Senior Data Scientist - Stars CAHPS

CVS Health•New York, NY

1d•$111,240 - $222,480

About The Position

The STARS Analytics and Behavior Change team is seeking an accomplished senior data scientist to expand the Aetna Stars team. The role works with a small, dynamic team to build innovative solutions that quantify and improve Stars performance for Medicare business. It includes hands-on technical projects and opportunities to present novel solutions to business stakeholders. The position develops or uses algorithms and statistical predictive models, selecting analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes. It analyzes structured and unstructured data to solve complex business problems using advanced statistical and mathematical methods and knowledge of the organization or industry. The data scientist partners with business stakeholders to understand problems and goals, develop predictive models and statistical analyses, and produce data reports and performance metrics. The role also presents and consults on analytics results and solutions, exchanges complex information with internal and external peers and managers, investigates problems, detects patterns, recommends solutions, and interprets large volumes of data.

Requirements

At least 3 years of relevant analytic experience.
Programming experience using R or Python.
Experience in SQL.
Bachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or a related discipline.

Nice To Haves

Ability to communicate technical concepts and implications to business partners.
Ability to anticipate and prevent problems and roadblocks before they occur.
Strong knowledge of advanced analytics tools and languages for analyzing large data sets from multiple data sources.
Proficiency in mathematical analysis methods, machine learning, statistical analysis, and predictive modeling, with in-depth specialization in some areas.
Master’s degree or PhD.

Responsibilities

Develop and/or use algorithms and statistical predictive models, and determine analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
Analyze structured and unstructured data to solve multiple or complex business problems using advanced statistical techniques, mathematical analyses, and knowledge of the organization and/or industry.
Collaborate with business partners to understand their problems and goals and develop predictive modeling, statistical analysis, data reports, and performance metrics.
Develop and participate in presentations and consultations with existing and prospective constituents about analytