 years of experience using quantitative data analysis to solve problems and drive performance is required BS/MS degree in an analytical discipline: finance, statistics, physics, applied mathematics, computer science, information systems, engineering, etc. Ability to build complex models, perform deep analyses, and turn raw data into useful information A deep understanding of statistical analysis, modeling, experiment design, and common pitfalls of data analysis Fluency in SQL Ability to drill into root causes and answer not only “Why” but also “So What” Ability to present complex information and deliver insights to business partners clearly and concisely Attention to detail and accuracy, while maintaining a solid awareness of the big picture, are extremely important Strong interpersonal skills and ability to work effectively, both in a team environment and across operational groups Must be able to work effectively with little direct supervision and in the face of ambiguity, shifting priorities, and multiple deadlines Nice to Have: Experience in Financial Services industry--with bonus points coming from relevant experience in the debt collections space Experience with scenario planning (i.e., “What if” analyses), including the successful use of assumptions in place of key data points Ability to use data-driven insights to influence process improvements. Competency with data visualization or business intelligence tools such as Looker, Tableau, or Power BI. Familiarity with a statistical language such as R or Python. What TrueAccord offers you + Culture & Benefits TrueAccord is headquartered in San Francisco and has a newly opened a location of excellence in Lenexa, KS. We offer a healthy work environment that continuously builds an inclusive and diverse culture where everyone is able to develop the best version of themselves. We are a dynamic group of people who are subject matter experts with a passion for change. We offer: *** Generous paid time off *** Paid training *** We promote work/life harmony *** Paid holidays *** Health, dental and vision benefits *** 401K with matching Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueAccord and make a difference. Our Dedication to Diversity & Inclusion TrueAccord is an equal opportunity employer. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
3.4
TrueAccord 3.4
San Francisco, CA
San Francisco, CA
51 to 200 employees
2,013
Company - Private
Enterprise Software & Network Solutions
Information Technology
Unknown / Non-Applicable
-1
0
0
48
90
69
TrueAccord
CA
1
7
1
0
0
0
1
Data Analyst
$34K-$64K (Glassdoor est.)
Data Analyst Do you love data? Do you thrive on digging for info to answer complex questions and solve head-scratching problems? If you say yes, you might be part of the next generation of data scientists we’re looking for! This entry-level position will assist in prepping raw data for analysis, running and monitoring statistical models, and preparing findings for internal and external use. The role No two days at Suds Creative are the same, but in general you can expect to: •Use statistical methods to analyze data and generate useful business reports •Work with our management team to create a prioritized list of needs for each business segment •Identify and recommend new ways to gain revenue by streamlining analytic processes •Use data to create models that depict trends in the customer base and the consumer population as a whole •Work with departmental managers to outline the specific data needs for each business method analysis project You’re most likely to succeed in this role if you: •Have 1-3 year of experience in data management •Are a self-motivated, autonomous problem solver •Understand data work is 80% prep–the successful candidate must know that when developing new tools, brute force may be required to shape the data •Have a high degree of comfortability in Excel •Have functional knowledge of various statistical tools (Regression, ANOVA, ARIMA, Clustering, and PCA) •Bring to the table natural curiosity and the ability to adapt models to the available data Nice to haves: • Background in mathematics, finance, statistics or business • Proven track record of communicating complex findings in a digestible format • SQL database management expertise • Experience with R-Studio, Rattle, Alteryx, Tableau, SPSS, or Python • ODBC and API management experience Benefits& pay We will invest in your professional development and create an environment where you will be given an opportunity to grow and develop your career. We offer a competitive compensation and a wide range of benefits, including paid time off, health insurance with company HSA contribution, dental, vision, 401(k) with company match, life insurance, and disability insurance. Plus, your favorite beverage will be stocked in our refrigerator! Work environment At Suds Creative, we strive to foster a relaxed, friendly work environment that encourages creativity and collaboration. We are a quickly expanding company seeking someone who wants to grow alongside us as we take on new and exciting projects.
4
DRB Systems 4.0
Meridian, ID
Akron, OH
201 to 500 employees
1,984
Company - Private
Computer Hardware & Software
Information Technology
$50 to $100 million (USD)
-1
0
0
34
64
49
DRB Systems
ID
0
36
1
1
0
0
1
Staff Data Scientist
$132K-$211K (Glassdoor est.)
Western Digital The next big thing in data is you! JOB DESCRIPTION SUMMARY: Digital Analytics Office (DAO) is looking for software engineer to focus on building production ready machine learning analytical solutions. The role is expected to specialize in designing and architecting complex Machine Learning models in production environments. Ideal candidate should be a software engineering expert who would build complex software analytics applications that provide end-to-end architecture, design, development and maintenance of these large scale systems. ESSENTIAL DUTIES AND RESPONSIBILITIES: Design and architect End-to-End platform/system for customer analytical needs. Designing and testing complex Machine Learning models. Fast pace agile prototyping of solutions. Interact with business users to understand their analytics needs & requirements for designing the most optimal solution efficiently. REQUIRED SKILLS & CHARACTERISTICS: Master’s Degree or PhD in Computer Science or Software Engineering. Proficient in computer science fundamentals, algorithms & data structures. Proficient in programming languages like Java & Python. Knowledge of Microservices architecture, API development, REST services, service oriented architecture (SOA) & web application development. Experience with Database Technologies (SQL/NoSQL) & Big Data Technologies (Hadoop, Hive). Experience with Cloud Platforms like AWS and Azure. Familiar with working in an agile software development framework with test driven development approaches. Expertise in Machine Learning Techniques such as Logistic Regression, Naïve Bayes, neural networks, various classification and clustering algorithms, deep learning etc. Able to work with big data systems (Hive, Hadoop, HQL, Hbase, Presto) & cloud technologies (AWS Redshift, DynamoDB). Strong interest in problem solving, taking ambiguously defined problem and articulating clear problem statements. ABOUT WESTERN DIGITAL The future. It’s on you. You & Western Digital. We’ve been storing the world’s data for more than 50 years. Once, it was the most important thing we could do for data. Now we’re helping the world capture, preserve, access and transform data in a way only we can. The most game-changing companies, consumers, professionals, and governments come to us for the technologies and solutions they need to capture, preserve, access, and transform their data. But we can’t do it alone. Today’s exceptional data challenges require your exceptional skills. It’s You & Us. Together, we’re the next big thing in data. Western Digital® data-centric solutions are found under the G-Technology™, HGST, SanDisk®, Tegile™, Upthere™, and WD® brands. Western Digital is an equal opportunity employer. Western Digital does not discriminate on the basis of race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Equal Employment Opportunity is the Law" poster. Federal and state laws require employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you need any accommodation or assistance with our career site, please contact us at staffingsupport@wdc.com. Western Digital participates in the E-Verify program in the US. For more information click here. Este empleador participa in E-Verify. #LI-JS1
3.5
Western Digital 3.5
San Jose, CA
San Jose, CA
10000+ employees
1,970
Company - Public
Computer Hardware & Software
Information Technology
$10+ billion (USD)
Seagate Technology, Toshiba
0
0
132
211
171.5
Western Digital
CA
1
50
1
0
0
1
0
Data Scientist (Actuary, FSA or ASA)
$81K-$133K (Glassdoor est.)
At Legal & General America, we aim to make a positive difference in the lives of our customers, partners, colleagues, and the communities in which they live. As a recognized market leader of term life insurance, we’re working to transform our business through innovation and technology to provide products and solutions that help American families secure their financial futures. We are a future-focused company, passionate about what we do and how we do it. This means working with pace and energy to reach our goals, and challenging ourselves to achieve more. We strive to create a unique environment where balance between work and life is possible. Our employees' passion, dedication and hard work, as well as our career development opportunities, benefits, and employee activities contribute to our positive workplace culture. The Advanced Analytics team develops and maintains a collection of analytical solutions that span the Actuarial, Underwriting, Operations, Risk and Marketing spaces. Your primary responsibilities include the creation and maintenance of an exciting and important collection of advanced analytical solutions involving predictive modeling (statistical, machine learning), optimization and simulation. You will be especially involved in the analysis of lapse and mortality experience, and the modernization of the assumption setting process. Additional responsibilities will include developing cutting-edge underwriting triaging models, along with potential involvement in any of the other business areas mentioned above. You will be highly engaged through all stages of a project. You will meet with business leaders to flesh out project objectives at the start. You will drive the data acquisition phase where you will collaborate with Data Engineers to identify data sources and query structured databases. You will transform the data and engage in advanced feature engineering to develop the analytical solution and perform model validation. Ultimately, you will document and present your results to a spectrum of business leaders, helping to transform the organization through modern, data-driven decision making. Education BS/BA in Math/Statistics, Masters in Statistics preferred. Associate of the Society of Actuaries (ASA) (FSA preferred) Experience/Knowledge 5+ years of life insurance/actuarial experience. 2+ years predictive modeling. Experience study for mortality and lapse background strongly preferred. Good familiarity with life underwriting preferred. Skills Strong working knowledge of R preferred, Python OK. Spreadsheet and database capabilities (Excel, SQL). Visualization tool experience helpful (Tableau, Spotfire, QlikView) Excellent written and oral communication skills, including presentation skills. Strong documentation skills. Strong project management skills. Ability to multi-task in a deadline-oriented environment. Ability to work independently and collaboratively. Strong actuarial analytical skills and problem solving ability. Self-motivated.
3.8
Legal & General America 3.8
Frederick, MD
Frederick, MD
501 to 1000 employees
1,981
Company - Private
Insurance Carriers
Insurance
$500 million to $1 billion (USD)
-1
0
0
81
133
107
Legal & General America
MD
1
39
1
0
0
0
1
System and Data Analyst
$42K-$76K (Glassdoor est.)
Overview Corcentric is a leading provider of procurement and finance solutions that transform how companies purchase, pay, and get paid. Corcentric's procurement, accounts payable, and accounts receivable solutions empower companies to spend smarter, optimize cash flow, and drive profitability. Corcentric was named a 2018 ’50 Providers to Watch’ by Spend Matters and a leader in IDC MarketScape: Worldwide SaaS and Cloud-Enabled Accounts Payable Automations 2019. Since 1996, more than 6,000 customers from the middle market to the Fortune 1000 have used Corcentric to reduce costs and improve working capital. Learn more at corcentric.com. Position Summary: We are actively seeking a business analyst who can play a key role in the rollout of our new ERP system, Dynamics 365 Finance & Operations. We have experienced tremendous growth through acquisition in recent years and we are currently in the process of consolidating our operations onto one system. The business analyst will support this system implementation and also serve as a liaison between business users and technical users. Subsequent to the system integration analyst will manage user security, facilitate system testing as updates are released and serve as an internal system superuser helping to optimize manual business processes and provide support to system users. This is not a technical position but will require a willingness to learn the ins and outs of the system and our business processes. Responsibilities Maintain user Security. Maintain GL & Dimension requests Prepare mass updates to customer and vendor master data as required Assist end users with issues regarding: Invoicing, applying cash, accounts payable & bank reconciliations Work with end users to identify bottlenecks and issues within business processes and recommend efficient and scalable solutions. Setup system templates to support invoicing and other core business processes Test updates to the system on a bi-monthly basis Supports special projects as needed Qualifications Bachelor’s degree in Information systems, Accounting or a related field 1-3 years’ experience with D365 F&O or Microsoft Dynamics AX (preferably from Microsoft implementation firm) Self-motivated with a desire to learn new things and take on new responsibilities as the business progresses Bachelor’s degree in Accounting and/or IT Ability to meet communicated schedules and deadlines within the monthly close process Ability to multitask and work in a fast paced environment Ability to maintain/develop good working relationships with all stakeholders Ability to work overtime as needed Excellent communication and interpersonal skills with a customer service focus Outstanding excel skills required (including pivot tables, VLOOKUP’s, etc.)
3.7
Corcentric 3.7
Cherry Hill, NJ
Cherry Hill, NJ
201 to 500 employees
1,996
Company - Private
Enterprise Software & Network Solutions
Information Technology
Unknown / Non-Applicable
-1
0
0
42
76
59
Corcentric
NJ
1
24
0
0
0
0
1
Data Scientist
$66K-$111K (Glassdoor est.)
About U.Group U.Group is an advanced technology and creative design company radically focused on using customer-centric innovation to create new opportunities in the public and private sectors. Working collaboratively out of offices in Arlington, VA, Washington, DC, Portland, OR, and in the heart of the action at client sites—U.Group delivers best-in-class digital services, powerful data platforms, augmented reality solutions, integrated marketing strategies, bundled services, and more. To learn more, visit www.U.Group. Role Summary Data Science at U.Group is dedicated to designing and engineering advanced data processing and analytics tools to drive the next generation of decision-making. You will join a diverse interdisciplinary team designing and integrating augmented intelligence capabilities into products and services. Our goals and ambitions are bigger than any one individual. As such, you will join a collaborative team where our knowledge and strengths are complementary. We emphasize cooperative education, where we continually expand and refine our craft. Your talent in software development will be just as important as your understanding of databases, statistics, and machine learning. Your creativity and ingenuity will be needed to solve challenging problems. Ultimately, you will be part of a broad team geared towards delivering quality products and services to our clients, communicating and collaborating with engineers, economists, marketing strategists, and designers, to name a few. Citizenship Status: US Citizenship required and have resided in the U.S. for three of the past five years. Location: Washington, DC | Arlington, VA | Portland, OR | Indianapolis, IN Clearance: Current, or have the ability to obtain, public trust or higher security clearance Minimum Qualification Requirements This position is for one of our programs supporting the federal government. As part of the hiring process for programs like this, each candidate’s resume is evaluated against a strict set of requirements defined by the government client. For a candidate to be found “minimally qualified”, their resume must clearly illustrate all the requirements. For more information on preparing a federal resume, check out this GitHub Repo: https://github.com/rooneywp/govcon-hiring-guide/blob/master/resume_prep_guide.md The minimum qualification requirements for this position are: Shall have a minimum of five (5) years of experience in the Information Technology field focusing on AI/ML development projects, DevSecOps and technical architecture specifically. Shall have experience with architecture & design experience, including at least three (3) years of experience deploying production enterprise applications in AWS that use AI/ML. Shall have experience with large scale, high-performance enterprise big data application deployment and solution architecture on complex heterogeneous environments in AWS. Shall have, at a minimum, a Bachelor’s degree in Computer Science, Information Technology Management or Engineering. Objective 1: Plan, develop, and maintain data processing pipelines, algorithms, and machine learning models for products and services. Design, document, and communicate data processing pipelines to support efficient analysis, modeling, and data science operations. Implement, integrate, and test data processing pipelines. Deploy and monitor data processing pipelines in production environments, including deploying within cloud environments such as AWS. Leverage continuous integration and delivery systems to deploy high quality software to a production environment. Objective 2: Plan, develop, train, and maintain advanced analyses, artificial intelligence systems, and/or machine learning models for products and services Design, document, and communicate requirements for AI and machine learning models to be embedded within larger projects. Implement, integrate, and test AI and machine learning models. Train, deploy, and monitor AI and machine learning models in production environments, including deploying within cloud environments such as AWS. Track performance of AI and machine learning models as they operate within larger projects. Objective 3: Perform exploratory data analysis and communicate insights to customers and the product team. Collect, transform, and combine varied, messy, or unstructured data into consistent inputs, independently of any larger project or process. Compute statistics of, identify key features of, and extract key insights from cleaned, collected data. Produce demonstration visualizations, summarize key insights, and create reports from cleaned, collected data. Objective 4: Collaborate with cross-functional delivery teams that include data engineers, experience designers, engineers, project management, and customer stakeholders. Use and upgrade shared templates and tools to build and optimize our products into innovative industry leaders. Support efforts of fellow data scientists, engineers, visualizers, and architects. Collaborate directly with customers to problem solve and prototype potential solutions based on defined requirements. Communicate AI, machine learning, and data modeling concepts and entity relationships to peers and customer partners. Objective 5: Provide Subject Matter Expertise for team growth, business development activities, and solution strategy development. Assist stakeholders, including the Data, Product, Program, and Executive teams, with data-related technical issues and support their data science needs. Consistently report status of work to project and account management. Provide expert opinion and knowledge to project and account management, as well as business development efforts. Life at U.Group We encourage our colleagues to lead balanced lives. Our comprehensive benefits include medical, dental, vision, disability, wellness programs, flexible spending, 20 days paid time off, and paid holidays. We also offer: Flex Time and Remote Work Options Education reimbursement program Fitness Reimbursement Transit/parking subsidy program Parental Leave Policy Professional Development Program 401(k) with Company Match EQUAL EMPLOYMENT OPPORTUNITY – Our policy is to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, we will provide reasonable accommodations for qualified individuals with disabilities. U.Group shall abide by the requirements of 41 CFR §§ 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals on the basis of protected veteran status or disability, and require affirmative action by covered prime contractors and subcontractors to employ and advance in employment qualified protected veterans and individuals with disabilities.
3.5
U.Group 3.5
Indianapolis, IN
Arlington, VA
201 to 500 employees
2,019
Company - Private
IT Services
Information Technology
$25 to $50 million (USD)
-1
0
0
66
111
88.5
U.Group
IN
0
1
0
0
0
1
0
Data Engineer 5 - Contract (Remote)
$74K-$140K (Glassdoor est.)
Purposes This is a remote contract position that works with multiple departments throughout the organization to take their data and transform it into information that will allow them to make better decisions. The data engineer is responsible for gathering requirements, design, creation and support of the data warehouse. This individual works with divine guidance to provide or support technology that furthers the mission of the Church and reflects the eternal impact of the gospel. Responsibilities Proven ability to resolve complex problems under pressure Comprehensive knowledge of engineering best practices Strong operational understanding and discipline Ability to resolve security issues and requests and implement improvements Expert dimensional data modeling skills · Ability to quickly learn new tools and technology Advanced problem solving, analytical, and diagnostic skills Excellent documentation, presentation, and communication skills Highly skilled in developing ETL code, can manage the ingestion and cleansing of large sets of structured and unstructured data Strong knowledge of the algorithms used for regressions, clustering, classification, forecasting, and constructing graphs This job operates in a professional office environment To successfully perform the essential functions of the job there may be physical requirements which need to be met such as sitting for long periods of time and using computer monitors/equipment Qualifications Education: · Bachelor's degree in related field or equivalent professional experience. Master’s degree preferred. Work Experience: · 8+ years of data warehouse experience · 3+ years of industrial grade experience in data science, including machine learning and NLP · Experience evaluating industrial grade experience in data science, including machine learning and NLP · Proven track record of completing multiple data science projects end to end, from idea generation to implementation in production systems (warehouse, or applications) · Extensive professional experience in data analysis and report design/development · Professional experience in presentation/interface creation Demonstrated Skills & Abilities: · Exceptional communicator; both written and verbal · Outstanding troubleshooter 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
Riverton, UT
Salt Lake City, UT
10000+ employees
-1
Nonprofit Organization
Religious Organizations
Non-Profit
Unknown / Non-Applicable
-1
0
0
74
140
107
The Church of Jesus Christ of Latter-day Saints
UT
0
-1
0
0
0
0
1
Digital Health Data Scientist
$63K-$110K (Glassdoor est.)
ROLE SUMMARY The Digital Health Data Scientist supports Digital Medicine & Translational Imaging projects from inception to completion by leveraging her/his technical expertise. S/he guides the selection of devices, writes code to ingest data from these devices, implements the pipelines for bringing together data from multiple sources and develops novel digital biomarkers by using advanced signal processing and machine learning techniques. The Digital Health Data Scientist is a key member of the Digital Medicine team and partners closely with the scientific and clinical team members, applying technical, software development and analytics knowledge to support the research, development and deployment of digital biomarkers in clinical trials. ROLE RESPONSIBILITIES Use structured and unstructured data to develop digital biomarkers by implementing novel signal processing and machine learning workflows Engineer and extract features from raw data that capture clinically relevant aspects of disease symptoms Develop software tools and scripts at scale to support data analysis and interpretation pipelines Present and discuss findings with project teams, support iterative solutions development and scientific research Integrate and summarize large-scale data and information across multiple scientific, translational, and clinical domains Communicate effectively with team members, experts and regulatory authorities Function in the matrix of both project-centric and discipline-centric expectations QUALIFICATIONS Training & Education MS in Biomedical Engineering, Electrical Engineering, Computer Science, or a similar technical field with 1-3 years of experience; Skills Strong background in data science, signal processing and machine learning Skilled at implementing ideas in Python, R or MATLAB Excellent communication (written and verbal) and presentation skills Experience with analysis of data from wearable devices with motion (e.g. accelerometer, gyroscope) and physiological (e.g. ECG, EMG) sensors Knowledge of human biomechanics and/or physiology 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
Cambridge, MA
New York, NY
10000+ employees
1,849
Company - Public
Biotech & Pharmaceuticals
Biotech & Pharmaceuticals
$10+ billion (USD)
-1
0
0
63
110
86.5
Pfizer
MA
0
171
1
0
0
1
1
Data Scientist
$63K-$105K (Glassdoor est.)
Position Summary Our Data Science team is currently in need of a Data Scientist to join our growing organization. The ideal candidate will be intricately involved in running analytical studies in a methodical manner, and will regularly evaluate alternate models via theoretical approaches. This is the perfect opportunity for the successful candidate to become a part of an innovative and energetic team that develops analysis tools and processes which will influence both our products and our clients. This position will analyze, develop, and update data, programs, documents, and visualizations for large external clients, along with internal new and existing projects/products, and for support of various departments within SMC³. This position requires proficiency in creative thinking and logic application. We value creativity, communication and a positive attitude. Key Job Functions •Develop a complete understanding of our business problems and how we use data to solve them •Parse, standardize, and analyze large volumes of data •Work closely with Data and Application Development teams to create or update products in an on demand environment •Help to align products and processes to the strategy of the company and the problems of our clients •Focus on continuous improvement and understand the gaps in the data and capabilities of the products we deliver •Create visualizations for use in analyzing/developing data and to provide and present results to other areas of the company •Identify and understand the needs of data projects, and to research and apply creative solutions using new or existing processes/software •Create original documents that describe project specifications, logic flow and data analysis findings •Work with various file formats such as ASCII, flat and comma delimited to identify issues, develop data, and perform analysis Required Qualifications •Bachelor’s Degree in Statistics, Mathematics, Computer Science or a related quantitative discipline •Proven experience with data mining •Experience programming VB6/VBA (Microsoft Access, Excel) •Experience with Statistical Algorithms including Boosting, Clustering and Regression •Detail oriented- Proven ability to “get it right” the first time when updating data, developing program code, and writing documents Preferred Qualifications •Master’s Degree in Statistics, Mathematics, Computer Science or a related quantitative discipline •At least 2 years of experience in advanced analytics •Experience working with big data •Strong critical thinking and communication skills for explaining algorithms and processes to stakeholders •Familiarity with data fundamentals including SQL Bonus Skills •Knowledge of Python or Tableau Additional Competencies •Self-Directed •Problem Solving •Interpersonal Skills •Strong Written and Verbal Communication Skills •Accuracy/Attention to Detail •Adaptability •Dependability
4.3
SMC 3 4.3
Louisville, KY
Peachtree City, GA
51 to 200 employees
1,935
Nonprofit Organization
Logistics & Supply Chain
Transportation & Logistics
$10 to $25 million (USD)
-1
0
0
63
105
84
SMC 3
KY
0
85
1
0
0
0
1
Data & Analytics Consultant (NYC)
$91K-$138K (Glassdoor est.)
WHO WE LOOK FOR An SEI Consultant is a master communicator and active listener who understands how to navigate an audience. Self-aware, almost to a fault, SEI consultants keenly understand how to adjust their approach based on the situation. Following a logical, fact-based approach, our consultants possess the superior ability to see correlations others may not, ask the right questions and drive solutions. As super-connectors, our consultants connect not only people, but data, trends and experiences. Mature, humble, and genuine, SEI Consultants frequently go above and beyond for both their clients and their colleagues. SEI Consultants are ethical and trustworthy individuals who do what they say. SEI Consultants have an insatiable curiosity and love to learn. These individuals are commonly tech savvy and early adopters. Their passion for learning is infectious and excites others. As every project is different, an SEI Consultant must be adaptable and comfortable with unexpected situations. An SEI Consultant must be at ease with ambiguity because although a client knows that a problem exists – they need SEI to figure it out and drive a solution. SEI Consultants define ambition differently. SEI Consultants are authentic, low-maintenance individuals who like to hang out with colleagues outside of work. Whether it be cooking, traveling, hiking, or volunteering, SEI Consultants enjoy working with genuine, thoughtful folks who want to steer clear of the traditional grind and share the joy of day-to-day life and activities with colleagues, friends and family. WHAT WE DO Our consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We’re known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces. We are actively looking for professionals in the following areas: Data Strategy and Governance Database Architecture and Development Data Analysis Reporting and Data Visualization The ideal candidate will: Have experience understanding and solving real business problems Solid writing and speaking skills to support data storytelling Ideal candidates may call themselves Data Engineers, Data Scientists and Analysts and Data Governance professionals. Experience may include but is not limited to the following: Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods Specialization in architecting enterprise solutions with visualizations and data-discovery tools such as Tableau, QlikView, Spotfire, Amazon Web Services, Cloud, Salesforce Technical capabilities that include designing scalable data architectures, solution performance tuning, and hardware sizing Experience and knowledge of programming and scripting languages, such as , Python, Java, C#, PL/SQL, R and SAS Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions Experience managing, populating, and querying database technologies including RDBMS, NOSQL, and big data platforms and experience working with these technologies' ecosystems QUALIFICATIONS Required Demonstrated business and technology acumen Proven track record of delivering results Experience working with and/or leading a team Ability to work independently Ability to work across industries, roles, functions & technologies Positive can-do attitude A curiosity for new technology Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship) Preferred Bachelor’s degree (Mathematics, Computer Science, or related field preferred) 8+ years professional experience Consulting experience Experience across our service offerings
4.7
Systems Evolution Inc. 4.7
New York, NY
Cincinnati, OH
201 to 500 employees
1,992
Company - Private
Consulting
Business Services
$50 to $100 million (USD)
-1
0
0
91
138
114.5
Systems Evolution Inc.
NY
0
28
1
0
0
0
1
Senior Scientist - Neuroscience
$100K-$190K (Glassdoor est.)
Sunovion Pharmaceuticals is looking for a Senior Scientist in Neuroscience to join our Discovery Sciences Department in Marlborough, MA. As a member of the Discovery Sciences Department, this position will be responsible for designing and managing in vitro and in vivo studies to characterize the biological activity of novel small molecule drug candidates for the treatment of neuropsychiatric and neurological diseases. The position requires broad scientific expertise in the design of behavioral, molecular and imaging studies in rodents with the ability to interrogate the results to develop neurocircuit & pathway-based hypotheses of drug mechanism of action. Responsibilities include the management of experimental studies conducted through external research partners, as part of our strategy of a flexible business model for drug discovery. The successful candidate will have demonstrated a track record of accomplishments showing successful application of the technical skills required to probe the involvement of specific neurocircuits in experimental systems. Excellent resource management skills and the ability to initiate and maintain effective working relationships with CROs and academic collaborators are essential. This position will work closely with colleagues in medicinal chemistry, safety/toxicology and translational medicine and development and may also lead discovery projects/initiatives. Essential Functions: Applies technical expertise to design & conduct studies to support the development of novel small molecules for psychiatric and neurological conditions. Develops mechanistic and hypotheses and delivers research results to enhance understanding of mechanism of action & effects on neurocircuits. May lead discovery projects/initiatives. Manages external relationships with CROs, research partners and academic institutions to deliver high impact neurocircuit-based and pharmacology results. Manages research related documentation including study plans, data files and scientific reports supporting regulatory filings. Seeks and develops new external relationships to apply new technologies to CNS discovery programs (especially related to systems-neuroscience approaches). Works in project teams with medicinal chemists, pharmacologists, preclinical safety and translational medicine scientists to advance novel agents into development. Communicates research results to internal and external stakeholders including collaborators, key opinion leaders and partners at Dainippon Sumitomo. Minimum Education, Experience, Knowledge and Skills Required: PhD with at least 3 years post-doctoral research experience in neuroscience research. Expert in the technical application of in vivo rodent behavioral assays and interrogation of neurocircuits such as the following: optogenetics, electrophysiology (in vivo and/or slice preparations), calcium imaging, microdialysis, standard in vivo behavioral paradigms in rodents. Experience with neuroimaging tools and techniques used to develop mechanistic hypotheses of drug action, eg Light-sheet microscopy, confocal microscopy, PET-imaging, fMRI, and analyses of large data sets. Knowledgeable in other in vitro/in vivo techniques (e.g. receptor pharmacology) and basic molecular techniques (e.g. IHC, ISH, etc.), and able to utilize a wide range of in vitro/in vivo technique to develop successful research strategies to probe mechanism of action. Demonstrated record of accomplishments showing technical & research accomplishments and the ability to work collaboratively with external organizations. Ability to work on computers for extended periods, robust data analysis skills and proficiency with professional software and statistical and imaging tools are required (e.g. MATLAB, R, Python, Imaris, Neurolucida, etc.). Must have excellent oral and written communication skills and an innovative spirit with capacity for generating new ideas. Confidential Data: All information (written, verbal, electronic, etc.) that an employee encounters is considered confidential. Compliance :Achieve and maintain Compliance with all applicable regulatory, legal and operational rules and procedures, by ensuring that all plans and activities for and on behalf of Sunovion are carried out with the "best" industry practices and the highest ethical standards. Mental/Physical Requirements: Fast paced environment handling multiple demands. Must be able to exercise appropriate judgment as necessary. Requires a high level of initiative and independence. Excellent written and oral communication skills required. Requires ability to use a personal computer for extended periods of time. Confidential Data: All information (written, verbal, electronic, etc.) that an employee encounters is considered confidential. Compliance :Achieve and maintain Compliance with all applicable regulatory, legal and operational rules and procedures, by ensuring that all plans and activities for and on behalf of Sunovion are carried out with the \"best\" industry practices and the highest ethical standards. Mental/Physical Requirements: Fast paced environment handling multiple demands. Must be able to exercise appropriate judgment as necessary. Requires a high level of initiative and independence. Excellent written and oral communication skills required. Requires ability to use a personal computer for extended periods of time.
3.5
Sunovion 3.5
Marlborough, MA
Marlborough, MA
1001 to 5000 employees
2,010
Company - Private
Biotech & Pharmaceuticals
Biotech & Pharmaceuticals
$1 to $2 billion (USD)
Shire, GlaxoSmithKline, Allergan
0
0
100
190
145
Sunovion
MA
1
10
1
0
0
0
1
Data Engineer
$62K-$114K (Glassdoor est.)
THE CHALLENGE The data engineering team is building the next generation of data infrastructure. We work with cutting-edge big data technologies to power the most efficient, secure, and performant data ecosystem to power live experiences. Operating at the base of Eventbrite's infrastructure, we feed data to analysts, customers, engineers, and the platform alike. Our core foundation is modular and strong. We hope you can help us extend its use across the company as we explore and implement new technologies. THE TEAM The Data Foundry squad is charged with building and maintaining all streaming and batch data pipelines across the company. We also support and empower analysts, engineers and data scientists with the tools they need to create a data-driven product and power data-driven decision making. We are pragmatic and meritocratic. We work hard. We play hard. We are strongly connected to each other. Eventbrite engineers perform frequent demos of the code we ship. We also hone our skills through code reviews and tell the world about it on Eventbrite’s Engineering Blog. We value community, we believe in the power of live experiences, and we regularly host free events with top technical speakers. Learn more about the team from some of our engineers here. THE ROLE We are hiring someone 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 TECH STACK Our primary stack includes usual suspects in big data engineering: Spark, Hadoop, Presto, Spark SQL, Hive, Spark Streaming, Kafka, MySQL, Redis, AWS, Yarn, Ansible, Terraform, Python, Git, and more. THE SKILL SET 5 years of experience building high quality software in Python, Java, or Scala 3+ years of working experience in rapid product development building data infrastructure, ETL, or MapReduce jobs Expert knowledge of SQL and relational database design and modeling, approaches and techniques for extracting, transforming, loading and integrating dataUnderstanding of Data Engineering, Data Science, Machine Learning, Business Analytics, and the relevant technologies that support them Familiarity with a server-side framework, such as Django, Express, Rails, or .NetExcellent customer service skills 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 Strong analytical and problem solving skills and attention to detail BONUS POINTS Bachelor’s degree or higher in a technical field (CS/Math/Stats/Engineering) Passionate about live entertainment, and eager to help build Eventbrite into the world’s leading event technology platform 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? Sign up to keep in touch and we’ll let you know when we have new positions on our team. 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
62
114
88
Eventbrite
TN
0
14
1
0
1
1
1
Big Data Engineer - Chicago - Future Opportunity
$71K-$129K (Glassdoor est.)
ABOUT US Are you ready to transform an industry? At Centro we are building a comprehensive tech platform that radically increases efficiencies and impact across businesses, teams, and campaigns. Our clients can run all their digital business through Basis, with robust business intelligence, workflow automation, search and social integrations, and the number one rated DSP. We’re taking the digital advertising world by storm and are proud to be headquartered in the rapidly growing tech hub of Chicago, with offices that span across the United States, Canada, Mexico, and London. Join us in our mission to improve the lives of everyone working in the industry! WHY WORK WITH US? At Centro, we believe that lasting success is achieved through continual dedication to the growth and well-being of the individual. Our people are the core of what makes Centro unique. Driven by the Centro Manifesto and our guiding principles, we look to hire the best and brightest minds—curious, passionate learners who are driven to create impact. We are committed to building a culture of highly motivated individuals who create a positive and supportive environment together. When we work hard, stay focused, and act in service to others, we believe that anything is possible. Come grow with us! ABOUT THE TEAM Technology is at the core of what we do. Centro’s innovative Engineering team designs and develops new features and integrations for Basis, our industry-leading, comprehensive software solution. Our platform processes over 300 billion events per day and uses AI and machine learning to automate and simplify the entire digital campaign process. This team is all about data—and in order to create value from the massive amount of data we collect, engineering leverages their dynamic Data Engineering, Data Science, and Business Intelligence teams to create insights that benefit the industry as a whole. Our Tech Stack: • Ruby, Java, Python, and React.js • Kubernetes, Docker, Kafka • PostgreSQL, NoSQL • AWS ABOUT THE ROLE We are looking for engineers who are excited about building distributed data pipelines. We want you to help us shape our internal and external brand-new data warehouses, leveraging the latest advances of big data processing: a combination of Kafka Streams, Hadoop, and traditional RDBMS. YOU WILL Be a part of our Big Data team and of an overall Data Organization spanning multiple offices. Participate in architecture discussions and bring your experience in scalable data pipelines using Kafka Streams and/or other Big Data tools. Take ownership of design and implementation of scalable and fault tolerant projects. Maintain and incrementally improve existing solutions. Get to build brand new pipelines with the technology stack including Spark, Spark Structured Streaming, Kafka, Hadoop, MySql, Python. WHAT WE ARE LOOKING FOR Solid understanding of distributed system fundamentals. Experience in developing, troubleshooting, diagnosing, and performance tuning of distributed data pipelines at scale. Demonstrated professional experience working with various components of Big Data ecosystem: Spark/Spark Streaming, Hive, Kafka/KSQL, Hadoop (or similar NoSQL ecosystem), et. al, in a production system. Strong software engineering skills with Python. Knowledge of some flavor of SQL (MySQL, Oracle, Hive, Impala), including the fundamentals of data modeling and performance. EVEN BETTER IF YOU HAVE Skills in real-time streaming applications. Knowledge of Scala. A development workflow using Docker containers. Compulsion for automating your day-to-day processes. WHAT WE OFFER Ability to see your direct impact on a high visibility project. An opportunity to both create new projects and help improve the existing big data pipelines. Work in a mature, private, nationally-known company with a CEO approval of 90% on Glassdoor and a positive atmosphere in our San Francisco tech team. 401K plan with employer matching. Commuter pre-tax contributions. Flexible working hours and work-from-home days. Health plan. In-office snacks. Organized team events. LIFE WITH CENTRO We take care of our people. Our team has put together a thoughtful benefits package and provides a wide range of perks, including competitive 401k matching, a tax-free health savings account, tuition reimbursement, generous maternity/paternity leave, and more. Aside from benefits, we’re always finding new ways to invest in the personal and professional growth our employees. We’re proud to support a variety of employee-led communities that enrich our culture of uniqueness, inclusivity, and empowerment. Centro is more than a workplace. Centro is an Equal Opportunity Employer. We respect and support an inclusive workplace diverse in thought, perspective and culture. We celebrate all team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age. We are better together.
4.1
Centro 4.1
Chicago, IL
Chicago, IL
501 to 1000 employees
2,001
Company - Private
Internet
Information Technology
$100 to $500 million (USD)
Mediaocean, The Trade Desk, MediaMath
0
0
71
129
100
Centro
IL
1
19
1
0
1
1
0
Senior Data Analyst
$43K-$80K (Glassdoor est.)
About the Role: The Senior Specialist, Data Analysis (a.k.a. Data Analyst) plays a critical role in the Chief Data Office (CDO). This role works with Clearinghouse data providers, like institutions and industry credential providers, to analyze, understand, and identify trends related to data submissions and longitudinal data integrity. Working closely with the Chief Data Officer, Research Center, Education Solutions, Customer Care, Data Excellence& Operations, and SaaS teams, this role analyzes, understands, and provides business requirements related to data integrity, data quality issues, and data visualizations. The primary focus of this role is to support the CDO and the Clearinghouse in data analysis and analytics activities needed across the enterprise. This role also serves as a mentor to junior team members in the CDO. The ideal candidate is driven, detailed oriented, passionate about data and technology, and has excellent communication skills. How You Contribute: Perform data analysis on file submissions coming from institutions and other Clearinghouse data providers to ensure data quality and data integrity. Understand how different data sources are combined to calculate aggregate data fields. Analyze how data intake specifications impact data quality and data reporting. Work with business areas of the Clearinghouse to identify and define business requirements for updating data intake specifications, data quality frameworks, or reporting to improve data integrity. Interact with and be a data analyst user of a Master Data Management tool for the resolution of data exceptions, data quality issues, or longitudinal data integrity issues. Define, track, and report on metrics related to data quality across the enterprise. Participate and provide input to the Data Governance Council on data quality and data integrity issues. Provide recommendations on business process improvements or software application enhancements to increase overall data quality. Provide feedback and guidance to external customers of the Clearinghouse on data intake specification and data quality issues that may impact their reporting and data visualizations. Mine data from primary and secondary sources, then reorganizing data in a format that can be easily read by either human or machine. Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts. Understand the business and be able to interact with senior and executive leaders by providing data analysis and data visualization reports or dashboards that can support data-driven business decisions. Support reporting and analytics functions for both internal and external stakeholders, including guiding others in the enterprise to achieve reporting and analytics self-sufficiency. Utilize Excel, SQL, and BI tools and dashboards to perform data analysis work. Provide user acceptance testing support for data initiatives. Perform multiple tasks simultaneously and successful perform under changing requirements and deadlines. Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork. Demonstrate NSC’s competencies, which align with our corporate value Core Competencies include: Customer Focus, Optimizes Work Processes, Collaborates, Communicates Effectively, and Be Open and Authentic Manager will provide more detail to candidates as needed. Position may be required to perform other duties as required. These essential functions are representative of those that must be met by an employee to successfully perform the job. Reasonable accommodations will be made to enable individuals with disabilities to perform these essential functions. What You Bring to the Table: A passion for a career in data and technology. A Bachelor’s degree in Data Science, Math, Finance, Statistics, Information Management, Computer Science, Engineering, Economics or an equivalent field. A combination of education and experience including through military service, will also be considered. 5-8 years of experience in technical settings requiring knowledge of data structures and database querying techniques. 5+ years working in a data analyst or analytics role. Experience with Alation, or other data catalogue tools, and with data visualization tools (Tableau, OBI EE, Cognos, MicroStrategy, or Microsoft Power BI). Demonstrated ability to: Work in a fast-paced environment, on a team, and achieve results in a team environment. Adapt to changing priorities and procedures and remain poised under pressure. Identify problems and provide resolutions, and detailed oriented. Highly customer centric, service oriented with the ability to understand, execute, and meet customer's expectations. Excellent communication, and presentation skills with the demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Proficiency in with Microsoft Office Suite. Fluency in SQL. Live within a commutable distance of Herndon, VA. Additional Desired Requirements: Programming knowledge in Python or R. Knowledge of Master Data Management (MDM) tools. Physical Demands: Use of a computer for 8 or more hours a day. Use of a copy machine and telephone. Frequently required to sit for 7 or more hours per day in close proximity to others in an open office environment. Occasionally required to use hands and fingers to operate, handle, and reach. Vision abilities include close vision and the ability to adjust focus. Must be flexible to work after business hours and on weekends, when necessary. Travel via car, train, and/or airplane, when needed.
2.9
National Student Clearinghouse 2.9
Herndon, VA
Herndon, VA
201 to 500 employees
1,993
Nonprofit Organization
Colleges & Universities
Education
$25 to $50 million (USD)
Ellucian, Parchment, College Board
0
0
43
80
61.5
National Student Clearinghouse
VA
1
27
1
0
0
0
1
Data Scientist
$74K-$119K (Glassdoor est.)
Job Description Job Title: Data Scientist Location: Portland, OR About This Role: Comscore is a media measurement company providing multiscreen reporting and analytics with cutting-edge technology to serve clients in the entertainment, media, retail, and advertising industries. Comscore's TV Analytics team helps design the intelligent engines that power the company's advanced media measurement products. Through our research, Comscore builds projections that make the massive amount of raw data we take in from screens meaningful and useful for our clients. What You'll Do: The Data Scientist is part of the Television Analytics team that provides internal services for building and maintaining the methodologies comprising Comscores projection system for national television, local television, and cross platform measurement services. In this role, the Data Scientist will work closely with other members of the Television Analytics team and the Technology organization to work with large amounts of tune-level linear television data to build algorithms, tools, and custom projection in a fast-paced business environment. Develop and test new methodologies, features and concepts, and integrate into production process. Exercise your experience in the development lifecycle through analysis, design, development, testing and deployment of this system Author analytical summaries and methodology evaluations Provide ongoing analysis to support projections in existing products. Responsible for the timely and error-free delivery of data used in products. Select appropriate methods and techniques in performing experiments Utilizes software including SQL, Python/R, and UNIX/Linux to generate, analyze, and deliver data driven insights. Serves as subject matter expert on Comscore's TV methodologies What You'll Need: Degree in a quantitatively focused discipline (i.e., Statistics or Economics, Data/Computer Science or Engineering, Systems Engineering, Computation Finance, Operations Research, Mathematics or Physics, etc.) 2-4 years of experience in the synthesis of research findings and making data-driven arguments Expertise at querying and manipulating data in preparation for analytics or data visualization using SQL, Spark, R/Python, etc. Ability to learn complex methodologies quickly and draw on your creative problem-solving skills to achieve results Ability to convey complex analytical approaches and findings Intrinsic ability to look at data and identify patterns, problems, or analysis opportunities Ability to autonomously manage simultaneous projects in a fast-paced business environment Ability to multi-task and work with manager to prioritize efficiently to meet deadlines About Comscore At Comscore, we’re pioneering the future of cross-platform media measurement, arming organizations with the insights they need to make decisions with confidence. Central to this aim are our people who work together to simplify the complex on behalf of our clients & partners. Though our roles and skills are varied, we’re united by our commitment to five underlying values: Integrity, Velocity, Accountability, Teamwork, and Servant Leadership. If you’re motivated by big challenges and interested in helping some of the largest and most important media properties and brands navigate the future of media, we’d love to hear from you. Comscore (NASDAQ: SCOR) is a trusted partner for planning, transacting and evaluating media across platforms. With a data footprint that combines digital, linear TV, over-the-top and theatrical viewership intelligence with advanced audience insights, Comscore allows media buyers and sellers to quantify their multiscreen behavior and make business decisions with confidence. A proven leader in measuring digital and set-top box audiences and advertising at scale, Comscore is the industry’s emerging, third-party source for reliable and comprehensive cross-platform measurement. To learn more about Comscore, please visit Comscore.com. EEO Statement: We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, disability status, sexual orientation, gender identity, age, protected veteran status or any other characteristic protected by law. To comply with federal law, Comscore participates in E-Verify. Successful candidates must pass the E-Verify process after hire. *LI-JZ1 *MSJA
2.5
comScore 2.5
Portland, OR
Reston, VA
1001 to 5000 employees
1,999
Company - Public
Advertising & Marketing
Business Services
$1 to $2 billion (USD)
Nielsen, Hitwise, Coremetrics
0
0
74
119
96.5
comScore
OR
0
21
1
0
1
0
0
Survey Data Analyst
$55K-$97K (Glassdoor est.)
PRIMARY DUTIES AND RESPONSIBILITIES Report production including writing syntax to generate tables and graphs, proofing and editing. Conducting in-depth data cleaning and analyses using traditional and advanced methods. Running key statistics and analysis as directed by the senior members of the team. Serve as support contact for clients and survey respondents with questions about survey data, process, etc. Assist with the development of new surveys or metrics, testing of SullivanCotter Client Portal, and marketing materials as required. Identifying and defining opportunities for efficiencies in day to day survey operations by leveraging software and programming solutions. Aggregate and transform data to meet the needs of efficient data analysis and reporting. EDUCATION AND EXPERIENCE REQUIREMENTS BA or BS, with emphasis in statistical research or mathematics. Advanced Excel experience required. Solid technical knowledge and experience working with Excel, Word, PowerPoint and SPSS. Basic programming experience including VBA, SQL, and Python a plus. Statistical research experience is preferred. Research leveraging survey data is preferred. Knowledge of the health care industry is preferred. Strong analytical and critical thinking skills. Excellent written and oral communication and interpersonal skills. Excellent organizational skills and ability to work independently, manage time and execute tasks in a high-pressure environment. BEHAVIORAL ATTRIBUTES Ability to present ideas in a business-friendly and user-friendly language, and respond to client and/or survey respondent inquiries. Self-starter with demonstrated ability to successfully assist with complex project deliverables in a very driven and changing organization. Demonstrated ownership of assigned tasks and dedication and perseverance to getting the job done. Flexibility, adaptability and the ability to work under tight deadlines or changing needs. Confidence and ability to work independently. Exceptional employee service orientation. Attention to detail. High level of self-motivation. Applicants for employment must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status). SullivanCotter is an Equal Opportunity Employer. Apply Now
4.2
SullivanCotter 4.2
Minneapolis, MN
Chicago, IL
201 to 500 employees
1,992
Company - Private
Consulting
Business Services
Unknown / Non-Applicable
Mercer, Korn Ferry, Integrated Healthcare Strategies
0
0
55
97
76
SullivanCotter
MN
0
28
1
0
0
0
1
Data Scientist
$15K-$16K(Employer est.)
Learn and work on meaningful initiatives with some of the best and brightest in the market research industry. The NPD Group provides the world’s most successful brands with leading market research, combining consumer and retail point-of-sale data with analytic solutions to interpret today’s market trends while anticipating tomorrow’s. In addition, we offer a career filled with innovation and growth to the forward-thinking problem solvers who join our team. Position Overview NPD group is looking for a data scientist with significant statistical modeling and programming experience. This position exists within the Methodology team, a core function in Research Science that is responsible for building models and code that help achieve quality outcomes. Sampling of issues we might tackle: Differential non response Selection bias Differential use of scales Differential recruitment Data imputation Ecological inference Quantifying uncertainty Choosing between alternate methodologies Identifying spurious drivers / sources of bias Sampling of techniques we might use: Multilevel regression and post stratification (MRP) Multilevel modeling / hierarchical modeling Propensity-adjustments Matching Raking Post-stratification Causal modeling Generative models Optimization Artificial intelligence Although modeling expertise is central to this role, candidates will also benefit from experience modifying model-based approaches to be used at production scale. Also helpful is experience triangulating estimates from disparate data sources with different sample frames, levels of measurement, and frequency of collection. The ideal candidate will be an experienced statistical programmer using R who also has experience working with survey and sales data, refining and developing methodological improvements, and familiarity with or willingness to learn Agile or Lean approaches to developing new product improvements. Responsibilities: Use various modeling approaches to design enhancements to NPD methodologies Quantify improvements to data due to modeling Carry out tests of alternative implementations of these enhancements Making sure code to implement models on an ongoing basis is robust by creating unit tests Investigating unexpected results and brainstorming alternative methodological solutions. Provide peer mentoring of other team members via code reviews, pair programming, unit test/acceptance test reviews, and brainstorming sessions. Adopt and continue to improve usage of development practices and patterns, such as test-driven development, version control, and use of agile management tools. Conduct original research-on-research (e.g., through simulations and/or evaluations of historical data) to improve methodologies, processes, and data integrity for both survey and scanner (point-of-sale) data. Promote consistency in implementation of designed enhancements across different businesses Maintain relationships with Research Science client teams to understand what is working well with NPD methodology and what could be improved Listen to internal customers and build an understanding of their needs before building solutions Communicate results and procedures in a concise and polished manner to diverse internal stakeholders Back up assertions with facts, and design experiments to quantify or reduce uncertainty when dealing with the unknown Qualifications: Degree in statistics, quantitative social science, computer science, mathematics, or related fields is required. Graduate-level experience preferred. 6+ years of work experience, with solid breadth and depth of knowledge of statistical and analytic techniques. Excellent time management and creative problem solving skills. Experience with data analysis in R is required. Experience with additional languages and/or more extensive proficiency in R preferred. Excellent written and oral communication skills, with the ability to communicate effectively to both technical and non-technical audiences. Experience with one or more development methodologies (Agile, Lean, Scrum) is preferred. Experience with tools for managing software development is preferred (tools such as JIRA, Confluence, Github/Gitlab issue tracker, Trello, Team Foundation Server/DevOps Server, etc). Location: We would prefer to find a candidate who can work from either our corporate headquarters in Port Washington, NY, or one of our other largest offices, in Rosemont, IL. However, we are committed to finding the right candidate across all US locations. We have offices in many US cities, including: Chicago, IL; New York, NY; Los Angeles, CA; San Diego, CA; Cincinnati, OH; Boulder, CO; Bentonville, AR; Greensboro, NC; Houston, TX. The NPD Group, Inc. is an Affirmative Action/Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status or any other characteristic protected by law.
3.9
NPD 3.9
Port Washington, NY
Port Washington, NY
1001 to 5000 employees
1,966
Company - Private
Research & Development
Business Services
$100 to $500 million (USD)
-1
0
0
15
16
15.5
NPD
NY
1
54
0
0
0
0
1
Data Scientist
$61K-$106K (Glassdoor est.)
Bakery is a creative and R&D company headquartered in Austin, TX with offices in Tokyo. We work with trendsetter brands to launch products that informed consumers want. Brands like Smirnoff, LaCroix, Nike and Audi turn to Bakery to achieve their business goals by using data to inform great storytelling through innovative media channels. In 2020, Bakery was named #2 Best Place To Work by AdAge in the small agency category. The Data Scientist will be part of our Analytics and Strategy team. He or she will run advanced analytics statistical models, track emerging trends that aren't visible on the surface, unlock consumer insights and connect them with cultural and industry trends to develop inspiring strategies, and constantly help improve our tracking tools and methods. Responsibilities: Interpret objectives and Key Performance Indicators based on client requirements Tell comprehensive stories of how customer behavior affects our clients' products and services Model upcoming trend possibilities, assess risk and present best ROI scenarios Present monthly campaign metrics, trend modulation and suggestions for optimization in an insightful way Manage team of Data Analysts and Strategists Improve data models and algorithms on an ongoing basis to ensure relevant and valuable insights continue being gathered Interact regularly with internal stakeholders to provide data retrieval, integration, reporting, and analysis support for marketing and product development initiatives Summarizing, visualizing, communicating and documenting analytic concepts, processes and results for technical and non-technical audiences Requirements 5+ years experience in a Market Strategy, Analytics and/ or Research role Demonstrated background in quantitative analysis, especially concepts related to statistical analysis, machine learning, predictive modeling and studying irrational patterns Intermediate experience with at least one of R, Python, or functional equivalent Extensive experience with SQL and Excel Experience with social listening dashboards and platforms (Brandwatch, Crimson Hexagon, etc) Strong knowledge of DoubleClick, Google analytics and Facebook Insights Background investigating consumer behavior/attitudes on social/digital channels A demonstrated passion for and understanding of social media A firm grasp of mathematical concepts relevant to insight gathering and trend tracking Familiarity in running complex research projects that require data inputs from multiple sources Demonstrable knowledge of using social media to solve business challenges Passion for keeping up with industry trends and pop culture Commitment to excellence—working nonstandard hours when necessary, anticipating issues and communicating with diplomacy, identifying emerging platforms and trends to drive innovation The ability to translate metrics into insights into action Innate curiosity and entrepreneurial spirit Benefits Unlimited Vacation Time Summer Skip Days / Mini Retreats Pet Friendly Office Yearly Creative Stipend No Time Tracking! Medical, Dental, and Vision insurance with plenty of choices!
4.3
Bakery Agency 4.3
Austin, TX
Austin, TX
1 to 50 employees
2,010
Company - Private
Advertising & Marketing
Business Services
Unknown / Non-Applicable
-1
0
0
61
106
83.5
Bakery Agency
TX
1
10
1
0
0
0
1
Risk and Analytics IT, Data Scientist
$91K-$149K (Glassdoor est.)
OUR AGENCY Making a Difference SWIB is a trusted and skilled global investment organization managing the assets of the Wisconsin Retirement System (WRS) and other separately managed funds. With about $129 billion in total assets under management, SWIB has been recognized by the investment industry for its teamwork and innovation that helps make it a premier asset manager. Sophisticated investment management strategies, forward-looking technologies, and strong internal asset management make SWIB a leading investment organization. For public employees in Wisconsin, SWIB is a unique and valuable partner. Investing for the financial security of more than 635,000 individuals and for the 1,500 Wisconsin employers who contribute on behalf of their employees SWIBs strong management of the WRS has helped fuel one of only a few fully funded public pension funds in the country. SWIBs long-term investment returns meet the challenges of a constantly evolving investment landscape while helping grow and protect the assets of the WRS, the 8th largest public pension fund in the U.S. and 25th largest public or private pension fund in the world. We are a mission driven organization and the participants we serve are our mission. By bringing a disciplined, prudent and innovative approach to market opportunities, SWIB has been successful in generating respectable returns and maintaining the trust of the beneficiaries and stakeholders of the funds we oversee. Join HIGHER PERFORMERS Home to Top Talent SWIB has long been recognized as an investment leader because of its success in maintaining the WRS and for the highly-qualified staff overseeing the retirement trust funds. SWIBs internal team invests a majority of its assets under management. This means SWIB is committed to investing in professionals that will keep the organization at the forefront of the investment industry. As an innovative organization, SWIB offers professional development opportunities that enable staff to grow and develop. Approximately 61 percent of SWIBs investment professionals are Chartered Financial Analyst (CFA) charterholders. About the Team Partner with, build, maintain, enhance and manage the data and technology for the Asset and Risk Allocation (ARA) division which is responsible for the overall investment structure of the Core and Variable Trust Funds. ARA recommends and implements the asset allocation for the policy portfolio, recommends and implements the active risk budget, and is responsible for overall risk monitoring and management. The Risk and Analytics IT department primarily partners with the Asset & Risk Allocation team as well as work with other internal divisions. There will be opportunities to apply skills in both technology and finance. This role offers a unique opportunity to learn and contribute to the technology and the business through technology. Essential activities: Creating reporting, decisioning systems or outputs, performing rapid analysis on data issues, and instrumenting the system with data quality rules to proactively catch and prevent issues, creating enriched and enhanced datasets with advanced data manipulation and modeling skills, use of primarily Oracle, SQL Server, Snowflake, Python, delivering risk, return, cost metrics and partner with various internal departments to improve the overall state of technology and operations, architecting, developing, testing, documenting and supporting software and technical solutions for the SWIB ARA team as well as other teams, assess and revisit inventory business logic, calculations and reporting, leveraging SQL, Python and communication skills in various avenues, instrument data quality rules and metrics in the system. Technical Skills: Oracle SQL, SQL Server Snowflake (or some equivalent datastore tool) Python experience JIRA and Confluence Alteryx (or some equivalent ETL tool such as Informatica) PowerBI (or some equivalent BI tool such as Tableau) Data Skills: SQL development ETL (Extract Transform load) exposure Python experience Financial Knowledge recommended but candidates in other industries highly recommended to apply: Understanding of multi-asset products is desirable Comprehensions of risk, return and cost metrics in industry is desirable Exposure to the investment management lifecycle is desirable The ideal candidate: 5-10 years experience in data analytics, data science, or related fields Bachelor's degree or advanced degree in finance, quantitative finance, or another related field Ability to take various questions gathered from the business leveraging existing data as well as improving upon that data to deliver complete, consistent and precise answers Experience in working with/understanding the various lifecycles of data management, extraction, loading, transformation to its applications in analysis, research and solving problems Extensive knowledge in composing Oracle SQL, SQL Server queries, data modeling, and having a SQL and analytics background Experience in identifying use cases for the business, contributing to analysis and understanding of existing data models with iterative recommendations on improvement resulting in some improvement in risk, return or cost for the organization Extensive knowledge of data extraction, transformation and loading Experience refactoring SQL queries, use of Python Experience working with large structured and financial data sets Ability to follow rigor in creating/updating documentation, maintain process (i.e. JIRA tickets) and following technology and business best practices Ability to present and communicate well and connect business and technology Ability to tactically understand results in context (i.e. when does something look wrong), and strategically how to resolve those issues via data quality and rule-based instrumentation Interest in newer data technologies, Snowflake programming, i.e. Python Interest or experience in investment management, quantitative finance and technology Background in Agile methodologies and their applications SWIB Offers: Competitive McLagan-base salary Meaningful performance-based incentive compensation A comprehensive benefit package Educational and training opportunities Tuition reimbursement Challenging work in a professional environment The position requires U.S. work authorization and residency in, or willingness to relocate to the Madison, Wisconsin area. SWIB is prepared to offer relocation assistance as needed.
2.7
State of Wisconsin Investment Board 2.7
Madison, WI
Madison, WI
51 to 200 employees
1,951
Government
Investment Banking & Asset Management
Finance
$50 to $100 million (USD)
-1
0
0
91
149
120
State of Wisconsin Investment Board
WI
1
69
1
0
0
0
0
Data Scientist
$127K-$199K (Glassdoor est.)
The Position The Data Scientist of Technical Institute (TI) is a member of the US Medical Affairs Evidence for Access (E4A) Medical Unit. He/she assists senior TI team members to design and execute retrospective observational research using in-house real-world data (RWD). As a subject expert, he/she may also review and design observational studies that are conducted by external vendors. Key responsibilities include: Support principal/senior TI data scientists to design and execute retrospective observational studies for Health Economics and Outcomes Research (HEOR) and Health Policy and System Research (HPSR) using in-house RWD Analyze secondary data, including insurance claims, electronic medical record, patient survey, and disease registry. Design, develop, test, implement, validate, document, and maintain effective and efficient SAS or R programs for conducting, analyzing and reporting observational database studies. Contribute to program library and web-based tool development and maintenance. Provide quality check of peer analysts programs. Evaluate new data sources and research method CMG Operating Principles I put the patient first, always. I am obsessed with meeting customer needs. I act on behalf of the whole company, not just my team. I am inclusive. I build a culture of trust. I have a growth mindset. I act with urgency. I am accountable. I radically simplify and prioritize for impact. I follow the science. I build our reputation. Qualification: Candidates for this position should hold the following qualifications, have the following experience, and be able to demonstrate the following knowledge, skills and abilities to be considered as a suitable applicant. Please note that except where specified as preferred, or as a plus, all points listed below are considered minimum requirements. Years of experience listed below can be substituted with equivalent, relevant competency levels. Education and experience Master and/or doctorate degree in data science, economics, epidemiology, public health, psychology, statistics, or other health services research related disciplines. A minimal of 4 years' previous work experience in consulting, academic/research institute, and/or pharmaceutical industry experience in functions such as health economic outcomes research, epidemiology, statistical analysis, marketing, etc. Skills and ability • PhD degree in a relevant discipline is preferred • Demonstrated experience in observational research study analysis Working knowledge of relevant national healthcare systems, specifically with large observational and insurance claims databases, experienced with diagnostic, procedure, and pharmaceutical coding systems • Broad and integrated knowledge of all aspects of the programming discipline • SAS Base, SAS/STAT, SAS/GRAPH, SQL and macro programming experience • Programming experience in R is a plus • Strong analytical and problem-solving capabilities. Advanced statistics and health economics concepts are a plus. • Experience in publication in peer-reviewed journal is preferred • Strong attention-to-detail • Excellent communication skills, both written and verbal • Ability to work collaboratively in a dynamic, team-based environment • Ability to work independently on all assigned tasks and projects • Ability to prioritize and adjust project plans appropriately • Demonstrated ability to learn and embrace new technologies, applications and solutions Who We Are A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work. The next step is yours. To apply today, click on the "Apply online" button. Genentech is an equal opportunity employer & prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status. For more information about equal employment opportunity, visit our Genentech Careers page. Job Facts JOB FUNCTION Modelling & Simulation COMPANY/DIVISION Pharmaceuticals SCHEDULE Full time JOB TYPE Regular
3.9
Genentech 3.9
South San Francisco, CA
South San Francisco, CA
10000+ employees
1,976
Subsidiary or Business Segment
Biotech & Pharmaceuticals
Biotech & Pharmaceuticals
$10+ billion (USD)
-1
0
0
127
199
163
Genentech
CA
1
44
0
0
0
0
1
Lead Health Data Analyst - Front End
$74K-$126K (Glassdoor est.)
Wednesday, March 25, 2020 JOB SUMMARY: Independently lead the extraction and analysis of health care data for specific studies and corporate initiatives. Lead data intensive projects and serve as a technical resource to department staff and management on technical issues; develop new analyses and reporting metrics to assist management with decision making. Train and mentor less experienced staff. Develop and improve automated processes to increase the efficiency and accuracy of work products. ESSENTIAL JOB FUNCTIONS: Initiate and lead data intensive projects; translate quantitative findings into practical insights through the interpretation of data, trends and other sources. Prepare project results or recommendations for a wide range of audiences using written reports and presentation exhibits/graphics. Perform complex analytical work of health care data. Utilize data to provide insights about customers and prospects to support the growth of various market segments. Conduct special data extraction and analysis studies. Summarize results and provide recommendations where appropriate. Design, implement, and maintain various databases as assigned; develop reporting capabilities and ensure data quality and documentation is adequate. Identify areas where operational efficiency can be improved through enhanced automation. Collaborate with technical staff on implementation of enhancements. Communicate necessary changes and enhancements to all internal/external customers. Represent the organization at external meetings. Provide recommendations and input to new contract provisions for performance guarantees. Respond to various Requests for Implementation as requested by marketing staff. Perform special studies as needed. Perform other duties as assigned. QUALIFICATIONS: Minimum Education and Experience: Bachelor’s degree in Computer Science, Mathematics, Economics or related field; or an equivalent combination of education and experience Seven to ten years health data analysis, business analysis, software application, database design, and technical documentation experience, preferably in the health insurance industry Preferred Education, Additional Qualifications and Experience: Knowledge of applied statistics Knowledge of econometric modeling Knowledge of marketing analytic principles and modeling Experience utilizing competitive intelligence Background in Actuarial Science Experience with version control practices. Fluency in design patterns. Knowledge of Test Driven Development. Required Knowledge, Skills, and/or Abilities: Knowledge of claims processing and membership processing for all BCBSRI lines of business Knowledge of CPT-4 and ICD-10 coding and covered benefits Understanding of SAS programming, spreadsheet, and database software and other application development tools Knowledge of general mathematical principals Working knowledge of Business Objects and Windows Understanding of micro and mainframe computer systems Ability to mentor, coach and provide guidance to others Expertise in JavaScript programming Expertise in DHTML Expertise with SAS programming constructs. Expertise with SAS metadata and server configuration. Ability to understand, visualize, and code to specification. Ability to understand requirements and independently interpret and discern needs. Experience with Auditing data for accuracy and integrity. Experience with architecting analytical solutions Understanding of object-oriented principles. Expertise in ANSI SQL methods Experience with Transactional databases Experience with third normal form database schema design. Expertise with denormalized database schema design. Understanding of functional programming paradigms. Ability to identify performance bottlenecks. Ability to optimize code for run-time performance. Background in Business Intelligence and Dashboard design. Knowledge of UI and user experience design. Ability to parse and decipher SAS log output. At Blue Cross & Blue Shield of Rhode Island (BCBSRI), diversity and inclusion are central to our core values and strengthen our ability to meet the challenges of today's healthcare industry. BCBSRI is an equal opportunity, affirmative action employer. We provide equal opportunities without regard to race, color, religion, gender, age, national origin, disability, veteran status, sexual orientation, genetic information and gender identity or expression. The law requires an employer to post notices describing the Federal laws prohibiting job discrimination based on race, color, sex, national origin, religion, age, equal pay, disability, veteran status, sexual orientation, and genetic information and gender identity or expression. Please visit http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf to view the "EEO is the Law" poster. Other details Pay Type Salary
3.4
Blue Cross & Blue Shield of Rhode Island 3.4
Providence, RI
Providence, RI
501 to 1000 employees
1,939
Nonprofit Organization
Insurance Carriers
Insurance
Unknown / Non-Applicable
UnitedHealth Group
0
0
74
126
100
Blue Cross & Blue Shield of Rhode Island
RI
1
81
0
0
0
1
0
Research Scientist
$33K-$72K (Glassdoor est.)
Job Title: Research Scientist Expertise in language learning and development City, State: Omaha, Nebraska Location: Center for Childhood Deafness, Language & Learning Job Summary: Scientists at Boys Town National Research Hospital are full-time researchers with no teaching or administrative responsibilities and reasonable service commitments. Senior scientists aim for 50% salary support on external grants. Via participation in the Center for Perception and Communication in Children (CPCC) funded by a Centers of Biomedical Research Excellence (COBRE) grant, junior scientists are provided with extensive mentoring and three years of full support to enable them to reach this goal. All scientists will have access to new, state-of-the art laboratory facilities, generous start-up funds, and extensive supports for grant management, IT, participant recruitment, and clinical measurement. Scientists at Boys Town National Research Hospital have the advantage of working alongside an outstanding, internationally recognized group of colleagues. In addition to clinicians and scientists in the CCDLL, collaborations are possible with faculty in the Centers for Neurobehavioral Research, Sensory Neuroscience Research, Audiological and Vestibular Services, and Hearing Research. Our intellectual community also includes colleagues at the University of Nebraska-Omaha, the University of Nebraska-Lincoln, the University of Nebraska Medical Center, Creighton University and the Creighton University School of Medicine. Our participation in the Great Plains IDeA-Clinical & Translational Research Center provides training opportunities, partnerships, and resources for scientists who wish to translate science into better health outcomes. Responsibilities: Work that fits this focus could involve examination of differences between learners with varying diagnoses; determination of the influences of intervention as well as family, academic, and social environments on language outcomes; comparison of developmental processes that support language learning during infancy, childhood, adolescence, and young adulthood; and investigation of brain adaptability and neurologic pathways that support language learning and development. We are assembling a faculty that can offer a unique perspective on such issues, one that is informed by a commitment to understanding and ameliorating the effects of childhood disabilities on language learning and development. Our vision is to grow the CCDLL into a program with tightly integrated research and clinical arms that work synergistically on issues of language learning and development. Required Qualifications: Ph.D. as well as post-doctoral studies or experience in Speech-Language Pathology, Cognitive Science, Developmental Psychology or a related field, and a record that demonstrates a highly productive and excellent translational research program. Expertise in pediatric clinical populations and treatment research is of particular interest, but not required. About Boys Town National Research Hospital: Since the opening of Boys Town National Research Hospital in 1977, the hospital has been internationally recognized as a leader in clinical and research programs focusing on childhood deafness, visual impairment and related communication disorders. The hospital annually serves more than 44,000 children and families from across the United States. With 28 research labs and $7.1 million annually in extramural funding, the Boys Town National Research Hospital is dedicated to providing leading edge clinical care, pioneering translational research, and improving the lives of children and their families through applied technology and educational outreach programs. Our employees are our #1 supporters when it comes to achieving Boys Town's mission, which is why we offer an array of competitive and attractive benefit options. Unique perks to Boys Town employees and their families include free visits to Boys Town Physicians, free prescriptions, tuition assistance, access to the campus Field House, parenting resources from our experts and advancement opportunities within the organization, just to name a few. Working at Boys Town is more than just a job, it is a way of life. Date Posted: February 4, 2020 Job ID: 15106 This advertisement describes the general nature of work to be performed and does not include an exhaustive list of all duties, skills, or abilities required. Boys Town is an equal employment opportunity employer and participates in the E-Verify program. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. To request a disability-related accommodation in the application process, contact us at 1-877-639-6003.
3.8
Boys Town 3.8
Omaha, NE
Omaha, NE
1001 to 5000 employees
1,917
Nonprofit Organization
Social Assistance
Non-Profit
Unknown / Non-Applicable
Boys & Girls Clubs of America, AdoptUSKids, Foster Care to Success
0
0
33
72
52.5
Boys Town
NE
1
103
0
0
0
0
1
Medical Lab Scientist
$17-$24 Per Hour(Glassdoor est.)
Overview About Tower Health is a strong, regional, integrated healthcare provider/payer system that offers leading-edge, compassionate healthcare and wellness services to a population of 2.5 million people. Together, our six hospitals and other entities provide a full range of medical care from prevention, screenings and education; to the latest clinical services and surgeries available; to rehabilitation. We also offer wellness programs and public health services that ensure our communities are the healthiest they can be. Our caring, highly trained physicians and staff are committed to patient safety and patient satisfaction. Who We Are With more than 12,000 team members, Tower Health includes Reading Hospital, a teaching hospital based in West Reading; Brandywine Hospital in Coatesville; Chestnut Hill Hospital, a teaching hospital in Philadelphia; Jennersville Hospital in West Grove; Phoenixville Hospital in Phoenixville; and Pottstown Hospital in Pottstown. We also operate Reading Hospital Rehabilitation at Wyomissing and Reading Hospital School of Health Sciences, and we have a comprehensive physician network. Collaboration across Tower Health enables our hospitals, providers, leadership and staff to leverage best practices across the health system. Our patients benefit from access to a broad range of services all right here in our region. #LI Responsibilities The Medical Laboratory Scientist is responsible for obtaining or receiving specimens, performing clinical laboratory tests by standardized procedures, understanding method principles, performing quality control, performing preventive maintenance, and interpreting results accurately, acceptably and within critical limits. The MLS works independently, organizing work to meet established deadlines and validates all data obtained. Qualifications Bachelor's Degree: Baccalaureate Degree in Medical Technology, Clinical Laboratory Science, Medical Laboratory Science or related science (Required) Minimum of 1 year of experience Certification and Licensure Requirements. MLS (ASCP) (Preferred) To Be Discussed 2-Evening
3.6
Tower Health 3.6
West Reading, PA
Reading, PA
5001 to 10000 employees
2,017
Nonprofit Organization
Health Care Services & Hospitals
Health Care
Unknown / Non-Applicable
-1
1
0
17
24
20.5
Tower Health
PA
0
3
0
0
0
0
0
Junior Data Analyst
$37K-$63K (Glassdoor est.)
JOB SUMMARY The Junior Data Analyst will be responsible for the accurate and timely delivery of reports and data requests to various internal and external stakeholders within the HSC Health Care System. The Junior Data Analyst will also be required to develop a broad understanding of data sets available throughout the HSC Health Care System and will be required to create documentation that describes the flow of data from any given data set to its final output format, in accordance with policies set forth for the BI& Analytics area. The Junior Data Analyst will assist with the development, implementation, and maintenance of good and accurate data flowing from user inputs to reporting outputs. Position is responsible for the preparation and analysis of specific reports for the HSC Health Care System. The Junior Data Analyst educates and provides technical support as needed or requested within the scope of specific assigned responsibilities. Supports the Director/Senior Director in all of these endeavors. JOB FUNCTIONS Essential job duties: List job duties: 1.Ability to think strategically in connecting data flows into big picture business outcomes. 2.Ability to extract data using a variety of commercially available tools including MS Excel, MS SQL tools, including the ability to learn new analytics tools such as Tableau, Power BI, etc. Ideal fit will be an Excel guru comfortable with advanced data manipulation functions. 3.Develops a mastery of all available data sources to effectively serve as an organizational expert on from which databases data can be obtained. Demonstrates a curiosity and drive for identifying the most efficient and accurate reporting solutions. 4.Develops and maintains quality control standards and data reconciliation techniques for internal and external reporting. 5.Ability to create and maintain documentation relating to data management including training guides, report specifications, and data dictionaries. Documents the methodologies used to develop reporting outputs, including demonstrating the flow of data to supervisors for review purposes. 6.Ability to complete and validate ad-hoc data requests as needed by various internal departments 7.Ability to assist in maintaining the flow of accurate data sets to various tools that allow stakeholder access to information in a self-service manner, including Deerwalk, SSRS, and other tools as introduced. 8.Analyzes data to forecast and interpret potential trends in population health, and to ask/answer questions about medical claims, membership, care management, utilization management, etc. 9.Assists in creating graphs and charts for presentations to internal and external stakeholders. 10.Follows departmental policies and procedures in preparation of both recurring/compliance reports and ad hoc reports. 11.Attends meetings where reporting and analytics expertise is needed and represents the department in both internal and external settings. 12.Adheres to reporting deadlines for assigned reports. Other job duties: 1.Ability to learn to write SQL code using multiple tools such as SQL Server Management Studio or GUI programs that assist with developing queries and reports. 2.Ability to work independently 3.Good communication and interpersonal skills 4.Organized, detail-oriented, and ability to multi-task 5.Team player with a positive attitude and a focus on business issues 6.Willingness to learn and become competent on operational systems (e.g. Claims, Care Management, CRM, etc.) as needed for job performance. 7.May perform other duties in addition to those outlined in this job description. QUALIFICATIONS Required Experience: 1.Must have proven problem solving and critical thinking skills. 2.Light experience in writing SQL statements or using a graphical user interface tool that writes SQL statements. 3.Intermediate to Advanced level knowledge of Microsoft Office Suite including Excel, Word. 4.Experience presenting technical data and information to non-technical users. License/Certifications: N/A Required Education: BA/BS in computer science, statistics, and/or public health or related field.
3.3
The HSC Health Care System 3.3
Washington, DC
Washington, DC
501 to 1000 employees
1,883
Nonprofit Organization
Health Care Services & Hospitals
Health Care
Unknown / Non-Applicable
-1
0
0
37
63
50
The HSC Health Care System
DC
1
137
0
0
0
0
1
SQL Data Engineer
$67K-$119K (Glassdoor est.)
Overview ProSphere is seeking an experienced SQL Data Engineer to provide highly specialized applications and operational analysis. The Engineer assists with planning and supporting network and computing infrastructure and has knowledge of networking technologies. The Engineer is cognizant of all phases of software development with emphasis on the planning, analysis, modeling, simulation, testing, integration, documentation, and presentation phases. This is full-time position located in Austin, TX. Veterans are encouraged to apply. Responsibilities Develop, implement and maintain a scalable data management architecture to support the storage and querying of large datasets Create and maintain data pipelines to automate the processing of large data sets Help design and maintain efficient data collection workflows with other groups within the company Manage and perform data analysis to identify data quality issues Propose new technologies that could improve the way data is handled Manage data security and provide efficient access to engineering teams Communicate technical data and approaches to both technical and non-technical audiences Perform Database maintenance Building and analyzing dashboards and reports Evaluating and defining metrics and perform exploratory analysis Monitoring key product metrics and understanding root causes of changes in metrics Empower and assist operation and product teams through building key data sets and data-based recommendations Automating analyses and authoring pipelines via SQL/python based ETL framework Qualifications Master's Degree in Computer Science, Electronics Engineering or other engineering or technical discipline is required (10 years of additional relevant experience may be substituted for education) 5+ years' relevant experience as a data engineer or SQL developer. Expertise in Relational Database Management Systems (RDMS) with proficiency in TSQL and PL/SQL. Experience in Data Platform Tools such as SSIS, SSDT, SSMS, TOAD and Visual Studio. Experience working in an environment using CRISP-DM and Agile methodology. Experience in Data Engineering concepts such as ETL, ELT, performance optimization/tuning and automation of process flows. Hands on experience writing SQL scripts, DDLs and stored procedures to perform simple to complex analysis. Strong Communication, Presentation and Facilitation Skills. Must be able to explain data quality issues and impacts to a non-technical audience. Strong and creative analytical skills to integrate and extract meaningful information from the data available. Strong knowledge of data visualization tools such as PowerBI and Tableau. Experience working with cloud computing such as Azure/AWS, cloud architecture, Hadoop, Github/Gitbash preferred. Hands on experience with Python/R and working with Big Data is a plus. Physical Demands Typical office environment. Ability to sit and stand for extended periods of time Ability to lift 5-20 lbs. ProSphere offers full-time employees a comprehensive and competitive benefits package including paid vacation, sick leave, holidays, health insurance, life insurance, military leave, training, tuition reimbursement, a wellness program, short- and long-term disability, 401(k) retirement plan with company matches/immediate vesting, commuter benefits, and more. It is ProSphere’s policy to promote equal employment opportunities. All personnel decisions, including, but not limited to, recruiting, hiring, training, promotion, compensation, benefits and termination, are made without regard to race, creed, color, religion, national origin, sex, age, marital status, sexual orientation, gender identity, citizenship status, veteran status, disability or any other characteristic protected by applicable federal, state or local law.
3.4
Pro-Sphere Tek 3.4
Austin, TX
Alexandria, VA
201 to 500 employees
2,006
Company - Private
Consulting
Business Services
$50 to $100 million (USD)
-1
0
0
67
119
93
Pro-Sphere Tek
TX
0
14
1
0
0
1
0
Data Scientist
$72K-$117K (Glassdoor est.)
Job Title: Data Scientist Location: Ameritas Life-Cincinnati-OHCN2 Area of Interest: Information Technology Full-Time/Part Time: Full-time Job Description: Deepen understanding and usage of data across the enterprise. At Ameritas, fulfilling life is what we do daily. We continuously strive to help our customers and employees enjoy life at its very best by reducing uncertainty, helping grow assets and protecting what is most cherished. We're here to help people put worry behind and the future ahead and help enable a life that's rich in family, happiness, health and financial security. When lives are fulfilled, our mission is fulfilled. Ameritas Life Insurance Corp is seeking a Data Scientist to drive the business by collecting and analyzing customer and operational data to deepen the understanding of the customer behavior across all channels. Essential Job Functions Work directly with the business to understand their questions, business processes, programs and/or initiatives, then identify how analytical solutions could help deliver value for them. Learn and understand the insurance industry, practices, standards and concepts for all business lines to determine how they are interrelated and the impact on data integration Determine necessary data sets and translate data into viable insights and business recommendations Responsible for utilizing software best practices, creating models, algorithms and modern techniques Utilizes extensive research and problem-solving skills that includes descriptive and predictive analytics Understand data collection capability in all business systems and recommend enhanced business processes Implement predictive modeling to create actionable outcomes Assist in automating data wrangling, iterative solution search and operationalization of models, working alongside data architects. Provide analytical support and guidance, through database querying, third-party vendor reporting and external partner reports, across the enterprise Work with cross-functional teams to resolve data discrepancies and system issues Communicate with and present to managers from all levels of the business, both internal and external Requirements Bachelor's degree or equivalent amount of experience required, preferably in a quantitative field such Data, Computer Actuarial Sciences, Engineering, Statistics or Mathematical degrees 4+ years of relevant experience in the areas listed below, or equivalent combination of education and experience. Experience programming in R, SQL, Python Knowledge of statistical areas such as ANOVA, multiple regression, timeseries modeling, principal component analyses, decision trees, clustering, etc. The ability to handle missing data through an algorithmic approach such as multiple imputations to enable insights in sparse and messy datasets Experience coding and maintaining predictive algorithms Strong research, statistical, analytical, processing and mathematical skills with ability to structure and conduct analysis Fluency with analytics platforms like SAS, DSX or SPSS, Data Robot, Alteryx, etc. Motivated and self-directed - will seek out answers rather than waiting to be told what to do Disposition for data detective work a plus Strong written and verbal skills Possess strong time management skills, as you will be managing multiple projects at once We are Ameritas: proud to say we're in the business of fulfilling life.
3
Ameritas Life Insurance Corp 3.0
Cincinnati, OH
Lincoln, NE
1001 to 5000 employees
1,887
Company - Private
Insurance Agencies & Brokerages
Insurance
$2 to $5 billion (USD)
-1
0
0
72
117
94.5
Ameritas Life Insurance Corp
OH
0
133
1
0
0
0
0
Senior Data Scientist
$116K-$185K (Glassdoor est.)
Location: San Francisco, CA- United States Job ID: 20WD38094 Position Overview Autodesk is seeking a Senior Data Scientist to join our Data Platform & Insights organization. The organization is chartered with building innovative data products and analytics solutions for Autodesk’s strategy, product, marketing, sales and customer support teams. This critical data scientist role will help us make machine intelligence an integral part of how Autodesk makes decisions and designs and builds its products. You will work alongside a product development team and apply data mining, analytics and machine learning methods to understanding how customers use, adopt and achieve successful outcomes with our products. The ideal candidate is a strong data scientist who thinks outside the box, is naturally curious, highly collaborative, and has a passion for tackling complex data-centric problems. Responsibilities Work on a variety of problems that seek to better understand how customers use their products and what drives deeper adoption and usage of products Apply your quantitative analysis, data mining and machine learning expertise to building models that make sense of user needs, usage patterns, factors that drive deeper adoption and contribute to subscriber churn Influence product development, strategy and roadmap prioritization Design and implement machine learning pipelines that improve Autodesk’s evidence-based decision-making capabilities Tackle complex problems requiring a creative mindset to find innovative and elegant solutions Minimum Qualifications BS/MS/PhD in the fields of: Mathematics, Physical Sciences, Statistics/Analytics, Computer Science, or other relevant fields Experience working with relational SQL and/or NoSQL databases Experience working with big data platforms (Hadoop, Spark, Hive) Fluency with one or more programing language: Python, Java, Scala, etc. Good understanding of CS fundamentals, e.g. algorithms and data structures Experience in statistical programming tools such as R, Matlab, SAS, Python data science toolkits, etc. Experience with data science toolkits like pandas, Jupyter, scikit, TensorFlow, etc. Familiarity with Statistics concepts and analysis, e.g. hypothesis testing, regression, experimental design, etc. Familiarity with Machine Learning techniques, e.g. classification, clustering, regularization, optimization, dimension reduction, etc. Good communication skills and ability to explain complex topics to both technical and non-technical audience as well
4
Autodesk 4.0
San Francisco, CA
San Rafael, CA
5001 to 10000 employees
1,982
Company - Public
Computer Hardware & Software
Information Technology
$2 to $5 billion (USD)
-1
0
0
116
185
150.5
Autodesk
CA
0
38
1
0
1
0
0
Data Scientist
$78K-$126K (Glassdoor est.)
POSITION TITLE Data Scientist LOCATION Raleigh, NC YOUR ROLE Genworth Mortgage Insurance is looking for motivated and talented individuals with a background in data and analytics to work on insurance focused analytics problems. The Data Scientist will report to the Senior Manager of Data Science and provides analytical cross-functional support through effective use of predictive analytics and forecasting methods to improve operational visibility and efficiencies. This is a dynamic and challenging opportunity to apply the latest tools and methods in Big Data and Data Science to a variety of business problems. YOUR RESPONSIBILITIES Research current processes and proactively identify emerging needs for analytic models Develop supervised (regression and classification) and unsupervised (e.g. clustering and segmentation) models Evolve and advance a customer behavioral segmentation model, building marketing, sales and product predicative models, analyzing results and movements of segments/clusters and providing business insights to grow the companys market share and revenue Design, create and implement advanced analytics and forecasting models to optimize business processes. Provide insights for decision making through the use of ML, traditional statistical modeling and BI. Perform monthly reporting of some key metrics as a part of advanced business intelligence support to functional areas (e.g. building Tableau dashboards or providing automated reports and decks) Partner with IT and Enterprise Data Management Organization (EDMO) teams on the evaluation of data assets and their proper use Become a trusted analytical partner to the functional areas of support (Marketing, customer solutions, Underwriting, Loss Mitigation, Pricing) and collaborate on the development and planning of analytic projects in response to business needs Develop and perform preliminary exploratory analysis on datasets associated with building advanced ML models. Ability to work with structured and unstructured data. YOUR QUALIFICATIONS Masters degree in a quantitative research field 4+ years business analytics and business support functions experience 4+ years of experience in one or more of the following statistical / analytic languages such as Python (Pandas, Scikit-Learn), Apache Spark (or PySpark), Hive, and Scala in a cloud computing environment 4+ years of experience in one or more of the following: database query and management tools (SQL, Spark, Preseto/Athena/Hive / HQL etc.) Hands-on experience with advanced analytics like logistic regression, time series, forecasting, optimization, and other predictive modeling techniques. ML experience and knowledge of ML platforms, libraries and programming. Hands-on experience working with advanced BI tools, dashboard experience with visualization and automation tools, Tableau experience preferred AWS certification or proven experience in a cloud computing environment such as, Databricks, Azure, Cloudera, Hortonworks, Google Cloud, Anaconda etc. Some experience with legacy analytics software such SAS or willingness to learn the basics Ability to translate business needs into technical requirements and articulate analytic solution to get business buy-in Ability to influence decision makers and drive consensus ADDITIONAL QUALIFICATIONS Experience or background in customer focused fields including marketing, sales, customer research and product management Ability to perform complex day-to-day ETL tasks such as data gathering, data cleaning, wrangling, coding or programming, business and analytics requirements gathering, and data analysis Experience with large analysis datasets and enterprise scale database systems (e.g. Large Hadoop, Redshift, Hive, SQL tables etc.) WHY WORK AT GENWORTH We have a real impact on the lives of the people we serve We work on challenging and rewarding projects We give back to the communities where we live We offer competitive benefits including: Medical, Dental, Vision, Flexible Spending Account options beginning your first day 20 days of Choice Time Off your first full year 11 Paid Holidays 40 hours of volunteer time off 401K Account with matching contributions Tuition Reimbursement and Student Loan Repayment Paid Family Leave Child Care Subsidy Program COMPANY Genworth Financial, Inc. is a leading insurance holding company committed to helping families achieve the dream of home ownership and address the financial challenges of aging through its leadership positions in mortgage insurance and long-term care insurance. Headquartered in Richmond, Virginia, Genworth traces its roots back to 1871. Genworth Mortgage Insurance, headquartered in Raleigh, North Carolina, is a global mortgage insurer with a major presence in the United States, Canada, and Australia. With origins dating back to 1980, Genworth Mortgage Insurance provides primary mortgage guaranty insurance coverage on residential mortgage loans, as well as mortgage pool insurance policies that enhance insurance coverage for various types of mortgage-related securities. Our mortgage insurance can help individuals secure low down payment loans and realize the dream of home ownership faster even for the first time. We know we cant deliver on our mission unless we deliver for our employees. Thats why were committed to creating a work environment that fosters inclusion, excellence, improvement and connection. We know each employee contributes in their own unique way and were dedicated to supporting every one of them to help them reach their full potential.
3.7
Genworth 3.7
Raleigh, NC
Richmond, VA
1001 to 5000 employees
2,004
Company - Public
Insurance Carriers
Insurance
$5 to $10 billion (USD)
MetLife, Northwestern Mutual, Prudential
0
0
78
126
102
Genworth
NC
0
16
1
0
1
1
1
Scientist, Analytical Development
$42K-$82K (Glassdoor est.)
Rubius Therapeutics is a clinical-stage biopharmaceutical company that is generating red blood cells and engineering them into an entirely new class of allogeneic, off-the-shelf cellular medicines. Our Red Cell Therapeutics™ can potentially be used to replace missing enzymes for patients living with rare enzyme deficiencies, kill tumors in cancer and regulate the immune system for the treatment of autoimmune diseases. We expect to begin enrolling patients in our first clinical trial during the first half of 2020, which is evaluating RTX-134 for the treatment of phenylketonuria, an inherited metabolic disorder. Additionally, we have filed our first oncology IND for RTX-240 for the treatment of solid tumors. We plan to file an IND for RTX-321 for the treatment of HPV-Positive Tumors by year-end. We are proud of our passionate, high-performance culture – one based on a set of values that are the cornerstone of who we are and how we hold ourselves accountable. Founded in 2013, we are based in Cambridge, MA and currently expanding across all functions within the organization. Having completed our initial public offering in July 2018, (Nasdaq: RUBY), we are well capitalized to execute our vision of creating life-changing cellular medicines. Red blood cells are no longer just for carrying oxygen. Check us out at www.rubiustx.com or follow us on Twitter and LinkedIn. Summary We are seeking an experienced and motivated Scientist for bioanalytical characterization to support RCT drug product development. This position will focus on developing analytical methods for characterizing cellular drug product and viral vector drug substance and identifying Quality Product Attributes, process-related and product-related impurities. The candidate will be responsible for experimental design, data analysis, technical reports and authoring CMC sections of the regulatory filings. The candidate will also represent Analytical development in the cross-functional CMC teams and drive analytical strategy and be accountable for project timelines. Expertise in developing and qualifying molecular and cellular biology assays is required. The ideal candidate will be a highly motivated individual who leads from the bench and enjoys having broad responsibilities and opportunities to work independently on various aspects of the cell therapy production platform. Responsibilities Understands project timelines and deliverables and plans/coordinates project work accordingly with departmental, functional and external stakeholders Designs and executes experiments to characterize RCT drug product for protein expression, cell metabolism and lipid structure and function Identifies critical product quality attributes in RCT drug product through forced degradation and structure-function related studies. Characterize process and product related impurities in cell product and viral vector in collaboration with process development teams Contributes significantly and independently to project work which may include multiple projects within functional area. Reviews, interprets and communicates data cross-functionally within CMC and/or project teams. Serves as a technical mentor for junior staff and leverages technical expertise as a functional resource/trainer. Assists with development of project strategy and communicates complex data/decisions within department and cross functionally as necessary Participate in the support of analytical activities at CMOs and CTOs related to analytics including method qualification, data trending, troubleshooting, optimization, review and reporting Proactively analyses manufacturing issues and coordinates potential resolution with the CMC team. Responsible for integrating scientific/technical efforts around cross-functional issues Qualifications & Education PhD in biochemistry, cell and molecular biology or related pharmaceutical science; 0-2 years relevant industry experience Extensive knowledge of hematopoietic stem cell biology and/or red blood cell physiology is strongly preferred Experiences in developing and executing cellular characterization assays and demonstrated expertise in one of the following areas - flow cytometry, qPCR, multiplexing soluble protein platforms, RNA sequence and/or single cell characterization platforms or mass cytometry. Understanding of viral transduction process and viral analytics is strongly preferred Understanding and experience of analytical assay validation is a plus. Previous exposure to GMP manufacturing of cell therapy or biological products, or participation in technical transfer of clinical processes to a CMO, or tech transfer of product release & characterization or clinical assays to a CRO, or other third party is a plus EEO Statement: Rubius Therapeutics is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. Recruitment & staffing agencies: Rubius Therapeutics does not accept agency resumes unless contacted directly by internal Rubius Talent Acquisition. Please do not forward resumes to our careers@rubiustx.com account, Rubius employees or any other company location; Rubius Therapeutics is not responsible for any fees related to unsolicited resumes.
4.4
Rubius Therapeutics 4.4
Cambridge, MA
Cambridge, MA
201 to 500 employees
2,013
Company - Public
Biotech & Pharmaceuticals
Biotech & Pharmaceuticals
$100 to $500 million (USD)
-1
0
0
42
82
62
Rubius Therapeutics
MA
1
7
0
0
0
0
0
Analytics Manager
$59K-$116K (Glassdoor est.)
Responsible for both high level and granular measurement of public and private variable marketing programs. Provide 1:1 program insights with regard to campaign offer performance and efficiency, audience segmentation and performance, ROI that drive future strategy Provide Omni-channel performance metrics. Consult with modeling team to insure past program performance informs future audience modeling efforts. Assist with program business case development. Produce quarterly reporting of campaign results as well as additional ad hoc requests. Oversee team members work as needed. Multi-task across various programs and activities simultaneously Must have: Subject Matter Expertise in 1:1 marketing program measurement Knowledge of SQL, Alteryx, and Microsoft Office preferred. Familiarity with A/B testing or experimental design (i.e., treated/control groups) is also helpful. Past experience analyzing marketing campaign results (e.g., incremental sales, net profit, ROI) Ability to query, join, and manipulate data (e.g., create new variables as needed) Experience meeting with clients directly to understand business needs and discuss findings Ability to create PowerPoints containing graphs and insights into findings Customer profiling experience Ability to present findings to the client and team meetings Additional Job Description · Highly proficient utilizing SQL and Alteryx, tableau, Qlik, etc. to manipulate, arrange, query and present data · Experience with complex problem solving – data manipulation, data quality, data modeling,statistical analysis and/or reporting · Excellent interpersonal skills with people at all management and organizational levels · Ability to respond in an effective and timely manner · Subject matter expert in an analytics specialty · BA / BS in Statistics, Mathematics, Econometrics or computer science · Min 5-year experiences as analytics team lead or manager OneMagnify is an Equal Opportunity Employer.
4.3
OneMagnify 4.3
Dearborn, MI
Detroit, MI
201 to 500 employees
1,967
Company - Private
Advertising & Marketing
Business Services
Unknown / Non-Applicable
-1
0
0
59
116
87.5
OneMagnify
MI
0
53
0
0
0
0
1
Clinical Data Scientist
$63K-$105K (Glassdoor est.)
THIS ROLE MUST BE BASED IN SAN DIEGO As part of the Data Monitoring and Management group, an integral delivery unit within the Global Product Development (GPD) organization, the Clinical Data Scientist is responsible for timely and high quality data management deliverables supporting the Pfizer portfolio. The Clinical Data Scientist designs, develops, and maintains key data management deliverables used to collect, review, monitor, and ensure the integrity of clinical data, oversees application of standards, data review and query management, and is accountable for quality study data set release and consistency in asset/submission data. ROLE RESPONSIBILITIES Serve as Clinical Data Scientist for one or more clinical trials assuming responsibility for all DM&M activities including selection and application of data acquisition standards, Data Management Plan, selection of quality risk indicators, third party study data due diligence Participates and ensures quality database design including documentation, testing and implementation of clinical data collection tools, both CRF and non-CRF, using an electronic data capture (EDC) system and/or other data collection systems. Serve as a technical resource to the study teams for DM and RBM standards, tools, data provisioning, and reporting Partners with Research/Business Units and any external DM service provider to deliver high quality data management for all studies as assigned. Proactively drives quality and efficiency to meet timeline and milestones for data management, ensuring scientific and operational excellence in support of strategic imperatives and in collaboration with the cross functional study team (s). Ensure work carried out by DM providers is in accordance with applicable SOPs and working practices. Ensure the required study-specific DM&M documents in the Trial Master File (TMF) are of high quality and are filed contemporaneously. Ensure operational excellence in collaboration with partners for application of standards, data acquisition, proactive data review and data integrity monitoring, data cleaning, e-data processing, data access and visualization, and database release. QUALIFICATIONS Proficient experience using Oracle Inform EDC software Experience with Oracle DMW preferred Working experience applying CDISC CDASH standards Demonstrated successful experience in all relevant clinical data management activities in a BioPharmaceutical or CRO setting Working knowledge of all phases of clinical trials and ability to assess and determine study requirement from protocol review Strong Project and Risk Management CRO and vendor oversight experience preferred Strong verbal and written communication skills Consistent, detail oriented, communicative, dedicated to do a job well done Minimum 5 years Data Management experience required Working knowledge of clinical research, FDA & ICH, GCP, GCDMP, and related regulatory requirements Experience using data visualization tools (e.g. Spotfire, jReview) Familiarity with MedDRA/WHO-Drug Proficiency in the use of Microsoft Office Suite of tools (Outlook, Word, Excel, etc.) Bachelor’s degree required. ROLE MUST BE BASED IN SAN DIEGO RELOCATION ASSISTANCE NOT OFFERED WITH THIS ROLE 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. #LI-PFE Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
4
Pfizer 4.0
Groton, CT
New York, NY
10000+ employees
1,849
Company - Public
Biotech & Pharmaceuticals
Biotech & Pharmaceuticals
$10+ billion (USD)
-1
0
0
63
105
84
Pfizer
CT
0
171
0
0
0
1
1
Data Scientist
$109K-$177K (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 is seeking a Data Scientist who wants to develop innovative solutions for customers and internal product teams. We look to rapidly prototype solutions and deploy the most promising of them. We identify and leverage the latest techniques (fast.ai is a team favorite) so that our customers can stay one step ahead. On every project you'll learn something new (and likely teach us something as well). If that sounds appealing to you - we'd love to chat. Responsibilities include: Develop solutions spanning multiple subject areas, from NLP to Image and Video. Maintain awareness of state-of-the-art machine learning and techniques, methods and platforms, including commercial and open source. Implement, configure and test machine learning and deep learning libraries and platforms (e.g. fast.ai, TensorFlow, Keras, XGBoost, LightGBM). Test solutions on AWS using services such as SageMaker, EC2, and Snowball Edge. Write blog posts and presentations that clearly communicate complex machine learning concepts to both technical and non-technical audiences. Contribute to visually-appealing, web-enabled prototype applications that illustrate relevant machine learning capabilities. Basic Qualifications: Experience with Python Experience with machine learning or statistics Ability to work both independently and collaboratively. High levels of curiosity, creativity, and problem-solving capabilities. Strong written and verbal communication skills. Comfortable navigating the command line. Desired Skills: Research experience in Machine Learning specific to Natural Language Processing, Computer Vision, or deep learning. Experience with managing data and creating algorithms using AWS. Experience with R, Java, or other programming languages. Security Clearance: Must be eligible to obtain and maintain a TS/SCI with Poly clearance 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
109
177
143
Novetta
VA
0
8
1
0
0
1
0
Sr. Data Scientist, Cyber-Security LT Contract
$116K-$194K (Glassdoor est.)
SUMMARYSenior Data Scientist will assist the core Cybersecurity team in the overall data strategy for Security products and in-house solutions to consolidate vulnerabilities across the enterprise. They will provide technical expertise and leadership on designing and developing statistical/machine learning models to analyze multiple data sets in a big data environment. This will involve leading, developing, and deploying a robust cyber-security vulnerability data strategy. RESPONSIBILITIES Lead data engineering with proven techniques, including design, development, and efficacy testing Apply statistical, machine learning and big-data techniques to security, specifically in anomaly detection, pattern recognition, behavior-based analysis, and correlation Responsible for designing, deploying, and maintaining mission critical security analytics solutions to make vulnerability data more actionable for remediation Creates prototypes in a lean/agile manner in order to influence product direction Documents development efforts through system design flows, data models, etc. REQUIREMENTS Ph. D. or Masters in Computer Science, Math, Statistics, or related quantitative discipline 3+ years experiences as data scientist with strong fundamentals in applied statistics and probability Extensive experience designing and executing machine learning models and applications Working experience in big data environment including AWS, Apache Spark, and Hadoop Programming language experience including Python/scikit-learn/matplotlib, R, Scala or Java Experience devising and driving applied research projects from proof-of-concept through implementation Experience with manipulating data and ETL in parallel processing and distributed computing environments Excellent presentation and communication skills
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
116
194
155
Numeric, LLC
PA
0
-1
1
0
1
1
1
Data Engineer
$48K-$95K (Glassdoor est.)
IZEA was built to connect the world’s top brands with influential content creators and publishers to enable influencer marketing and content production at scale. With over 500,000 Creators reaching over 3 billion fans and followers around the globe, IZEA is unmatched in its industry experience, network diversity, and technology ecosystem. A career at IZEA offers countless ways to make an impact in a fast-growing organization! IZEA is looking for a Data Engineer to join our Core Technology group in Winter Park, FL. You will use the latest tools and technology to build and support IZEA's industry-leading data initiatives. Whether contributing to our data pipelines that ingest millions of records per hour, distilling vast amounts of data into meaningful insights, or operating the services that surface those insights, you will help define what the future of Influencer and Content Marketing looks like. You will have direct access to end-users and stakeholders, and you are encouraged to build and leverage these relationships in your work. You will write and test your code, and work with our QA team to get it deployed to production. With the help of a homegrown, bot-driven CI/CD pipeline, your code will be delivered to users daily. This cross-functional team leverages Amazon Web Services for everything from ECS for containerized virtualization and hosting, to S3 for durable object storage, RDS and DynamoDB for persistence, EMR for the batch processing of billions of records, and Lambda for distributed workloads and stream consumption. Aside from the day to day, we can offer you incredible benefits including an annual continuing education budget, a trust-focused development process, a flexible and collaborative work environment where balance matters, stock ownership, and an annual company retreat. The team strives to be ego-free and motivated only by building amazing software for our users. We seek to understand the "why" behind the "what". We regularly break out into small teams to tackle problems, learn new technologies, or just share what we know with others. We test our code and invest in the health of our systems. We push each other, learn from each other, and strive to continually grow. Primary Responsibilities You will... Work with stakeholders to define the solutions to development problems and business requirements Develop and maintain the features and capabilities of our data ingestion pipelines Extract actionable and impactful insights from vast amounts of data Develop and maintain the services that surface those insights and make them available for consumption in a performant manner Create unit and integration tests for your code Reproduce and fix bugs reported by internal and external users Set goals and communicate often about your progress toward them Contribute to the ongoing improvement of the engineering organization and our software What We’re Looking For A problem solver at heart Much of our work revolves around problems that have no existing off-the-shelf solution or consensus on best practices. You'll often need to break down large problems into smaller more manageable tasks and utilize critical thinking to come up with novel ideas. 3+ years of engineering experience Things move quickly in the data group. You’ll need to be comfortable and familiar with delivering highly scalable cloud based applications. Professional experience with frameworks like Hadoop, Spark, or similar This will be a significant component of your responsibilities. You will be working with large data sets in a distributed environment on a daily basis. Familiarity w/ the Hadoop/Spark ecosystem is a must. Professional experience with Python data tools Our data team uses PySpark and Jupyter notebooks extensively. Familiarity with these technologies will also serve you well. Direct experience with relational and NoSQL databases technologies We use the best tool for the job around here. When it comes to storing and accessing data, we recognize that the technology decisions we make directly impact our ability to provide a performant customer experience, and our own costs. Experience designing and building JSON based RESTful APIs Because we are building our application with a front end framework, we carefully design and document the APIs to power it. To help us, we follow the JSON API spec, but any experience in building a RESTful API will be useful. Remember, the API is your contract with the consumers of your data! Understanding of monolithic and micro-service based architectures IZEAx still has some legacy monolithic characteristics. We move more and more of our technology to a distributed set of services, there are new challenges to overcome. Understanding the differences between these two models will help you take those challenges head on. Basic Linux skills In order to develop our data pipelines and services, you need to run it on your laptop. This means opening up some terminal windows, running some commands, and keeping the log output open. Additionally, some of our technology stack is better accessed through CLIs. Examples include the Ember CLI, the Rails CLI/console, Docker commands, Gradle, and our own CLIs. We'll walk you through it, but you should be comfy in a terminal. Ability to multitask and prioritize multiple incoming requests IZEA's Engineering team strives to provide a great experience and great service to our users. In order to do that, you may need to context switch into a support issue or drop what you are doing to start work on something else. This is part of what Agile means to us. Excellent verbal and written communications skills Regular and timely communication is the key to a trust based development process. You should be able to simply and concisely ask for feedback and direction in terms that your audience understands, and relay requested information in a timely fashion to your leaders. You should prioritize documentation of processes and code. Demonstrated experience with the following will be highly valued Data Science Background While not required, a fundamental understanding of statistics and modeling would be a great asset. Practical experience with Machine Learning and/or complex data pipelines would also be welcome. Front End development experience From time to time you may need to build visualization, or (lite) user facing experiences. Familiarity with modern web frameworks like Angular, React, Ember, or Vue would be helpful. Extra bonus points if you have familiarity w/ Javascript based visualization libraries like d3.js or Highcharts. Amazon Web Services, or other cloud providers IZEA's software is hosted on AWS, and you will need to acquire some familiarity with it. Previous experience in using a cloud provider, even if just for developer tooling, shows that you understand some of the nuances involved in working in the cloud. Familiarity with Amazon’s EMR would also be an asset. Continuous Integration & Deployment IZEA needs to get features and fixes out to customers as soon as we possibly can with as much confidence as possible. To facilitate this, we have developed a CI/CD pipeline (using 3rd party services). An understanding of what CI/CD is will help you understand how this pipeline works and how to make it even better. GitHub All of IZEA's code is source controlled on Github. We leverage Github Pull Requests for code reviews, Github integrations manage parts of our CI/CD pipeline, and Github releases define the code tags that ultimately get deployed. Much of our process documentation exists on Github pages. Familiarity with navigating Github's features will help you ramp up in our SDLC faster. JIRA IZEA uses JIRA to manage projects and report on progress to stakeholders inside and outside the company. While we strive to automate as much of JIRA as possible with bots, webhooks and reports, understanding how JIRA issues, links, attachments, and workflows work will help you understand our SDLC faster. About IZEA: We are IZEA: The Creator Marketplace. Our cloud-based technologies connect Brands and Publishers with content Creators who blog, tweet, pin, and post on their behalf. Our driving belief is that the only way to thrive in our rapidly changing world is to change ahead of it. IZEA is in a constant state of evolution and reinvention. While we may have invented the industry, we still operate like an entrepreneurial, scrappy start-up. Your time here will be exciting, educational, and at times, a bit crazy. With IZEA, you have the opportunity to join a non-traditional corporate culture, where creativity and productivity are valued over a suit and tie. We call it "The IZEA Way." Why would you want to work here? Our developers use the latest tools and technology to build the applications and services that make up the IZEA Exchange platform. We write in whatever language we need to get the job done including Ruby, Java, Python, PHP, Swift, and Javascript. We leverage the latest frameworks, such as Rails, Symphony2, and Drop Wizard for iterating quickly on our technology. Our code is deployed and operated by the people who write it, with the help of Amazon Web Services. We leverage everything from EC2 for virtualization and hosting, to Amazon EMR and Machine Learning for advanced analytics. Aside from the day to day, we offer incredible benefits including an annual continuing education budget, a flexible trust-focused development process, and an open collaborative work environment. Our team is ego-free and motivated to build great software. We regularly break out into small teams to tackle problems, learn new technologies, or just share what we know with others. We test our code and invest in the health of our systems. We push each other, learn from each other, and strive to continually grow as a team. California residents, please follow this link to view the types of information we may gather from California residents who are applicants, employees, or contractors of IZEA, and how we use such information.
4.2
IZEA 4.2
Winter Park, FL
Winter Park, FL
51 to 200 employees
2,006
Company - Public
Advertising & Marketing
Business Services
$25 to $50 million (USD)
Linqia, Collective Bias
0
0
48
95
71.5
IZEA
FL
1
14
1
0
1
1
1
Data Scientist
$83K-$133K (Glassdoor est.)
Trace Data is developing a ground breaking product to help companies monitor and secure their data. We're integrating the world of security, observability and connectivity. We're looking for people with a strong background or interest in building successful products and systems; you're comfortable in dealing with lots of moving pieces; you have exquisite attention to detail; and love learning new technologies and systems. As our Data Scientist, you will: Develop large scale machine learning algorithms that support monitoring, privacy and security capabilities. Own the machine learning algorithms that power core features in the product such as the identification of sensitive data, automated data classification and anomaly detection using unsupervised and deep learning techniques ranging from computer vision algorithms for pattern recognition to variational auto-encoders to NLP. Design, build, and launch efficient & reliable new data models, schemas and pipelines to enable analysis, modeling and machine learning. Partner with product managers, designers, and engineers to prototype and productize data mining features. Advise on best practices and statistical methods for measuring and evaluating experiments. You may be fit for this role if you: Have experience of building products from the ground up. Have a Bachelor's/Master's degree or higher in a technical field such as Computer Science, Statistics, Economics, Operations Research, Math, Physics or Engineering. Have a deep theoretical understanding of modern machine learning algorithms, statistical models or optimization. Have experience with data tools such as Python, R, SAS, SQL, etc and strong skills in data analysis, data visualization and engineering. Have the ability to own your modeling work from model development all the way to launching into production with minimal help from engineers. Have experience with MapReduce, Spark, Hive, HBase, Google BigQuery, BigTable is a plus. Experience ML frameworks like Tensorflow, PyTorch, Spark MLlib, XGBoost, and Scikit-Learn is a plus. You're a strong communicators; explaining complex technical concepts to product managers, data analysts, and other engineers shouldn't be a problem for you. About Trace Data Trace Data is an early stage startup founded in 2019 and headquartered in Oakland, California. We're backed by top tier investors including Accel and Kleiner Perkins. We're a highly cross-functional organization and encourage as much collaboration as possible. We have a culture of transparency that we carry through to internal communication, ensuring everyone has the information they need to make great decisions. We value humility, respect and diversity. We look for people who are curious, want to grow and have impact every day. Trace Data provides equal employment opportunities (EEO). All applicants are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation.
3.9
Trace Data 3.9
Oakland, CA
Santa Ana, CA
51 to 200 employees
2,000
Company - Private
Insurance Carriers
Insurance
$10 to $25 million (USD)
-1
0
0
83
133
108
Trace Data
CA
0
20
1
0
1
0
0
Sr. Scientist - Digital & Image Analysis/Computational Pathology
$105K-$198K (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 a Sr Scientist - Digital & Image Analysis/Computational Pathology at our recently dedicated San Diego Research Site. 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 Future to people around the world. Here, you will be a vital contributor to our inspiring, bold mission. As a Sr Scientist - Digital & Image Analysis/Computational Pathology, you will be empowered to serve on project teams for discovery to development programs. OBJECTIVES/PURPOSE Lead the development of image acquisition and digital analysis capabilities that complement high-content cell phenotyping technologies being developed in our rapidly expanding translational laboratory. Embed within project teams to provide digital imaging, image analysis, and statistical support that drives the development of key GI drug assets throughout the life cycle of the project. Serve as an image analysis expert for translational strategy planning that efficiently drives projects from preclinical assessment up to early clinical implementation. We are a rapidly evolving translational research laboratory within the GI Drug Discovery Unit of Takeda with the goal of implementing innovative cell phenotyping capabilities that drive development of the next generation drugs for the treatment of GI disease. This position will provide an opportunity to lead the development and expansion of the digital analysis cornerstone that will serve as an essential component of an integrated effort between pathologists, translational researchers, and preclinical scientists. Insights gained from these informatics tools will be used to inform preclinical go-no go decision making, identify drug mechanisms of action, and identify predictive biomarkers that serve to rationally direct early clinical trial design. ACCOUNTABILITIES Advancing Imaging Analysis Capabilities Report to and work with the Translational Scientist to align the development of image analysis tools with high-content cell phenotype testing being conducted in our Internal and external laboratories Implement imaging analysis approaches and machine learning to improve appropriate segmentation in tissue and deduce changes in immune context using immune and non-immune marker co-localization with digital spatial analyses Develop image co-registration capabilities that allow the merging of sequentially-stained tissue section images for analysis at both the tissue and cell-to-cell level Develop/enhance imaging algorithms to quantify cell membrane and nuclear biomarkers Provide target quantification using approaches such as percent positive and signal intensity scoring Utilize statistical analyses tools to support conclusions drawn from image analysis Develop best practices for image management as it relates to the storage of high-content images and the linking of associated metadata files Cross-Program Support Work directly with the DDU scientists to deliver immunophenotyping analysis in support of translational research and biomarker identification across our preclinical GI programs Work with our unit’s computational biology group to combine cross-platform “omics” data with spatial immune profiling in an effort to deliver a new level of translational profiling capabilities Serve as an image analysis expert for translational strategy planning that efficiently drives preclinical assessment throughout the development cycle Prepare and present findings from image analysis to the project teams EDUCATION/COMPETENCIES/SKILLS PhD in Computer Science, Biomedical Engineering, or related field with 5+ years experience contributing to or leading digital imaging and analysis-related projects, or Master’s in Computer Science, Biomedical Engineering, or related field with 10+ years experience contributing to or leading digital imaging and analysis-related projects, or BS in Computer Science, Biomedical Engineering, or related field with 12+ years experience contributing to or leading digital imaging and analysis-related projects Excellent oral and written communication skills Ability to work within multi-disciplinary and matrixed teams Good fit with Takeda core values and leadership principles Right attitude (agile, curious, open-minded, “can-do” mindset) Expertise in image acquisition and image analysis software tools as it relates to tissue classification, target quantification, and target colocalization, with emphasis on working knowledge of inForm and HALO software platforms The ideal candidate will have basic knowledge of statistical analyses using data analysis packages such as R and/or MATLAB Preference will be given to those candidates with experience in spatial profiling 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 Learn more at takedajobs.com. No Phone Calls or Recruiters Please. #LI-KL1 Locations San Diego, CA Worker Type Employee Worker Sub-Type Regular Time Type Full time
3.7
Takeda Pharmaceuticals 3.7
San Diego, CA
OSAKA, Japan
10000+ employees
1,781
Company - Public
Biotech & Pharmaceuticals
Biotech & Pharmaceuticals
$10+ billion (USD)
Novartis, Baxter, Pfizer
0
0
105
198
151.5
Takeda Pharmaceuticals
CA
0
239
0
0
0
0
1
Digital Marketing & ECommerce Data Analyst
$31K-$72K (Glassdoor est.)
Digital Marketing & eCommerce Data Analyst IT BEGAN WITH A FLIP-FLOP. But not just any flip-flop. A sandal that revolutionized the industry, bringing biomechanical support to a quintessential summer staple. From these humble beginnings in Australia to the bustling San Francisco Bay Area, Vionic has grown from a fledgling business to a global footwear brand. We’re bringing together style and science and reimagining the look of supportive footwear. Vionic has been named a 2018 Gallup Great Workplace Award Winner, and is the only company recognized in the fashion and retail sector. Vionic is one of just 39 companies globally to receive the prestigious award, which celebrates companies that achieve exceptional performance by creating a culture of high-reaching employee engagement. Gallup has rated Vionic among the top 2% of all companies based on "Employee Engagement” exceeding the national average by 65 percentage points. We are also officially certified and recognized as a Marin/Bay Area/California Green Business. In a Nutshell The Digital Marketing & Ecommerce Analyst will provide strategic and analytic support for the eCommerce and Digital Marketing teams. The eCommerce Data Analyst will implement and maintain the eCommerce Dashboard and build best in class digital marketing analytics. They will passionate about diving into Google Analytics to find new learnings and opportunities that will optimize the website and digital marketing performance. The ideal candidate has a demonstrated drive for working with data to creatively and tenaciously solve complex problems. What You’ll Do: You’ll be the “go to” person for analysis and data for the Digital Marketing & Ecommerce team. You will set up custom reporting, funnels and analyze Google Analytics data to drive insightful learnings and testing opportunities to improve conversion rates and revenue. You will use your knack for communicating complex data analysis into easy to understand bullets to explain the “story” behind the numbers and share actionable recommendations You will partner with marketing and operations managers to design promo testing with a close to evaluate incremental return and margin impacts. Perform ad-hoc data analysis and create custom reports to service the needs of business partners and leadership teams. Create internal dashboards that automate key metrics and provide insights into performance within all aspects of eCommerce and digital marketing. Manage voice of customer data to find new and better ways of collecting and communicating customer feedback. Evaluate audience segmentation, creative and other marketing-related A/B tests and provide recommendations related to experiment prioritization. Develop models that drive metrics and Ecommerce business toward improved operations and profitability – i.e. demand forecasting. What You’ll Bring to the Team: Bachelor’s degree from four-year college or university in a relevant subject (Math, Finance, Economics, Digital/marketing Analytics or related field); Minimum of 1-3 years of full-time work experience in a highly analytical capacity, preferably an eCommerce environment. 2-3 years’ experience Advanced Google Analytics, certification highly preferred. Heavy experience with e-Commerce platforms such as Magento or similar highly preferred Can communicate complex data analysis in easy to understand bullets. Experience with digital media management such as AdWords, Facebook ads manager, Criteo, Pinterest, and the like. Experience with product purchasing analysis and audience segmentation. Self-starter with problem-solving skills. Experience with Microsoft Office Suite, with particularly advanced Excel skills (vlookups and pivot tables, other advanced formulas are a must.) Experience in the development of Ecom dashboards to weekly channel performance. How We Take Care of our People: We offer a fun and dynamic workplace with a robust benefits package. Once you become a regular, full-time employee you will have access to medical, dental, vision, 401K retirement plan with employer match, Long Term Disability, Life, and a generous amount of PTO. Fresh organic fruit and juices, wellness challenges, and celebrations abound, including Australia Day! You receive free shoes each season, and receive a seriously deep discount on our products because you will want more!
3.6
Vionic Group 3.6
San Rafael, CA
San Rafael, CA
51 to 200 employees
2,006
Subsidiary or Business Segment
Department, Clothing, & Shoe Stores
Retail
$100 to $500 million (USD)
-1
0
0
31
72
51.5
Vionic Group
CA
1
14
0
0
0
0
1
Principal Scientist - Immunologist
$98K-$182K (Glassdoor est.)
Job Description OBJECTIVE: Make gene therapies and biologics Safer |The next generation of gene therapies come with uncharted safety risks. Help direct pharmaceutical drug project teams with expert advice on how to design safer, more effective cell, protein and small molecule immunotherapies. Help develop Immunotoxicity Strategy |Deliver critical data and ideas to guide projects through discovery and development. The successful candidate will develop global strategy for designing & delivering of state-of-the-art immunoassays to detect & de-risk immune-mediated toxicities for candidate drug molecules. Immunology Problem Solving |Unwanted immune activation and inhibition can derail even the most promising drug projects. Lead problem-solving teams to help save these projects & make safer drugs for patients. Develop and deliver novel immune assays, including traditional immune cell culture as well as advanced organ-on-a-chip technologies Use genomics, molecular & cellular biology to investigate mechanisms of drug-induced toxicity Help guide the development of gene therapies, oligonucleotide therapies, and therapeutic viral vectors. Steer drug discovery teams to make safer medicines using experience, in-house, and literature data. EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS: PhD in Immunology or related field, or Masters with 3+ years of industry experience. Experience with advanced cell culture approaches with cell lines, primary cells, and iPSC cells. Cell and molecular biology skills including flow cytometry, application of knock-out, knock-down technology, gene expression analysis, and biomarker assay development and validation Experience working in a matrixed team environment at a pharmaceutical company and/or CRO Broad scientific knowledge including immunology, pharmacology, toxicology, pathology, physiology and biochemistry. Expertise designing & delivering fit for purpose assays for understanding the mechanism of toxicity of agents including drugs, for biomarker development and application, and for derisking drug candidates. Skills in pathway analysis, network pharmacology Strong interpersonal and organizational skills Excellent oral and written communication skills Locations Boston, MA Worker Type Employee Worker Sub-Type Regular Time Type Full time
3.7
Takeda Pharmaceuticals 3.7
Boston, MA
OSAKA, Japan
10000+ employees
1,781
Company - Public
Biotech & Pharmaceuticals
Biotech & Pharmaceuticals
$10+ billion (USD)
Novartis, Baxter, Pfizer
0
0
98
182
140
Takeda Pharmaceuticals
MA
0
239
0
0
0
0
1
Senior Data Analyst
$55K-$100K (Glassdoor est.)
As a precaution and in compliance with applicable state stay-at-home guidelines, Dodge Data & Analytics has directed all employees to work from home and to suspend business travel until further notice. However, Dodge Data & Analytics remains open for business and continues to seek qualified candidates for open positions. We encourage everyone interested in a career with Dodge Data & Analytics to apply to our open positions by visiting https://dodge.breezy.hr/. While it may take some time for our country and the world to return to “normal,” we will continue to operate as near to normal as possible at a time when our services are most needed by the construction industry we serve. We look forward to reviewing your application. Best regards, The Dodge Data & Analytics Talent Recruitment Team About Dodge Data & Analytics: Dodge Data & Analytics is North America's leading provider of construction project information and analytics. Building Product Manufacturers, Architects, Engineers, Contractors, and firms that support them, leverage Dodge to identify and pursue unseen growth opportunities and execute on those opportunities through industry-wide workflow solutions supported by Dodge. We are industry experts and forward-looking partners to many of the nation's construction and building product manufacturing leading companies. Whether it's on a local, regional or national level, we allow our clients to better understand their markets, uncover and size hidden growth opportunities, and pursue those opportunities. We do this by providing construction project information, key insights into industry relationships and integrated workflow tools. As we look ahead, we're leveraging our 100-year-old legacy to reinvent ourselves and help the industry meet the building challenges of the future. To learn more, please visit www.construction.com Dodge Data & Analytics offers comprehensive benefits, which include: • Comprehensive Health Plan Options from Cigna upon the start of employment • Pre-tax Flexible Spending and Health Savings Accounts • 401K Plan from Vanguard upon the start of employment • Extensive Benefits including Identity Theft, Legal and Pet insurance • Work/Life Balance with generous time off starting in the first full year of employment • Compensation Program including competitive salaries and bonus eligibility • Comprehensive and on-going learning and training for sales, technology, and other associates • On-Site Gym and Café with farm-to-table options in our Hamilton, NJ location • Positive Work Environment that is open, bright, warm, friendly, and collaborative—team players welcome! Position Description: The Senior Data Analyst will play a critical role in advancing business intelligence and analytics throughout the organization. The primary area of a focus will be on driving sales enablement through the automation and measurement of key business processes in the New Business Development, Customer Success, and Marketing organizations. This role will be an integral part of delivering a holistic and data-driven view of the customer and help lead an analytical approach to problem-solving. Principal Accountabilities: Extract, transform and synthesize large and disparate data sets into actionable insights Create data visualizations and reports that tell a clear and actionable story Seek out data sources to enable a holistic view of the customer and work cross-functionally to ensure accurate interpretations and transformations are made Build automated processes, transforming raw business data into value-added business intelligence to drive historical churn reporting and modeling, lead conversion analysis, sales pipeline velocity analysis, marketing attribution, etc. Develop new and continuously improve business processes to drive sales enablement and achievement of business goals Create KPIs for key commercial business processes, develop targets, regularly measure and communicate performance vs. target with recommendations to improve results Quality ensure all work products, asking for second sets of eyes if needed to ensure the quality and integrity of his/her work Integrate internal systems and 3rd party applications with CRM (Salesforce.com) to deliver a one-stop-shop to the North American Sales organization Cleanse and maintain source system data (CRM, Marketing Cloud, etc.) and establish formal data governance processes Migrate, cleanse, transform, and load historical data from legacy systems into new platforms as needed Knowledge and Experience: Majors preferred: computer science, statistics, economics, or other quantitative fields of study Other majors considered with commensurate experience in data analysis 3-5 years of experience in data analysis, leveraging multiple source systems Demonstrated ability to extract, transform, normalize, and cleanse large data sets Ability to distill that data into actionable insights that correlate best practices and top performance Ability to work in a fast-paced environment with changing/competing priorities Experience querying and manipulating large datasets utilizing SQL Experience blending and visualizing data in Tableau Ability to learn new programming languages, applications, and analytical skills Expert MS Excel skills, experience with advanced formulas, pivot tables, etc. Intellectually curious, self-starter, creative problem solver Education & Qualifications: Bachelor's Degree required Preferred Education & Qualifications: MBA or MS in a quantitative field, statistics, analytics, etc. Python, R, or other statistical / machine learning experience a plus Dodge Data & Analytics is a strong advocate of workforce diversity, an Equal Opportunity/Affirmative Action Employer and does not discriminate based on any legally protected status or characteristic: Minority/Female/Sexual Orientation/Gender Identity/Disability/Veteran.
2.8
Dodge Data & Analytics 2.8
Hamilton, NJ
Hamilton, NJ
201 to 500 employees
2,014
Company - Private
IT Services
Information Technology
Unknown / Non-Applicable
-1
0
0
55
100
77.5
Dodge Data & Analytics
NJ
1
6
1
0
0
0
1
Insurance Financial Data Analyst
$45K-$82K (Glassdoor est.)
DESCRIPTION Clearwater Analytics® is a global SaaS solution for automated investment data aggregation, reconciliation, accounting, and reporting. Clearwater helps thousands of organizations make the most of investment portfolio data with cloud-native software and client-centric servicing. Every day, investment professionals worldwide trust Clearwater to deliver timely, validated investment data and in-depth reporting. Clearwater aggregates, reconciles, and reports on more than $3.5 trillion in assets across many Fortune 500 clients. Position Details Clearwater Analytics is looking for an Insurance Financial Data Analyst to join our Data team. This analyst role ensures that monthly, quarterly and annual reports are accurate and delivered on time to our clients. Generally, these analysts will split their time between report delivery and research. Analysts are responsible for investigating inconsistencies and errors on regulatory reports and working with other members of the team to correct errors before the final reports are delivered each month. Following report delivery, analysts research answers to questions about the reports which are relayed through client services. Responsibilities Work closely with client services and development departments to ensure the timely and accurate delivery of Insurance reports each month Reconcile Insurance reports using a state of the art web-based tie-out system and answer related questions Look for patterns of errors to identify possible common causes Research accounting guidance to support client services in responding to client questions Continuous learning and improvement in a constantly changing work environment REQUIREMENTS Knowledge of STAT and NAIC guidance Excellent verbal and written communication skills Strong organizational and interpersonal skills Strong problem solving and math skills Strong skills with Excel such as VLookUp, SUMIF, Pivot Tables, and Ribbon Utilization Bachelor's degree in related area of study Desired Experience and Skills Investment accounting experience, CPA preferred Knowledge of fixed income investments Securities or financial markets experience SQL query writing skills What we offer: Headquarters in the heart of downtown Boise Business casual atmosphere in a flexible working environment Team focused culture that promotes innovation and ownership Access to cutting edge investment reporting technology and expertise Continual learning, professional development and growth opportunities Competitive salary and benefits package; including health, vision and dental Additional benefits including PTO, 401(k) with 4% employer match
4.2
Clearwater Analytics 4.2
Boise, ID
Boise, ID
501 to 1000 employees
2,004
Company - Private
Investment Banking & Asset Management
Finance
$50 to $100 million (USD)
-1
0
0
45
82
63.5
Clearwater Analytics
ID
1
16
0
0
0
0
1
Data Scientist
$83K-$135K (Glassdoor est.)
ONLY GCCITIZEN OPTEAD (more than 1-year validity) Must-Have Business Skills bull Seasoned data scientist with 5+ years of experience developing analytical dashboards, solutions and strategy across digital marketing platforms and social ecosystems bull In-depth knowledge of digital analytics data, measurement, methodologies and industry standards. Technical Skills bull Strong working knowledge of SQL, Teradata preferred bull Extremely proficient with Tableau and other Data Visualization tools bull Strong working knowledge of process automation using a scripting language (R Python) bull Solid understanding of fundamental statistical concepts and measurement methodologies bull Web Analytics (Adobe preferred)
4
Tekvalley, Corp. 4.0
San Francisco, CA
Pleasanton, CA
1 to 50 employees
-1
Company - Private
IT Services
Information Technology
Less than $1 million (USD)
-1
0
0
83
135
109
Tekvalley, Corp.
CA
0
-1
1
0
0
0
0
Data Scientist
$70K-$122K (Glassdoor est.)
Headquartered in Lynchburg, Va., BWX Technologies, Inc. (NYSE:BWXT) is a leading supplier of nuclear components and fuel to the U.S. government; provides technical and management services to support the U.S. government in the operation of complex facilities and environmental remediation activities; and supplies precision manufactured components, services and fuel for the commercial nuclear power industry. With approximately 6,250 employees, BWXT has eleven (11) major operating sites in the U.S. and Canada. In addition, BWXT joint ventures provide management and operations at more than a dozen U.S. Department of Energy and NASA facilities. Follow us on Twitter @BWXTech and learn more at www.bwxt.com. BWXT is seeking a talented Data Scientist with computer vision experience and machine/deep learning skills for research and development of learning platforms for nuclear power, propulsion, advanced manufacturing and medicine. This position will be based in Oak Ridge, TN. Job Description/Duties: Creates 3D visualizations from data, research, and code imagery in a machine and deep learning environment to overcome advanced manufacturing abnormalities. Works cooperatively with engineers to create, build, maintain and modify data acquisition and sensor suites for automated data collection that supports quality and performance Writes algorithms and solve predictive problems by collecting, curating and integrating structured and unstructred data from different sources using convolutional neural networks, PCA, probabilistic modeling and other data science techniques. Performs functional and performance statistical analyses, set up designed experiments in the course of development, create and maintain testing documentation. Job Qualifications/Requirements: A Bachelor’s Degree in a technical or computational field of study (e.g., engineering, computer science, mathematics) with a concentration or project experience applying data science techniques is required. A Master's Degree with either or both degrees employing statistical techniques and machine or deep learning methods is preferred. A minimum of 3 years of related experience is required. Foundational education in scientific or engineering field augmented by data science specialization or experience is preferred. Strong analytical programming in C++, Python, R and/or equivalent is required. Visualization expertise such as OpenCV or other computational imaging software experience is required. Experience with deep learning methods (Tensorflow-based packages or similar, PyTorch, Keras) required. Must be a US Citizen with no dual citizenship. Must be able to obtain and maintain a U.S. Department of Energy (DOE) clearance. US Citizenship, with no dual citizenship is required for this position. Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified information or matter. Position requires U.S. Citizenship with (no dual citizenship) ability to obtain and maintain a Department of Energy (DOE) security clearance which involves an extensive criminal and financial background investigation, drug test and previous employment reference verifications. BWXT supports diversity and is committed to the concept of Equal Employment Opportunity. We have established procedures to ensure that all personnel actions such as recruitment, compensation, career development, benefits, company-sponsored training and social recreational programs are administered without regard to race, color religion, gender, national origin, citizenship, age, disability or veteran status. https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf
3.5
BWX Technologies 3.5
Oak Ridge, TN
Lynchburg, VA
5001 to 10000 employees
1,850
Company - Public
Aerospace & Defense
Aerospace & Defense
$500 million to $1 billion (USD)
-1
0
0
70
122
96
BWX Technologies
TN
0
170
1
0
0
0
0
Principal Data Scientist with over 10 years experience
Employer Provided Salary:$200K-$250K
Position Title: Principal Data Scientist Location: San Francisco, CA Duration: Full time Job Description: Work with large scale dataset which includes transactional, click-stream, and telematics data; Build models, synthesize stories from data, and turn the stories into recommendations for building products that help our members to continuously improve on their driving; Help build econometric models to drive operational excellence; Work on data acquisition strategy to augment our dataset and drive value to our organization and members; Partner with cross-functional teams to execute product roadmap and ensure data is always a forethought in decision-making; Work with Data Engineers in building and maintaining near real-time data pipeline and machine learning infrastructure; Establish and maintain data dictionary; Own data quality controls and metrics; Build and mentor a team of awesome data scientists. Apply if you: Have 5+ years of programming experience (Python preferred); Have 3+ years of experience in developing models and productionizing it; Have 3+ years of experience in machine learning infrastructure and AWS data stack; Are an expert in statistical programming language (eg. Pandas, MATLAB, R); Have proficiency in visualization tools (eg. matplotlib, ggplot2, Tableau); Have worked on A/B testing, funnel optimization, cohort analysis, and user profiling; Can split the time between data science and data engineering; Have Bachelor's Degree (or higher) in Computer Science, Math, Statistics, Economics, or similar domain. Nice to have: Recent experience working in a startup; Worked on telematics dataset.
-1
CA-One Tech Cloud
San Francisco, CA
Fremont, CA
51 to 200 employees
2,017
Company - Private
IT Services
Information Technology
$5 to $10 million (USD)
-1
0
1
200
250
225
CA-One Tech Cloud
CA
0
3
1
0
0
1
1
Data Engineer
$70K-$132K (Glassdoor est.)
The Data Engineer will work with the data Analyst and project managers to determine logical and physical database designs for new analytics models. The Data Engineer will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The Data Engineer will support database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout analytics ongoing projects. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability Create and maintain optimal data pipeline architecture Assemble large, complex data sets that meet business requirements Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency, financial reports and other key business performance metrics Work with stakeholders including the Engineering and Analytic teams to assist with data-related technical issues and support their data infrastructure needs Create data tools to support business informational technology process Work with the data analytics team to strive for greater functionality in our data systems Perform other related duties as required and assigned Demonstrate behaviors which are aligned with the organization’s desired culture and values Moderate experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Moderate knowledge of AWS cloud services: EC2, EMR, RDS, Redshift Experience with object-oriented/object function scripting languages: Python, Java, C++ Experience building and optimizing AWS data pipelines, architectures and data sets. Strong project management and organizational skills. Moderate skill in business intelligence tools such as Tableau or Qlik Moderate skills with MS Office, including Excel & PowerPoint Must be a team player with strong attention to detail and able to work independently Proven track record at delivering timely and accurate information in a fast-paced environment Excellent critical thinking, problem solving, and mathematical skills, and sound judgment Strong business acumen and ability to interface with executive management
3.2
PennyMac 3.2
Agoura Hills, CA
Westlake Village, CA
1001 to 5000 employees
2,008
Company - Public
Lending
Finance
$500 million to $1 billion (USD)
Nationstar Mortgage, Caliber Funding, Quicken Loans
0
0
70
132
101
PennyMac
CA
0
12
1
0
0
1
1
Senior Data Scientist
$73K-$124K (Glassdoor est.)
The Senior Data Scientist independently develops statistical models that will enable future growth and profitability for our book of business through appropriate pricing and underwriting of risk. He/she is responsible for the formulation of statistical models and direct application of models to address insurance business issues. Essential Functions and Responsibilities Produces complex predictive models which enable the creation of rating plans and evaluation of risk and profitability. Develops studies that evaluate new business models for customer retention and growth initiatives as well as estimate the lifetime value of customer segments. Identifies drivers of insurance costs, understanding the economics of customers’ behavior and estimating the expected losses for segments of risks using advanced statistical and analytical techniques on large data sets. Develop or participate in the development of the overall analytical framework to support the company’s strategy for growth Communicates analysis, strategy and recommendations to diverse audiences, including technical and non-technical. Collaborates with upper management to assess the potential effects of proposed solutions and incorporates these considerations into recommendations. Manages projects of high complexity. Perform other job-related duties as assigned. Advanced skills and training in predictive modeling, data mining and other quantitative and research analytics (Non-Linear Regression Analysis, Multivariate Analysis, Bayesian Methods, Generalized Linear Models, Decision Trees, Non Parametric estimations, etc.). Ability to apply various predictive modeling techniques to develop solutions to various real-world problems. Hands-on experience developing and delivering structured, methodology projects. Exceptional programming ability in SAS, SQL, R or other programming languages. Excellent written and oral communication and presentation skills. In-depth understanding of database principles and experience working with large databases. Ability to influence and guide across departmental boundaries. Qualifications and Education 3 or more years of experience developing and implementing multivariate predictive models using GLM and other statistical methods. PhD in economics, statistics, or related field required. Or in the alternative, a Master’s degree in Statistics, Engineering, Mathematics, Economics, or a related field (foreign educational equivalent accepted) and five (5) years of experience as indicated above. High level of organizational and project management experience handling multiple projects simultaneously About the Company The Plymouth Rock Company and its affiliated group of companies write and manage over $1.4 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,800 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent”.
3.3
Plymouth Rock Assurance 3.3
Woodbridge, NJ
Boston, MA
1001 to 5000 employees
1,982
Company - Private
Insurance Carriers
Insurance
$10 to $25 million (USD)
Arbella Insurance, Safety Insurance
0
0
73
124
98.5
Plymouth Rock Assurance
NJ
0
38
0
0
0
0
1
Data Engineer I - Azure
$54K-$101K (Glassdoor est.)
You’re not likely to find another company like Vermeer. Our people are from all walks of life in locations around the world, rolling up our sleeves and getting tough work done every day. Together. We’re a family-owned and operated company with an unmatched culture, one that is built on the belief that every Vermeer team member has real, personal impact – on our people, our customers and our world. Whoever you are and where you are in your career, Vermeer helps you be Equipped to Do More®. Job Summary Work Shift 1 - First ShiftThe Data Engineer I develops and operates data processing solutions to support large and complex use cases throughout the enterprise. This position cleans, transforms, aggregates, and organizes data. The Data Engineer I builds robust, fault-tolerant data pipelines that collect and deliver data to distributed systems. Essential Duties and Responsibilities include the following. Other duties may be assigned. 1. Demonstrate the Vermeer characteristics of caring culture, demonstrating agility, customer focused, and stewardship and model the associated behaviors. 2. Implement data ingestion techniques for real time and batch processes for structured and unstructured data sources. 3. Understand complex business requirements and build end-to-end and simplified enterprise information architecture solutions. 4. Follow best practices and security standards for all data, including personally identifiable data. 5. Ensure solutions adhere and conform to business requirements, data integrity standards, and Software Development Lifecycle (SDLC). 6. Ability to work in an Agile project methodology. Participate in project planning sessions, review requirements and functional specifications. Education and/or Experience - Bachelor’s degree in Computer Science, Computer Engineering, Data Engineering, Data Science, Informatics, or related field. - Previous data integration experience preferred. Other Skills and Abilities - Experience with relational databases, SQL queries, relational and dimensional data modeling, and data warehouses. - Ability to use and create web services and other integration technologies (REST, XML/JSON, SOAP, .NET). - Ability to exhaustively test and debug work products. - Strong attention to detail. - Ability to deliver creative solutions to complex business problems. - Ability to be highly adaptable, a fast learner, and resourceful. - Demonstration of good verbal and written communication skills, to communicate technical information to non-technical personnel. - Demonstration of excellent interpersonal skills with ability to interact with diverse personalities. - Demonstration of self-initiative with the ability to execute tasks with minimal supervision. Travel Up to 5% domestic and/or international travel by car or plane may be required. AZURE SPECIFIC DUTIES AND RESPONSIBILITIES Working knowledge of Data architecture and enterprise data modeling principles. Experience in designing solutions utilizing, SQL Server, Azure SQL DW and Big Data platforms (i.e. Azure Data Lake, Azure Data Factory). Knowledge of Azure SQL, and other Azure offerings centered around Data and Analytics (Azure Machine Learning, Data Lake, Data Factory, Streaming Analytics, Table Storage, Hadoop, etc.) All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability or veteran status.
3.9
Vermeer 3.9
Pella, IA
Pella, IA
1001 to 5000 employees
1,948
Company - Private
Industrial Manufacturing
Manufacturing
$1 to $2 billion (USD)
Caterpillar, John Deere, CNH Industrial
0
0
54
101
77.5
Vermeer
IA
1
72
0
0
0
0
1
Sr. Scientist, Quantitative Translational Sciences
$117K-$206K (Glassdoor est.)
Job Description Millennium Pharmaceuticals is seeking a Sr. Scientist, Quantitative Translational Sciences in Cambridge, MA with the following requirements: Master’s degree in Pharmaceutical Sciences or a related biomedical engineering field and 10 years related experience. Prior experience must include at least 6 years with each of the following: design and develop PK and PK/PD models of multilayer mechanistic drug exposure to drug response relationship in CNS therapies including circulating pharmacokinetics, brain distribution, target engagement and downstream pathway modulation, and translate the models from experimental animals to humans using NONMEM, Phoenix and Berkeley Madonna; design, plan and execute experiments to obtain the biological input data to design and implement PBPK and PK/PD modeling for absorption, tissue distribution and elimination with addressing inter-individual variability through non-linear mixed effect modeling using NONMEM, Berkeley Madonna and Simcyp; build PBPK models to quantitatively predict the risk of metabolism- and/or transporter-mediated drug-drug interactions in humans through the extrapolation of in vitro experimental findings to in vivo using Simcyp. Apply on-line at www.takedajobs.com Locations Boston, MA Worker Type Employee Worker Sub-Type Regular Time Type Full time
3.7
Takeda Pharmaceuticals 3.7
Boston, MA
OSAKA, Japan
10000+ employees
1,781
Company - Public
Biotech & Pharmaceuticals
Biotech & Pharmaceuticals
$10+ billion (USD)
Novartis, Baxter, Pfizer
0
0
117
206
161.5
Takeda Pharmaceuticals
MA
0
239
0
0
0
0
0
MED TECH/LAB SCIENTIST - LABORATORY
$21-$34 Per Hour(Glassdoor est.)
Evening: 3P-1130P or Night Shift 11P-730A Includes 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. 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: Hospital-Main Campus Shift : Flexible-hours/shifts may vary depending on department needs FTE: 1.000000 Work Status: Full Time
3.6
Beebe Healthcare 3.6
Lewes, 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
1
85
0
0
0
0
0
Sr. Data Scientist II
$111K-$183K (Glassdoor est.)
Data Scientist Before the dawn of everything internet, insurance was intimate and personal. You walked down the street to chat with your broker, and the risk to your business, your livelihood, was covered with a handshake. Today things are different. The average insurance policy for a mom-and-pop store trades through a dozen different hands and traverses a maze of systems and processes. Few are accountable and fewer know the whole story. Some of the problems you will solve entail understanding data, identifying patterns, quantifying the impact of ML / NLP models and designing data visualizations. We seek a data scientist to help drive a new digital AI product team on a mission to unlock the potential of data and identify new opportunities. As one of the founding members of a small, multi-disciplinary team of technologists, designers and product managers, you’ll have the freedom to make key product decisions without much oversight, and the tools and resources to build and ship ideas quickly. You’ll be a part of a startup-like environment, with the opportunity to have more control and leadership; in a company with thousands of existing customers. Who you are You want to use your statistical, scientific, and engineering training to craft and deploy models to transform one of the most entrenched industries. You paint with plots and your models don’t keep secrets. Image recognition is no longer an innovation to you, instead it is a routine task. NLP isn’t a foreign acronym and you’ve gone from strings to whiskers. You sail smooth in Python and always have sklearn, tensorflow, keras and pytorch on deck. K-means more than a curt text and Logit and Probit are not Hobbit characters. You have experience with relational databases such as PostgreSQL, Oracle or SQL Server, and maybe even Hadoop, Hive, Spark or Redshift. You strive to learn the newest and greatest techniques where BERT/ELMo are not just Sesame Street© characters. What you’ll own The foundation for advanced analytics at a global company. The roadmap of projects you’ll work on that tie directly to business goals and objectives. Manage the entire lifecycle of data projects from strategic planning to tactical activities (data collection, cleanup, analysis, model implementation). Sourcing new data for a firm that rarely scrapes, pulls or pushes. Facilitate communication throughout the development process between executive stakeholders, your users and technical teams. Coordinate and build strong working relations with various internal stakeholder groups, including IT, engineering, and legal. Minimum Qualifications Degree in computer science, engineering, mathematics, statistics, data science or a related technical field, or equivalent practical experience. 3 years of work experience in data science or related field. Experience with statistical modeling using R, Python, or similar statistical languages. In depth knowledge of advanced models such as generalized linear models, penalized regression models, tree based models and neural networks Proven track record building business-practical models and implementing them into production. Familiarity with Pandas, Numpy, Scikit-learn, Keras, Tensorflow, Pytorch Experience with data architecture and management (PostgreSQL, Hadoop, Oracle, Hive, Spark, Redshift and/or SQL Server) Apply on https://argogroup.wd1.myworkdayjobs.com/Argo PLEASE NOTE: At this time, Argo Group will not sponsor an applicant for employment authorization for this position. To all recruitment agencies: Unless you have been requested to work on this position, or other positions with Argo Group, please do not forward any resumes to Argo Group employees. Argo Group is not responsible for any fees related to unsolicited resumes. We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by federal, state and/or local laws. Applicants: For the most convenient application experience, please use the “Apply with LinkedIn” button. If manually entering, only include your most recent or relevant job information needed for this role. For either method, please attach your most current resume. Additional job history may be obtained if selected for the interview process.
3.4
Argo Group US 3.4
New York, NY
Hamilton, Bermuda
1001 to 5000 employees
1,948
Company - Public
Insurance Carriers
Insurance
$1 to $2 billion (USD)
-1
0
0
111
183
147
Argo Group US
NY
0
72
1
0
1
1
0
Data Scientist
$68K-$112K (Glassdoor est.)
Must Have: ? 10+ years of experience in Analytics and Data Science ? Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, ARIMA, Clustering, Text Analytics, NLP, Regression Models, Segmentations etc with interconnections to Static and Dynamic Video data ? Fair understanding of GRP / TRP inputs along with Viewership aggregation ? Experience with data science toolkits, such as R/Python Programming - (Scikit KLearn, keras etc) ? Vizualization tools like - Tableau / R shiny / Py charm ? SQL know how ? A Thorough Command on Statistics & Analytical Applications in M&E domain ? Ability to Time Frame Business Issues to Deliver Analytics Solutions ? Very Good Understanding of Analytical Processes and SOP's and its interconnectivity + Product Perspective to Deployment of Models. ? Excellent knowledge of the data validation, data preparation, data visualization for the analytical models ? Must have Delivery Experience. Soft Skills: ? Excellent written and verbal communication skills and ability to work in a team ? Outstanding analytical and problem-solving skills Excellent client presentation Job Segment: Database, Scientific, SQL, Technology, Engineering
3.5
L&T Infotech 3.5
San Ramon, CA
Mumbai, India
10000+ employees
1,997
Company - Public
IT Services
Information Technology
Unknown / Non-Applicable
Infosys, Accenture, Capgemini
0
0
68
112
90
L&T Infotech
CA
0
23
1
0
0
0
1
Information Security Data Analyst
$42K-$74K (Glassdoor est.)
PRIMARY PURPOSE: In conjunction with the Information Security team, the Information Security Data Analyst is responsible for safeguarding organizational information assets through data analysis, and development and maintenance of metrics to measure the effectiveness of the information security function. This position will produce reporting through data analysis to come up with actionable items to help Management make informed data-based decisions. ESSENTIAL DUTIES AND RESPONSIBILITIES: 1.Uses a combination of software tools, statistical analysis, critical thinking, programming and/or scripting, and web research to analyze large, complex sets of data related to Information Security data, including vulnerability and compliance scans. 2.Conducts routine and ad hoc data extraction, analysis, charting and reporting to inform data-based decision making for management. 3.Extracts information security data from multiple sources and inspects, cleans and models the data to discover useful information for the Department. 4.Identifies, analyzes, and interprets trends, patterns, and outliers in complex data. 5.Quantifies the impact and assesses the severity of data issues. 6.Proposes and assists in the development of innovative ways of presenting complex data and metrics. 7.Monitors systems and tools for malicious activity, providing appropriate correlation of threats across the entire enterprise. 8.Partners with business and functional units to create and maintain the bank’s Business Continuity, Disaster Recovery Plans, and Incident Response Plan. 9.Assists the Information Security team with implementing appropriate monitoring and testing to ensure the Bank’s information security protocols are adhered to across the organization. 10.Maintains information security documentation including procedures, processes and guidelines that are implemented to ensure the organization’s information security safety and soundness and compliance with all applicable banking regulations. 11.May assist in the creation and maintenance of information security procedures designed for business and technology units to establish and maintain a compliant, risk-focused information security platform. 12.Has understanding of security solutions such as SEIM, IPS/IDS, End Point Security, Network Security, Database Security, Firewalls, Cloud Proxy, Network Admission Control and Network Segregation to identify security risks. 13.Maintains ongoing communications with IT peers to ensure enterprise-wide understanding of information security goals, to solicit feedback and to foster co-operation. 14.In concert with the Information Security Team, ensures appropriate systems and controls exist to protect the confidentiality, integrity and availability of data residing on or transmitted to/from/through enterprise workstations, servers and other systems and in databases and other data repositories. 15.Maintains current knowledge and understanding of the information security industry including awareness of new or revised security solutions, improved security processes and the development of new attacks and threat vectors. 16.In concert with the Information Security Team, executes the deployment, integration and initial configuration of all new and enhanced information security solutions with IT partners in accordance with standard best operating practices and the enterprise’s documented information security procedures. 17.Active participant in Incident Response Plan tabletop exercises. 18.Creates/Maintains vulnerability scans, and then analyze data and integrate into reporting and dashboard creation. 19.Has input on security policies, controls and cyber incident response planning. 20.Ensures continued compliance with laws and applicable regulations. 21.Chooses and recommends security products, as necessary. 22.Assists in the coordination of electronic discovery and digital forensic investigations. JOB SPECIFICATIONS: Knowledge, Skills& Abilities •Working knowledge of information systems& technology audit processes and procedures. •Demonstrated ability to understand complex security issues. •Proven ability to successfully partner with internal clients and vendors to align strategy with deliverables, identify business challenges and develop alternatives to mitigate. •Working knowledge of SQL preferred. •Understands the IT threat landscape for banking and financial services industry. •Strong service management and service delivery orientation. •Strong written, oral, and interpersonal communication skills. •Ability to present ideas in user-friendly language to a variety of constituent audiences. •Proven ability to work within a changing environment and lead the implementation of change. •Ability to assess the impact or potential impact of change management initiatives of various sizes and degrees of complexities on business financials and performance. •Ability to effectively prioritize and execute tasks in a high-pressure environment. Experience& Education •Bachelor’s degree in related discipline or equivalent work experience required. •Minimum 4 years of progressively responsible professional experience in an information technology environment with demonstrated experience core security concepts and data analysis. •Experience implementing system solutions in a banking environment preferred. •Experience with data presentation via a dashboard preferred. •Industry recognized Infosec certifications such as CompTIA Security+, GSEC, CISSP: Certified Information Systems Security Professional, CISM: Certified Information Security Manager, strongly desired. Internal and External Contacts •Extensive external contact with equipment and service suppliers. •Internal contacts are with all department managers, senior management and directors on an ongoing basis. Working Conditions/Physical Requirements Office environment. Ability to operate computer. Ability to communicate in order to exchange simple to complex information with individuals and groups. Ability to travel throughout Bank footprint. Equal Opportunity Employer Minorities/Females/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity For Recruiting Agencies OceanFirst Bank does not accept agency resumes submitted by third-party vendors unless a valid agreement has been signed and the OceanFirst Bank Talent Acquisition Team has granted authorization for submissions regarding a specified position. Please do not forward resumes to us, OceanFirst Bank employees or any other company location. OceanFirst Bank is not responsible for any fees related to unsolicited resumes.
4.3
OceanFirst Financial 4.3
Red Bank, NJ
Toms River, NJ
501 to 1000 employees
1,902
Company - Public
Banks & Credit Unions
Finance
$5 to $10 billion (USD)
-1
0
0
42
74
58
OceanFirst Financial
NJ
0
118
0
0
0
1
0
Excel / VBA / SQL Data Analyst
$44K-$78K (Glassdoor est.)
Excel / VBA / SQL Data Analyst Location: Headquarters Address: Springfield, MO Job Type: Full-Time AECI’s Springfield Headquarters is seeking candidates for an Associate Quantitative Analyst. Quantitative analytics is a new and expanding function among our portfolio management teams, dedicated to supporting portfolio modeling, financial forecasting, and term trading, hedging, and contracting in the areas of wholesale power supply, natural gas, coal, rail and renewables. Responsibilities include applying production cost modeling techniques, financial mathematics, and developing statistical pricing models to support commercial functions to optimize AECI’s power generators, contracts, and positions to enhance margins and mitigate financial risk. What are we looking for? · Bachelor’s Degree in a quantitative field such as mathematics, engineering, physics, finance, or 2+ years of experience in data analytics with heavy use of advanced Excel modeling (Master’s Degree and 5+ years of experience preferred) · Advanced Excel skills with VBA programming, math/statistical packages and data management techniques including manipulation of large datasets · Strong knowledge of SQL queries or Access database development · Experience with data modeling and forecasting techniques · Willingness to quickly learn and conform to current practices to utilize existing Excel/SQL processes · Ability to efficiently research coding and applied math approaches to speed new development · Effective technical writing and oral communication skills · Experience applying statistical modeling to solve business problems · Ability to perform at sustained high energy and performance level and generate innovative and creative ideas/concepts AECI provides a competitive total compensation package including paid health care and dental premiums starting on day one with vision plans available. Basic life, short-term disability and long-term disability are paid for by AECI as well as a 401k with an employer match. Invest in yourself with our tuition reimbursement and enjoy time away with Paid Time Off (PTO) and paid holidays. Wellness incentives and employee assistance programs are also available. Come join a team where your talents are appreciated, your voice is heard, and your work has an impact! To apply for a position, please visit www.aeci.org/careers and complete your profile. You will be able to upload additional applicant documents (i.e. resume, cover letter) and apply for a position. AECI is fully committed to the concept and practice of equal opportunity and affirmative action in all aspects of employment. Please reference the contact information above if you require assistance in filling out an application. Individuals with disabilities should request reasonable accommodations in accordance with the Americans with Disabilities Act prior to an appointment.
4.1
Associated Electric Cooperative 4.1
Springfield, MO
Springfield, MO
501 to 1000 employees
1,961
Company - Private
Energy
Oil, Gas, Energy & Utilities
$1 to $2 billion (USD)
-1
0
0
44
78
61
Associated Electric Cooperative
MO
1
59
0
0
0
0
1
Machine Learning Research Scientist
$81K-$159K (Glassdoor est.)
Machine Learning researchers at the SEI help our government and industry clients solve their problems using ML technology. In this role, you will work with our customers to identify areas where advanced statistical techniques can help tackle problems, plan and develop prototype solutions, and build out final products. You'll get a chance to work with elite cybersecurity professionals and university faculty to build new technologies that will influence national cybersecurity strategy for decades to come. You will co-author research proposals, execute studies, and present findings to DoD sponsors and at academic conferences. Our team works on a wide range of projects. Some of our current work includes developing metrics and experimental designs for large-scale cybersecurity research programs, researching human-in-the-loop machine learning, and building classifiers to identify security vulnerabilities in code. We have access to a wide variety of cyber-related data, including malware samples, netflow data, cybersecurity training runs and tests, incident tickets, and more. If you are a computer science or statistics expert with an interest in cybersecurity, we want to hear from you! Requirements: BS in machine learning, cybersecurity, statistics, or related discipline with eight (8) years of experience or equivalent combination of training or experience; or MS in machine learning, cybersecurity, statistics, or related discipline with five (5) years of experience; or PhD in machine learning, cybersecurity, statistics, or related discipline with two (2) years of experience. Willingness to travel to various locations to support the SEI’s overall mission. You will be subject to a background check and will need to obtain and maintain a Department of Defense security clearance. Knowledge, Skills and Abilities: Deep understanding of statistical modeling techniques Comfortable working in the Unix command line Thrives in a multi-disciplinary environment Superb communication skills Expertise implementing machine learning techniques (e.g., K-means, SVM, neural networks) Familiar with at least one mathematical/statistical programming package (e.g., python numpy/scipy/pandas, R, MATLAB, etc.) Strong software engineering skills You should have cybersecurity or privacy experience Desired Experience: Experience with specific methods and/or evidence that you can learn. Experience supporting test and evaluation for large-scale government research programs is a plus 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
159
120
Software Engineering Institute
PA
1
36
1
0
0
0
0
Data Scientist
$95K-$161K (Glassdoor est.)
Overview At Sotheby’s we use data science to unravel the secrets of art and luxury commerce space. This enables us to efficiently scale the marketplace business for our clients. In this role, you will utilize a unique set of data to model rich dynamics critical for business functions. You will work in a team of data engineers, machine learning engineers, infrastructure engineers, and product managers to build and deliver data science products that unlock supply and predict demand in the Sotheby’s marketplace. Responsibilities What you'll do: * Work on the end-to-end data science pipeline: from data collection and cleaning, to experimenting with predictive models, to deployment of the results * Perform exploratory data analysis and write data pipelines to improve data quality for downstream tasks * Train models to understand and predict price dynamics of artworks and other luxury commerce categories * Build recommender systems for artworks and other luxury commerce categories, to deliver a personalized experience to clients * Develop off-line evaluation metrics and craft real-world tests to measure model’s efficacy * Build production data pipelines and services on Google Cloud Platform to deploy data science products * Collaborate closely with data engineers, machine learning engineers, infrastructure engineers * Work from our office in New York City, and contribute to the product vision for reshaping a 300-year old industry through automation and data science Qualifications Who you are: * M.S. in CS, EE, Stats or other quantitative field * Strong understanding of statistics and machine learning * Experience working with and designing machine learning/deep learning models, and a documented history of code or research accomplishments * Highly proficient in at least one of the following programming languages for data engineering and data science: Python, C++, or Java. (Experience in Python preferred) * Friendly, hard-working, collaborative, and able to multitask are musts in our lean team
3.6
Sotheby's 3.6
New York, NY
New York, NY
1001 to 5000 employees
1,744
Company - Public
Auctions & Galleries
Retail
$500 million to $1 billion (USD)
-1
0
0
95
161
128
Sotheby's
NY
1
276
1
0
0
0
0
Data Scientist
$75K-$124K (Glassdoor est.)
As the Enterprise Data and Analytics Center of Excellence, we empower First Tech business leaders to drive differentiating member experiences and business value by leveraging information and insights. Key responsibilities of the Advanced Analytics Data Scientist include interfacing with all business stake holders to formulate the right business questions, address them with scientific rigor, design, implement, test, productize, monitor and document data science assets effectively, evangelize data science to the organization and contribute to rendering First Tech data-driven. Here's what you can expect from the job and what you need to be successful: Job Duties Accelerate stakeholder and First Tech business growth and success with meaningful insights gained via advanced analytics models and solutions targeted to answer the most important business questions Consult stakeholders about how advanced analytics and a data-driven approach can help them achieve greater success in driving their business units. Evangelize data science and the mission of the Advanced Analytics team. Generate and effectively communicate the stories data tell us for each Advanced Analytics initiative Work with cross-functional team members to identify use cases, formulate the right questions, suggest scientifically sound ways to address them and prioritize actionable, high-impact insights across a variety of core business areas Develop end-to-end from data acquisition to production, data pipelines and predictive/prescriptive models on large-scale data sets (structured and unstructured) to address various business problems; develop deep-dive analysis and machine learning models to drive member value and partner success Research, design, implement and validate cutting-edge algorithms/models to analyze diverse sources of data to achieve targeted outcomes Deliver informative and effective findings, results and recommendations from statistical analysis to stakeholders (able to articulate the findings clearly to both technical and non-technical audiences) Initiate and drive projects to completion independently, including helping stakeholders to integrate advanced analytics assets into their operational processes Recommend ongoing improvements / tuning to methods and algorithms currently in use/production Work with a team of analysts and cross-functional business teams to provide expertise on mathematical concepts that are leveraged across the breadth of our solutions for the entire organization Provide technical guidance and mentorship to junior team members on analytics and analysis best practices, solution design as well as lead code/design reviews Process, cleanse, and verify the integrity of data used for analysis Essential Skills 3+ years' experience in Analytics/Data Science working with large amounts of data Ability to analyze a problem, formulate and communicate the right questions and suggest reasonable and effective ways to address them Expert command of the English language, persuasive written and verbal communication and an ability to effectively tell stories with data Proficiency in the use of scripting languages (R, Python) and libraries/packages (pandas, numpy, scipy, scikit-learn, XGBoost, PySpark, sparkR, sparklyR etc.) Experience with AWS, Git, Docker or Kubernetes is preferred Experience with SQL/Relational databases. Experience with Dataiku is preferred Strong experience in data mining, NLP, predictive and prescriptive analytics approaches Deep understanding of machine learning (ML) techniques include clustering, classification, regression, decision trees, neural nets (MXnet, Tensorflow, Keras etc.), support vector machines, genetic algorithms, anomaly detection, association rules, sequential pattern discovery, and text mining Experience with data visualization tools (Tableau preferred) Strong analytical and problem solving skills. Ability to translate business objectives into actionable analyses Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses and action-oriented outcomes A focus on delivering business results including improved end-to-end customer experience and financial metrics. Able to function effectively in multi-disciplinary teams that include business and technical contributors Location: Hillsboro, OR 97134 First Tech is not currently offering Visa sponsorship for this position
3.5
First Tech Federal Credit Union 3.5
Hillsboro, OR
San Jose, CA
1001 to 5000 employees
1,952
Company - Private
Banks & Credit Unions
Finance
$100 to $500 million (USD)
-1
0
0
75
124
99.5
First Tech Federal Credit Union
OR
0
68
1
0
1
1
1
Data Scientist
$72K-$120K (Glassdoor est.)
Preferred Qualifications Masters degree or doctorate in statistics or another applied science field or equivalent experience Considerable experience with statistical tools and packages (e.g., SAS, SPSS, Minitab, R) and methods to incorporate statistical results into analyses Proficiency in at least one programming language, such as Python, Java or C/C++ Strong knowledge of statistical methods, particularly in the areas of modeling and business analytics Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources Ability to communicate complex quantitative analysis in a clear, precise and actionable manner Experience with modeling and forecasting Working knowledge of standard querying with SQL Advanced hands-on experience with the Microsoft Office suite Proven track record as a lead resource for the business Strong written and verbal communication skills Job Summary The Data Scientist works with business owners and Technology teams to provide deep analysis and guidance on crucial business opportunities across many areas within the company. They draw upon their knowledge and experience in applied statistics, data mining, modeling and forecasting to ensure that results are accurate and clear, providing actionable opportunities for business leaders. The Data Scientist must be detail-oriented and highly aware of the impact of their analysis and solutions across the company. They take initiative and focus on finding innovative solutions for a myriad of business challenges. Responsibilities Work closely with various teams across the company to identify and solve business challenges utilizing large structured, semi-structured and unstructured data Drive the collection of new data and the refinement of existing data sources for deep statistical analysis and modeling Clean data in preparation for analysis and modeling Perform statistical summaries and tests for relevant business questions Develop predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis and other modeling techniques Translate business opportunities into data-driven machine learning and modeling solutions that revamp the business process Deploy applicable models into production system for business use Perform statistical testing to enhance the predictability of deployed models Summarize conclusions and solutions for presentation Develop strong relationships with subject matter experts Develop best practices for experimentation Who We Are Amrock is one of the largest providers of title insurance, property valuations and settlement services in the nation. The company is an authorized agent of the highest-rated title insurers in the industry, and its solutions power many of the nation's largest residential lending institutions. Amrock is a preferred provider to five of the top 20 Fortune 100 companies and many of the largest residential mortgage lenders. The company is based in Detroit and retains regional operating centers in Ohio, California, Pennsylvania and Texas. Disclaimer This is an outline of the primary responsibilities of this position. As with everything in life, things change. The tasks and responsibilities can be changed, added to, removed, amended, deleted and modified at any time by the leadership group.
3.6
Amrock 3.6
Detroit, MI
Detroit, MI
1001 to 5000 employees
1,997
Company - Private
Real Estate
Real Estate
$500 million to $1 billion (USD)
-1
0
0
72
120
96
Amrock
MI
1
23
1
0
0
0
0
Data Scientist
$76K-$126K (Glassdoor est.)
Roles and responsibilities include the following: Improve business/scientific decisions across both a broad range of Key Performance Indicators and functions Supports multiple, high impact data research and analysis projects Leverage data / big data to discover patterns and solve strategic analytic business problems using both structured and unstructured data sets across many environments Develop analytic capabilities that drive better outcomes for both customers and the company Successful candidates will have the following background/experience: Advanced degree in computer science, mathematics, management science, engineering, operations research, statistics, or related (Master's degree required, MD or PhD preferred) 2+ years' experience in data science, advanced analytics, and model building Experience with statistical analysis methods Excellent visualization experience utilizing either Spotfire / Tableau / Clickview and/or custom built solutions Experience with big data manipulation and analysis using varying frameworks/tools: SQL, Python, R, SAS Strong written and verbal communications skills; comfortable communicating with senior levels of both business and technology leadership Experience driving large analytic projects and programs to completion Strong practical knowledge of analytical techniques and methodologies such as machine learning/supervised and unsupervised techniques, segmentation, mix and time series modeling, response modeling, lift modeling, experimental design, neural networks, data mining, Bayesian inference, and optimization techniques Good organizational and communication skills, the ability to work in a collaborative environment, and a desire to improve skills are essential
2.3
Vanda Pharmaceuticals 2.3
Washington, DC
Washington, DC
201 to 500 employees
2,003
Company - Public
Biotech & Pharmaceuticals
Biotech & Pharmaceuticals
$100 to $500 million (USD)
-1
0
0
76
126
101
Vanda Pharmaceuticals
DC
1
17
1
0
0
0
1
Senior Data Scientist
$114K-$182K (Glassdoor est.)
Data Scientist's at Zest AI use the power of machine learning to build models and optimize software tools that our customers depend on in order to meet the financial needs of people around the world. By leveraging a combination of machine learning and vast amounts of data points, we seek to challenge the traditional credit scoring model, while expanding our proprietary AI-explainability technology across the fin-tech industry. In this role you will: 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 Design and implement highly generalizable models for predicting various outcomes Take responsibility for modeling implementation in real world settings to solve real world problems Mentor junior team members in modeling artistry We are looking for: Masters Degree in a quantitative discipline; PhD degrees preferred Expert experience designing, developing, and implementing machine learning models/algorithms Successful Kaggle competition experience is encouraged Extensive programming experience in R or Python and an interest in learning new languages and technologies Knowledge of data structures and parallelization 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
114
182
148
Zest AI
CA
1
11
1
0
0
0
0
Data Scientist, Senior
$108K-$176K (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 is seeking a Data Scientist (Senior)) in the role of the Maritime Safety Office.This position is to provide both digital and hardcopy maritime products, services, and data to support worldwide Safety of Navigation. Without accurate and up-to-date nautical products, military platforms are at increased risk when they conduct operations, transport personnel and deliver material. The U.S. Navy has made it clear to NGA that it will continue to require both digital and hard copy maritime products for the foreseeable future. Services procured under this contract will primarily support the production and maintenance of Maritime GEOINT at NCE facilities. Responsibilities include: Strong data management skills, including SQL, NoSQL (MongoDB), and triplestore/graph databases Experience createing and managing ETL processes using Ni-Fi or similar software using both structured and unstructured data AWS experience, particularly with EC2, S3, Cloudwatch, RDS Experience with data visualization tools Experience with or working knowledge of ElasticSearch or similar Perform ad-hoc analysis and present results in a clear manner Conduct undirected research and frame open-ended industry / customer questions Recommend cost-effective changes to existing procedures and strategies Create / maintain tools to extract features from a variety of sources including raster to vector, vector to vector, text to vector, and text to database. Write / maintain Python Scripts in ARCGIS to improve efficiency of the production process. Support Business Processing Re-Engineering Perform Data Conversion/migration Perform Business Analytics Work with the Government on new production capabilities / services Strong data management skills, including SQL, NoSQL (MongoDB), and RDF (triplestore/graph) databases Linux experience Basic Qualifications: Strong data management skills, including SQL, NoSQL (MongoDB), and triplestore/graph databases Experience createing and managing ETL processes using Ni-Fi or similar software using both structured and unstructured data AWS experience, particularly with EC2, S3, Cloudwatch, RDS Experience with data visualization tools Experience with or working knowledge of ElasticSearch or similar Perform ad-hoc analysis and present results in a clear manner Desired Skills: Experience with combining digital cartography, computer technology, GIS, cartographic and geospatial production techniques, remote sensing, photogrammetry, and digital data formats. Ability to clean / prune data to discard irrelevant information Ability to examine data from a variety of angles to determine hidden value, weaknesses, trends, and / or opportunities Advanced knowledge of ESRI ArcGIS and ArcServer. 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
Fort Belvoir, 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
108
176
142
Novetta
VA
0
8
1
0
0
1
0
Senior Data Scientist
$130K-$208K (Glassdoor est.)
CK-12’s mission is to provide free access to open-source content and technology tools that empower students as well as teachers to enhance and experiment with different learning styles, resources, levels of competence, and circumstances. To achieve this noble and ambitious vision, we at CK-12 are challenging the traditional model of education to transform it dramatically. Technology has opened up lots of opportunities to revolutionize education for the benefit of students, teachers, and parents. We have chosen to be non-profit so that we can effectively realize our mission and so that we can do the right thing! It also provides us the ability to experiment with big and bold ideas. CK-12 is backed by Vinod Khosla, a renowned technology venture capitalist. At CK-12, you’ll experience the benefits of working in a dynamic, entrepreneurial, innovative and non-bureaucratic environment where you will get a lot of cool things done than you ever imagined! We are a small group of passionate folks who are determined to disrupt the current form of education. We came together from companies such as Apple, eBay, Amazon, McGraw-Hill, and startups. Technology is key to scale education and we deeply believe in it. Come develop great solutions on our cloud-based (AWS) AI-first platform delivering rich and interactive content. Does our mission, people and technologies excite you? If the answer is YES! and you are a great technologist who will challenge status-quo (no order takers please!) by innovating, please come join us! Together, we will change the world! CORE RESPONSIBILITIES Extract and Analyse the large volume of data deeply to understand and deduce a wide range of information about our users Transform these insights into actionable reports (~50% of your time would be involved in this activity) Anticipate user’s needs based on their past actions, collaborative filters and other data analytics techniques to create highly engaging experiences that increase usage (for new and repeat users) of CK-12 and at the same time increase learning outcomes for our users Communicate data insights to the team and recommend concrete actions and inferences to the team Provide technical expertise in statistical analysis, mathematical modeling, data mining/machine learning Institutionalize user analytics in processes and decision making, both strategic and tactical that will drive to achieve CK-12 mission Develop a sound understanding of the Education and Ed Tech market, competitive landscape, industry-wide data, and benchmarks, and create yardstick/milestones for the organization to set or beat Analytics is part of our DNA and whatever features we build (or the ones that are live currently) capture enough meaningful analytics for future data mining Develop a strong understanding of K-12 content, pedagogies, student learning habits to analyze and inform about content and product effectiveness Develop a strong understanding of teacher and student needs, desires and workflows to inform data analytics and analysis Have fun while driving innovation through data by challenging the status quo in education and learning and providing creative data-based solutions REQUIREMENTS 5+ years of experience as a Data Scientist Proficiency in SQL or NoSQL and handling large and messy datasets Proficiency in data visualization software and/or libraries (e.g. Tableau, Periscope, matplotlib, etc) Proficiency in Pandas, SAS, R, Matlab or other analytics/data mining package Experience with mathematical, statistical, and scientific modeling skills Experience in segmentation building, predictive analytics, and statistical modeling Adept at problem-solving using both textbook methods and novel viewpoints Able to work in tandem with business partners and engineering to formulate and solve tractable projects Able to translate high-level directions into practical projects and lead/drive their completion with minimal supervision Be a data enthusiast and a data skeptic; we need both. Excellent interpersonal, written, and verbal communication skills Bachelor’s or Master’s degree in Computer Science or quantitative discipline Able to look outside the organization for new datasets and formulate best practices and metrics to showcase CK-12 capabilities ADDITIONAL DESIRED SKILLS Experience with NoSQL platforms, especially MongoDB (a huge plus) Experience with data engineering (Map Reduce platforms, data pipelining, etc) Experience at EdTech company or K-12 Educational landscape HOW TO APPLY Submit your resume to ml@ck12.org with “Senior Data Scientist” in the subject line. It is a full-time position at our office in Palo Alto, CA (no telecommuting) The applicant must be authorized to work in the US for any employer
4.1
CK-12 Foundation 4.1
Palo Alto, CA
Palo Alto, CA
1 to 50 employees
2,007
Company - Private
K-12 Education
Education
Unknown / Non-Applicable
-1
0
0
130
208
169
CK-12 Foundation
CA
1
13
0
0
0
1
1
VP, Data Science
$83K-$166K (Glassdoor est.)
Oversee a team of Data Scientists with overall responsibilities to analyze vast amounts of raw data to find patterns and build models that will help improve profitability, our customers’ experience, improve processes, and mitigate risks. Utilize your skills as an experienced Data Scientist to extract valuable business insights, and make real-time predictions to improve the profitability of our business or how our business operates. Collaborate with business domain subject matter experts in various departments to understand the problem and the objectives. Identify valuable data sources, and work with our IT team to collect such data. Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Research and devise innovative statistical models for data analysis Build predictive models, neural networks, and machine-learning algorithms Combined models through ensemble modeling Present information using data visualization techniques Propose data science solutions and strategies to business problems Ensure solutions are feasible to implement and achieve the objectives. Manage a team of more junior data scientists working on various potentially unrelated problems. BS in Computer Science, Engineering, Applied Math or related discipline; graduate degree in Data Science or other quantitative field is desirable Proven experience as a Data Scientist Minimum 5 years of experience in data mining, machine learning, neural networks or other data science technique Strong proficiency with R, SQL, and Python including the Tensorflow, Keras, and XGBoost libraries. Experience with Excel and PowerPoint Strong quantitative, math, and problem solving skills Excellent communication and presentation skills Strong business acumen and ability to interface effectively with executive management Curious and creative mind that seeks continuous improvement
3.2
PennyMac 3.2
Phoenix, AZ
Westlake Village, CA
1001 to 5000 employees
2,008
Company - Public
Lending
Finance
$500 million to $1 billion (USD)
Nationstar Mortgage, Caliber Funding, Quicken Loans
0
0
83
166
124.5
PennyMac
AZ
0
12
1
0
0
0
1
Radar Data Analyst
$42K-$76K (Glassdoor est.)
Decisive Analytics Corporation has an opening in Huntsville, Alabama, for a Radar Data Analyst to provide technical services in support of the Ronald Reagan Ballistic Missile Defense Test Site. Kwajalein Atoll is home to the Reagan Test Site (RTS), where some of the most sophisticated missile testing in the world is conducted by the US. RTS operates and maintains a technologically advanced suite of sensors including radars, optics and telemetry sites around the Atoll that are used to collect mission-critical test data on various missile systems being tested there. The successful applicant’s primary job responsibilities will include flight test planning to ensure RTS customer objectives are met, as well as flight test sensor data analysis to assess the performance of both the missile system and the RTS sensor systems during the test. Apply engineering principles and scientific investigative techniques to support planning, analysis, assessment, and reporting on flight tests. Participate in meetings and test events, which may include overseas travel, and document complete and accurate observations noted in test events. Perform analysis of test events to support performance assessments of the system under test, and prepare briefings and reports summarizing analysis and assessments. Work autonomously as well as a member of a team of engineers and scientists to investigate complex system and or sensor behavior, and produce complete technical products. Assess complex systems through synthesis of analytical results and expert judgment, review technical documentation, conduct analytical studies and prepare technical reports on research findings. Required: Active DoD Secret Clearance Bachelor’s degree in one of the following disciplines: engineering, mathematics, physical sciences, or computer science. Excellent written and oral communication skills and be proficient with office automation tools High-level programming languages (MatLab, C, C++, Python) Highly Desired: Familiarity with: RTS sensors and command & control, including instrumentation class radars, optical sensors, telemetry sensors, communications and the command & control software, AF and Missile Defense Agency (MDA) flight testing Desired: Software design & maintenance experience Radar Analysis Radio Frequency (RF) signature modeling and analysis (Xpatch, SAF, Periodic Method of Moments, ANSYS/HFSS, Cicero, etc.) Experience in one or more of the following areas: conducting complex analytical studies, developing or adapting analysis tools to suit needs, building reusable, well documented MATLAB utilities, assessing the suitability, effectiveness, survivability, and interoperability of complex military systems, evaluating threat intelligence information as it pertains to system performance Keywords: Data science, MatLab, Python, C++, RF Modeling, Radar Analysis, Software Development All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status or disability. VEVRAA Federal Contractor
4.7
DECISIVE ANALYTICS Corporation 4.7
Huntsville, AL
Arlington, VA
51 to 200 employees
1,996
Company - Private
Aerospace & Defense
Aerospace & Defense
$25 to $50 million (USD)
Torch Technologies, American Systems
0
0
42
76
59
DECISIVE ANALYTICS Corporation
AL
0
24
1
0
0
0
1
CONSULTANT– DATA ANALYTICS GROUP
$37K-$68K (Glassdoor est.)
CONSULTANT– DATA ANALYTICS GROUP Opinion Dynamics advances knowledge to address emerging energy and social issues through sound and insightful research. Our inter-disciplinary team of consultants provides actionable research to support the needs of our clients, which include electric and gas utilities, regulators, and stakeholders. Our research and consulting services inform program planning and design, performance assessment, and optimization of energy efficiency, demand response, and renewable energy programs. Our company fosters innovative thought, collegiality and growth opportunities for our employees. The Data Science Group within Opinion Dynamics is especially focused on technical, quantitative aspects of our analysis services. Responsibilities What we’re looking for: Opinion Dynamics seeks a new team member to join our Data Analytics group to solve complex data management questions in support of energy policy evaluations. Our ideal candidate enjoys data mining and data munging, is a problem solver, and is excited to work with a multidisciplinary team of data scientists, statisticians, data analysts, and programmers. Qualifications What you’ll need: Minimum Bachelor’s degree in quantitative social science, statistics, political science, economics, computer science and data management or related field Two or more years’ work experience in data management, ideally developing and maintaining databases, data ingestion, cleaning, summarizing, aggregation and manipulation Strong programming skills in one or more programming languages (R, Python, Java, SQL, go, Scala, etc.) Experience importing, cleaning and manipulating large datasets (500,000+ records) using one or more statistical packages (R, Python, STATA) and identifying, summarizing and effectively correcting data inconsistencies, as well as clearly documenting and communicating data exploration and cleaning decisions while assessing their effect on resulting data structures and possible analyses Experience conducting econometric modeling or statistical regression analysis Demonstrated track-record of thinking critically about your work and clearly communicating with other project staff and managers about your work Demonstrated interest in the energy field, energy policy, or building science Ability to juggle and prioritize multiple tasks and deadlines simultaneously and flexibly Two or more years’ work experience in data analysis, ideally evaluating energy efficiency programs and/or performing other forms of longitudinal data analysis, OR higher educational attainment with relevant coursework Beneficial: Experience analyzing IoT data Strong statistical analysis and modeling skills preferably using R or Python Experience with model validation techniques Experience with machine learning methods Demonstrated aptitude with data visualization tools and techniques Experience working with diverse set of teams supporting data needs How To Apply: To be considered for this position, please submit your cover letter (required) and resume with “Data Analytics Consultant” in the subject line. If contacted, please be prepared to provide data analysis and writing samples that clearly demonstrate your experience and aptitude in the areas outlined above, as well as two or more references who can speak to your experience, work orientation, and work ethic. To be considered for this position, please send your cover letter and resume to: Careers: Consultant- Data Analytics Group careersCA@opiniondynamics.com Please submit a cover letter and resume to CareersCA@opiniondynamics.com. No phone calls, please. Only those resumes accompanied by a cover letter will be considered. Opinion Dynamics will not provide sponsorship for work authorization for this position. Opinion Dynamics is an affirmative action-equal opportunity employer.
4.2
Opinion Dynamics 4.2
San Diego, CA
Waltham, MA
51 to 200 employees
1,987
Company - Private
Consulting
Business Services
$10 to $25 million (USD)
-1
0
0
37
68
52.5
Opinion Dynamics
CA
0
33
1
0
0
0
0
Data Engineer
$52K-$99K (Glassdoor est.)
Now Hiring a Data Engineer As a Data Engineer, you will use cutting edge cloud and data technologies to power the mission of our clients and have the ability to join our team of Data and Cloud professionals and accomplish what others only dream of. Must have the ability to commute to Houston, Texas. Ability to apply your skills in Azure Cognitive Services, Azure PaaS, data science, data analytics, and data warehousing to pioneer Azure cloud and data services within the DoD, bringing Azure Big Data services to IL4 & IL5. Work in a team using cutting edge technologies to solve challenging business problems and build solutions Interact directly with our client(s) to understand their needs and meet, or exceed their expectations by meeting delivery deadlines Work in an agile environment with participation in daily stand-ups/scrum Design, write, test, troubleshoot, and document application code Provide mentorship to junior Developers Learn new technologies and be aware of industry standards, best practices, and trends. Profile of Success Bachelor's degree in a related field and six years of experience Deep knowledge of data ingestion strategies and understanding of the V-dimensions of data (velocity, volume, variety, veracity) Extensive experience with the Azure storage technologies (Azure Data Lake, Azure SQL Data Warehouse, Azure SQL Database) Extensive experience with Azure data movement and transformation capabilities (Azure Data Factory, Data Lake Analytics, Data Bricks, Stream Analytics) Proven experience developing Big Data solutions in the Azure space SQL Server 2014+ experience. Comfortable with Microsoft SQL data technologies (SSAS/SSIS/SSRS) Proven ability to work with clients to understand requirements and envision data ingestion solutions Possess DoD Directive 8140 security certification Desirable Skills Microsoft related certifications such as the MCSD/MCSE Experience with Hadoop-based technologies (HDInsight, Spark, Hive, Pig, Scala, etc.) Experience with visualization tools such as Power BI or Tableau
4.6
Applied Information Sciences 4.6
Houston, TX
Reston, VA
501 to 1000 employees
1,982
Company - Private
IT Services
Information Technology
$50 to $100 million (USD)
-1
0
0
52
99
75.5
Applied Information Sciences
TX
0
38
0
0
1
0
0
Senior Data Scientist
$105K-$173K (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 Independently lead and deliver analytics projects while guiding and supervising other analytics specialists 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) 5+ 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 Experience in leading project teams and engaging with senior leaders as well as clients 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
105
173
139
Swiss Re
NY
0
157
1
0
0
0
1
Data Engineer, Data Engineering and Artifical Intelligence
$71K-$134K (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 a Data Engineer in our Cambridge, MA office. 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. As a Data Engineer working on the Data Engineering and AI team, a typical day will include: POSITION OBJECTIVES: Leads complex data analysis, uses and explores data, languages, tools and software to best construct data for predictive modelling, tests the model, trains data to deploy the modelling within a complex R&D, Medical, Mathematical environment and a large complexity of IT systems and data. Manages and develops technical existing and new computer science platforms to design, to analyze and implement complex and new data driven solutions, with an impact on the IT Structure and Architecture. Interprets and develops advance techniques in partly structured and unstructured big data across different partner organizations. POSITION ACCOUNTABILITIES: As a Data Engineer, you will be tasked with creating an ecosystem to have the right data, to ask the right question, at the right time. Apply advanced techniques to complex problems in R&D and other organizations. Work directly with the Data Science in R&D at Takeda along with other advanced analytics organizations across the company. Apply advance techniques in structured, partly structured and unstructured data across different partner organizations. Implement solutions for both big data and difficult to structure data sets. Maintain up-to-data knowledge on modern data technologies, explores new platforms and beta tooling. Independently use own judgement to identify data requirements and influences the design. Influence new computer science platforms to design, analyze and implement complex and new data driven solutions that impact the company. Provide leadership to complex data analysis, uses and explores data, languages, tools and software to best construct data for predictive modeling, tests the model, trains data to deploy the modeling within a complex R&D, Medical, Mathematical environment and a large complexity of IT systems and data. EDUCATION, BEHAVIORAL COMPETENCIES AND SKILLS: Required: Bachelor’s Degree in Computer Science or equivalent 2+ years’ experience or relevant project / coursework Up-to-date specialized knowledge of data wrangling, manipulation and management of technologies to affect change across business units. Ability to manipulate voluminous data with different degree of structuring across disparate sources to build and communicate actionable insights for internal or external parties. Possesses strong communication skills to portray information Ability to work in an agile environment with high quality deliverables Experience with two of the following languages: Java, Scala, or Python Understanding of Web Services as well as JSON formats Working knowledge of SQL and Relational Databases Experience with at least one NoSQL datastore (Cassandra, MongoDB, Neo4J, …) Experience with concepts of Hadoop and Spark Preferred: Additional Languages: Chef, R, Javascript Experience with Multiple NoSQL datastores (Cassandra, MongoDB, Neo4J, …) Experience with data formats including Parquet, ORC or AVRO Understanding of AWS (S3, EC2, Redshift, EMR, Athena) Experience with a Rapid UI tools: EX: Tableau 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
71
134
102.5
Takeda Pharmaceuticals
MA
0
239
1
0
1
1
1
Staff Scientist
$39K-$82K (Glassdoor est.)
Position Description A staff scientist serves as a technical resource for the organization, providing high-level of consultation, proficient technical documentation and support within areas of expertise. This position will perform environmental studies and natural resource assessments, conduct field investigations, analyze data collected by others and prepare technical reports. This position will also prepare plans in ArcMap, AutoCad or other appropriate software applications and assist in development of project design parameters. Requirements Bachelor's degree in environmental science or related field Minimum of 4-5 years previous experience Licensure preferred Strong computer skills including ArcMap, CAD and/or Microstation. Analytical skills with ability to prepare statistical reports Ability to communicate ideas and technical information to staff, management and clients in a professional manner Travel as necessary to meet the needs of the position Benefits Free medical and dental coverage with qualifying wellness credits Flex-time policy (half-day Fridays) Matching 401K program Life and disability insurance Paid Time Off /Paid Holidays Continuing education/tuition reimbursement Professional registration reimbursement Performance-based incentives/bonuses Relocation assistance About Us WK Dickson is a multi-disciplined consulting firm specializing in total community infrastructure solutions, including airport planning and design, environmental and water resources engineering, community planning and site development, energy support services, and geospatial technology. Our goal is to help communities improve the lives of its citizens through sound, ecologically responsible design principals. The firm has been headquartered in Charlotte, North Carolina since its founding in 1929 and has steadily grown to operate eleven regional offices strategically located throughout the Southeastern United States.
4.4
WK Dickson 4.4
Columbia, SC
Charlotte, NC
201 to 500 employees
1,929
Company - Private
Architectural & Engineering Services
Business Services
$25 to $50 million (USD)
McKim and Creed, CDM Smith, Kimley-Horn
0
0
39
82
60.5
WK Dickson
SC
0
91
0
0
0
0
0
PL Actuarial-Lead Data Scientist
$114K-$179K (Glassdoor est.)
Monday, October 21, 2019 Our PL Data Science and Actuarial department is seeking a Lead Data Scientist to join our growing team in our Worcester, MA or Windsor, CT offices. Position summary: This position combines advanced and creative technical knowledge with sound business acumen and judgment, based on solid experience with a range of business decisions to maximize profit and growth in a highly competitive marketplace. Demonstrates advanced statistical analysis skill, data mining, actuarial and/or research techniques combined with an intermediate level of understanding of Machine Learning techniques and a broader awareness of the business, general enterprise analytics, and the research community, to function in a collaborative and consultative role. Leads discussions with executives and management regarding the interpretation of research and its business inferences. Research undertaken has a potentially sizable dollar impact on pricing, marketing, finance, and risk management. May direct multiple complex research projects simultaneously as well as aspects of large and complex initiatives. May mentor more junior staff and direct their efforts. This is a Full-time, Exempt role. Responsibilities/Essential Functions: Data Management and Pre-Modeling: • Develops best practices around extracting, analyzing, merging and constructing databases. • Seeks new databases, including evaluation and acquisition of external data, software, and other tools in support of key strategic initiatives. • Consults on management information aspects of technology initiatives. • Identifies the appropriate data for analysis, anticipates integrity issues and other possible roadblocks, and understands potential future uses of data beyond the task at hand. • Directs, performs and interprets appropriate exploratory analysis such as data mining, empirical data analysis, univariate analysis, partitioning analysis etc. Modeling Design & Monitoring: • Provides roadmap to design models using available data, tools and programming languages, supports the implementation in a real-world framework, and establishes monitoring processes to ensure optimal predictive performance over time. • Shares new ideas on advanced analytical techniques and their application to the business. Project Management: • Provides and/or independently gathers requirements from appropriate business partners for project, including necessary data for analysis to be performed. • Guides implementation of models in real-world framework. • Develops and manages preliminary project plans, ensures optimal and effective execution on deliverables within agreed upon timeframes, monitors program milestones and critical dates to identify potential jeopardy of project schedules, identifies ways to remove obstacles, communicates progress and makes recommendations to address issues, and manages any effects on related projects. Position Requirements: • Requires Master's Degree in Physics or Computer Science plus 5 years of statistical predictive modeling experience, including insurance-specific predictive modeling; preferably a PhD, in Statistics/Applied Statistics, Applied Mathematics, or Economics, or a related field, plus 8+ years of experience. • Solid understanding of database principles; experience in data manipulation and cleaning; experience in identification and resolution of data issues. • Advanced Excel skills and demonstrated experience in programming languages such as SAS, SQL, VBA, R, Python etc. Should be proficient in at least two of the following languages: SAS, SQL, R and/or Python. • Awareness of typical insurance data sources, both internal and external 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. Privacy Policy: To view our privacy policy and online privacy statement, click here. Applicants who are California residents: To see the types of information we may collect from applicants and employees and how we use it, please click here. Other details Job Function Actuarial Pay Type Salary Required Education Master’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
114
179
146.5
The Hanover Insurance Group
MA
1
168
1
0
0
0
1
Associate Scientist/Scientist, Process Analytical Technology - Small Molecule Analytical Chemistry
$88K-$162K (Glassdoor est.)
The Position We are seeking a talented and innovative process analytical technology scientist to join our Small Molecule Analytical Chemistry group. The successful candidate will provide enhanced understanding of chemical reactions and crystallizations in early stage development through the design and implementation of on-line/at-line/in-line measurement systems. The individual will partner with colleagues from process chemistry, analytical chemistry, and occasionally pharmaceutics groups to support batch and continuous manufacturing efforts for classical small molecules, hybrid modalities, and nano-particle delivery vehicle assembly. The scientist will develop a broad array of rapid spectroscopic, chromatographic, and imaging methods including on-line HPLC, Raman, FTIR, NIR, PVM, FBRM, GC and other state-of-the-art analytical instruments. In addition, he/she is expected to develop methods for automated process sampling and data analysis, evaluate cutting edge analytical techniques and lead new technology development. The scientist is expected to maintain a high-level scientific profile both internally and externally in terms of pipeline contributions and scholarly achievements. This position requires hands-on experience with modern analytical instrumentation, the ability to simultaneously support 3-5 development programs, and solid method and instrument troubleshooting skills. The successful candidate will accomplish our mission through clear communication, innovation, leadership, teamwork, creative problem-solving. Qualifications Ph.D. in chemical engineering or chemistry, or a closely related field with 0-5 years of experience. Strong fundamental knowledge of organic chemistry, spectroscopy, and chromatography; demonstrated ability to apply these skills in the development of small molecules, peptides and/or polymers. Hands-on experience with a wide variety of modern analytical instrumentation including, ReactIR, ReactRaman, particle size measurement and in-depth understanding of modern spectroscopic techniques. Have demonstrated an outstanding record of productivity, innovation and success in multiple projects over the course of their graduate, post-doctoral and/ or industrial career with sustained publication record in high impact journals and presentations at scientific conferences. Knowledge of Matlab and multivariate analysis is desired. Have the potential to contribute to the advancement of new drug therapies through innovation and collaboration. Experience in feedback control leading to automated process optimization and artificial intelligence is highly valuable. Ability to take initiatives, provide strategic input, and solve problems. A strong desire to work in a collaborative, multi-disciplinary environment; demonstrated ability to effectively interact in small teams. Customer-focused, motivated, detail-oriented, have excellent organizational, written and oral communication skills. #LI-GREDGL1 #acs Who We Are A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work. The next step is yours. To apply today, click on the "Apply online" button. Genentech is an equal opportunity employer & prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status. For more information about equal employment opportunity, visit our Genentech Careers page. Job Facts JOB FUNCTION Research COMPANY/DIVISION Pharmaceuticals SCHEDULE Full time JOB TYPE Regular
3.9
Genentech 3.9
South San Francisco, CA
South San Francisco, CA
10000+ employees
1,976
Subsidiary or Business Segment
Biotech & Pharmaceuticals
Biotech & Pharmaceuticals
$10+ billion (USD)
-1
0
0
88
162
125
Genentech
CA
1
44
0
0
0
0
1
Sr. Data Analyst
$60K-$102K (Glassdoor est.)
Who We Are At MassMutual, we help millions of people find financial freedom, offer financial protection, and plan for the future. Were passionate about helping millions of people find financial freedom and this passion has driven our approach to developing meaningful experiences for our customers. We do this by building trust with our customers by being knowledgeable problem solvers and prioritize their needs above all else. We Live Mutual. MassMutual was named a Top Place to Work in 2019 according to The Boston Globe and No. 84 on the Fortune 500 list of largest companies. Meet the Team Data Analytics It is an exciting time at MassMutual! MassMutual is going through a Digital Transformation, continuing to be a leading customer-centric company. The Data Analytics team, part of MassMutuals new Enterprise Technology Experience organization, is comprised of highly skilled, collaborative problem solvers who are motivated to create innovative solutions that exceed the changing needs of our customers and move MassMutual and the industry forward. The team culture is collaborative, cross-functional, and uses old and new technologies combined with the work/life balance. Current Initiatives: ·Enterprise-wide transition to a unified and governed strategic BI Platform ·Expansion of Digital Operations footprint, and growing need for access to actionable data insights ·Revitalization of analytics and reporting applications to support changing industry needs and expectations The Opportunity Are you highly analytical and like to solve complex problems? Would you describe yourself as a strong collaborative leader? Would you want to be part of a team that encourages your growth, supports your ambitions, and makes it a priority for you to reach your goals? If yes ... keep reading, this opportunity is for you! Job Description To continue our digital transformation, we are looking for a strategic thinker and strong analytical mind to join the Data Analytics team that is tasked with implementing an enterprise strategy to enable seamless integration of analytics best practices and standards to business processes. The Sr. Data Analyst is a critical role to enabling stakeholders and partners to harness the power of their data for decision making. This role will be responsible to work directly with stakeholders, product managers, and engineering teams to understand business objectives/ goals. The Sr. Data Analyst will explore the data, ensuring quality and accuracy, and present it in easily consumable format for the business to use in their decision making process. Objectives and Responsibilities ·Lead discussions with partner teams to elicit, define, and understand objectives, goals, and desired insights ·Provide subject matter expertise on the data needs for project deliveries, scope, acceptance, installation and deployment. ·Interpret data, analyze results using statistical techniques and provide ongoing reports ·Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality ·Acquire data from primary or secondary data sources and maintain databases/data systems ·Identify, analyze, and interpret trends or patterns in complex data sets ·Filter and clean data to locate and correct code problems ·Work with management to prioritize business and information needs ·Locate and define new process improvement opportunities ·Work with data partners to develop/ enhance data to gain required insights ·Design and develop dashboards and reports to visualize analysis results using BI tools ·Contribute to the design, development and completion of project deliverables. Qualifications Bachelors degree or equivalent in Information Technology, Computer Science, CIS, Engineering, or Math 7+ years proven working experience as a data analyst or business data analyst Technical expertise regarding data models, database design development, data mining and segmentation techniques Strong knowledge of and experience with BI Solutions (Micro Strategy, Looker, Tableau), databases (SQL), programming (Python, XML, JavaScript, or ETL frameworks) Knowledge of statistics and experience analyzing datasets Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Adept at queries, report writing and presenting findings Must be comfortable working with large amounts of data Ability to work individually and in a team-oriented, collaborative environment Ability to handle multiple tasks delivering under the Agile methodology Strong written and verbal communication skills Authorized to work in the United States without sponsorship now or in the future Preferred Qualifications 10+ years proven working experience as a data analyst or business data analyst
3.6
MassMutual 3.6
Springfield, MA
Springfield, MA
5001 to 10000 employees
1,851
Company - Private
Insurance Carriers
Insurance
$10+ billion (USD)
-1
0
0
60
102
81
MassMutual
MA
1
169
1
0
0
0
0
Senior Data & Machine Learning Scientist
$100K-$166K (Glassdoor est.)
Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. We are looking for machine learning, deep learning, and data science experts who are passionate about applying state of the art techniques to the processing and integrative analyses of vast amounts of data. The ideal candidate has significant expertise in the biomedical or clinical domain, and is eager to apply his or her skills to improve patient outcomes What You'll Do Analyze and integrate large diverse clinical, molecular, biosignal and imaging datasets to extract insights, and drive research opportunities. Design and prototype novel analysis tools and algorithms for predicting patient outcome and treatment response in oncology and cardiology Collaborate with product, science, engineering, and business development teams to build the most advanced data platform in precision medicine. Interrogate analytical results for robustness, validity, and out of sample stability. Document, summarize, and present your findings to a group of peers and stakeholders. Provide technical leadership & expertise across multiple modeling projects. Qualifications MS/PhD degree in a quantitative discipline (e.g. statistical genetics, cancer genetics, machine learning, bioinformatics, statistics, computational biology, applied mathematics, physics, or similar). 5+ years full time employment or postdoctoral experience building and validating predictive models on structured or unstructured data Outstanding analytical and problem solving skills, with a particular focus on understanding the intricacies of molecular or multi-modal data sets. Strong experience working with genomic, biosignal, clinical, or imaging data. Expert-level experience with supervised and unsupervised machine learning algorithms, and ensemble methods, such as: PCA, regression, deep neural networks, decision trees, gradient boosting, generalized linear models, mixed effect models, non-linear low dimensional embeddings and clustering. Proficient in Python and SQL. Experience with the following: Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, and a machine learning framework such as TensorFlow, SageMaker, or PyTorch Strong programming skills. Thrive in a fast-paced environment and willing to shift priorities seamlessly. Experience with communicating insights and presenting concepts to diverse audiences. Team player mindset and ability to work in an interdisciplinary team. Goal orientation, self motivation, and drive to make a positive impact in healthcare. Nice to Haves Strong peer-reviewed publication record. Kaggle.com competitions and/or kernels track record Experience with: Git, matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plot.ly, Flask, Dask, Docker, AWS. Experience working in a Linux / Mac and AWS cloud environments. Experience in agile environments and comfort with quick iterations. Technical leadership experience. #LI-LH1
3
Tempus Labs 3.0
Chicago, IL
Chicago, IL
501 to 1000 employees
2,015
Company - Private
Biotech & Pharmaceuticals
Biotech & Pharmaceuticals
Unknown / Non-Applicable
-1
0
0
100
166
133
Tempus Labs
IL
1
5
1
0
0
1
0
Program/Data Analyst
$55K-$99K (Glassdoor est.)
Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Suitability: Agency Specific Public Trust/Other Required: NACI (T1) Job Family: Data Analysis Job Description: The Program/Data Analyst supports the data collection and analysis efforts for monitoring the implementation of a government program with respect to the care and placement of participants in a network of grant funded care provider program. Duties include: Work with contractor and federal staff to enhance the collection and analysis of program data Update and develop on site data collection tools and processes to yield statistically reliable and informative data and support field program assessments Assist in identifying performance outcomes and indicators Identify uniform data points for analysis Conduct high-level data interpretation and analysis using a data analytics platform Prepare written summaries and presentations that reflect the results of the data analysis and present findings to agency leadership Provide ad-hoc data reporting as needed Oversee the quality and the production of analytical reports, including Intakes and field reporting Help train contractor and field staff on the use of data collection and analysis tools Assist with projects that support the continual improvement of data analysis Compile, analyze, and visualize data using a data visualization platform such as Tableau Help build data repositories and databases using MS Access or other platforms This position is based in Washington, DC and requires a Public Trust (or the ability to obtain it). Education: Requires BS/BA degree in a related field Experience/Skills: At least 5 years of experience with quantitative and qualitative data interpretation and analysis. 3 years with a Master’s degree. Working knowledge of data visualization platforms (Tableau) and scripting languages (R) Working familiarity with SQL and familiarity with relational databases Advanced skills in Excel, Access, and VBA Exceptional analytic skills Strong attention to detail Strong written and verbal communication skills Experience working with immigrants, refugees, and underserved populations is preferred #GDITpriority Scheduled Weekly Hours: 40 Travel Required: Less than 10% Telecommuting Options: Some Telecommuting Allowed Work Location: USA DC Washington Additional Work Locations: We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done. GDIT 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, disability, or veteran status, or any other protected class.
3.4
General Dynamics Information Technology 3.4
Washington, DC
Fairfax, VA
10000+ employees
1,996
Subsidiary or Business Segment
IT Services
Information Technology
$10+ billion (USD)
SAIC, Leidos, Northrop Grumman
0
0
55
99
77
General Dynamics Information Technology
DC
0
24
0
0
0
0
1
Data Engineer
$67K-$117K (Glassdoor est.)
Secure our Nation, Ignite your Future This position will report to the Group CTO and be part of the technology office staff. You will be supporting an internal big data analytics application that will be hosted on a cloud platform. You will have prior experience working in an agile/DevOps environment. You will have the opportunity to work with some of the newest technologies, transformative projects, and play a strong role in shaping the innovation agenda across the company. Essential Job Duties: Provide database design, development and implementation support Participate in daily scrum meetings and support development team Work with customers and team members in an Agile development environment Follow Continuous Integration/Continuous Delivery (CI/CD) best practices for code build and deployments Develop PL/SQL, stored procedures, ETL scrips to support this analytics application Document database design and develop optimum data ingest techniques from multiple data sources Minimum Requirements: Minimum Requirements: Bachelors Degree in Computer Science, IT or related field & minimum 5-7 years of QA experience Minimum experience of 5 years with relational databases such as Oracle, SQL Server, Sybase, RedShift Minimum 3+ years of experience with ETL technologies Additional skills: Experience using Jira, Git, Confluence, Knowledge and understanding of big data technologies like Hadoop, Hive, etc., Ability to handle stress and work well under pressure, Ability to use MS Office, Experience with cloud technologies, Analytical and Critical Thinking Skills, Interpersonal and People Skills, Leadership Skills, Listening Skills, Multitasking Ability, Oral and Written Communication Skills, Organizational Skills ManTech International Corporation, as well as its subsidiaries proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, color, sex, religion, age, sexual orientation, gender identity and expression, national origin, marital status, physical or mental disability, status as a Disabled Veteran, Recently Separated Veteran, Active Duty Wartime or Campaign Badge Veteran, Armed Forces Services Medal, or any other characteristic protected by law. If you require a reasonable accommodation to apply for a position with ManTech through its online applicant system, please contact ManTech's Corporate EEO Department at (703) 218-6000. ManTech is an affirmative action/equal opportunity employer - minorities, females, disabled and protected veterans are urged to apply. ManTech's utilization of any external recruitment or job placement agency is predicated upon its full compliance with our equal opportunity/affirmative action policies. ManTech does not accept resumes from unsolicited recruiting firms. We pay no fees for unsolicited services. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access http://www.mantech.com/careers/Pages/careers.aspx as a result of your disability. To request an accommodation please click careers@mantech.com and provide your name and contact information.
4.1
ManTech 4.1
Herndon, VA
Herndon, VA
5001 to 10000 employees
1,968
Company - Public
Research & Development
Business Services
$1 to $2 billion (USD)
-1
0
0
67
117
92
ManTech
VA
1
52
0
0
0
0
0
Senior Data Scientist: Causal & Predictive analytics AI Innovation Lab
$92K-$150K (Glassdoor est.)
21-Jan-2020 Job ID 279463BR {"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 Causal & Predictive analysis for Novartis . In this newly created role, you will: • Conduct end-to-end Causal & Predictive 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: Causal & Predictive analytics 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
Principal Data Engineer, Data Platform & Insights
$116K-$209K (Glassdoor est.)
Location: San Francisco, CA- United States Job ID: 20WD39526 Position Overview Autodesk is seeking an experienced data engineer to join our growing engineering team within Data Platform & Insights (DPI). This team is at the heart of Autodesk’s efforts to radically improve how we create value for customers and make decisions through data. As a data engineer on this team, you will help create a robust and scalable data platform for other teams across the company to leverage. This work will include tasks such as creating abstractions to speed the platform’s adoption and building reliable pipelines to support growing data processing and analytics needs. Ideally you will be a self-starter, detail and quality oriented, and excited about the prospects of having a big impact with data at Autodesk. Responsibilities Build and scale data infrastructure that powers batch and real-time data processing of billions of records daily Improve the data quality and reliability of data pipelines through monitoring, validation and failure detection Build foundational data sets that are trusted, well understood, aligned with business strategy and enable self-service Interface with data scientists, analysts, product managers and all data stakeholders to understand their needs and promote best practices Architect data pipelines that provide fast, optimized, and robust end-to-end solutions Automate manual processes and create a platform in favor of self-service data consumption Minimum Qualifications 5 years of relevant industry experience in Data Engineering working with large scale data driven systems Problem solver with excellent written and interpersonal skills; ability to make sound, complex decisions in a fast-paced, technical environment Familiar with workflow management tools, like Airflow and Oozie Experience designing data schemas and fine-tuning queries around large, complex data sets Experience working with big data frameworks, like Hive, Spark and Presto Deep understanding of SQL, dimensional modeling, and analytical data warehouses, like Snowflake Strong overall programming skills, able to write modular, maintainable code Expertise in object-oriented and/or functional programming languages (Python preferred) Understanding of polyglot data persistence (relational, key/value, document, column) Bachelor’s degree in Computer Science, Engineering or related field, or equivalent training, fellowship or work experience
4
Autodesk 4.0
San Francisco, CA
San Rafael, CA
5001 to 10000 employees
1,982
Company - Public
Computer Hardware & Software
Information Technology
$2 to $5 billion (USD)
-1
0
0
116
209
162.5
Autodesk
CA
0
38
1
0
1
0
1
RESEARCH SCIENTIST - BIOLOGICAL SAFETY
$38K-$82K (Glassdoor est.)
Join the Applied Physics Division as a Research Scientist. Perform daily microbiological technical tasks as it relates to standard testing or R&D efforts. Maintain the safety and aseptic environment of the biological facilities. Immerse into promoting the microbiological sciences area to help grow commercial and government contacts. Be diverse in organism knowledge and ability to work with several biologics. Develop strategies to grow accounts and expand business relationships. Stay abreast of current industry trends and advise of new skills, equipment or capabilities the team should focus on. Assist with overall biological safety reviews and documentation. Education/Experience: Requires a BS degree in Microbiology, Virology, Immunology, Cell or Molecular Biology, Genetics, Parasitology, Biochemistry, or Chemistry with 2-5 years of microbiology and wet chemistry experience. Must have at least a 3.0 GPA. Experience in and knowledge of Biological Safety for Biological Safety Levels 1 & 2 and favorably 3 is required. Must have experience working on methods/tests that require GLP (Good Laboratory Practice) or GMP (Good Manufacturing Practice) documentation. Experience in DNA extraction, purification, amplification and identification means is preferred. Experience working with BSL-2 organisms is preferred. Experience in the government and commercial sectors is preferred. Must have the ability to market and promote technical capabilities. A valid/clear driver's license is required. Special Considerations: Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Applicant must be a U.S. citizen. Job Locations: San Antonio, Texas For more information about this division, visit the Applied Physics home page. An Equal Employment Opportunity/Affirmative Action Employer Race/Color/Religion/Sex/Sexual Orientation/Gender Identity/National Origin/Disabled/Veteran Committed to Diversity in the Workplace
3.9
Southwest Research Institute 3.9
San Antonio, TX
San Antonio, TX
1001 to 5000 employees
1,947
Nonprofit Organization
Research & Development
Business Services
$500 million to $1 billion (USD)
Los Alamos National Laboratory, Battelle, SRI International
0
0
38
82
60
Southwest Research Institute
TX
1
73
0
0
0
0
0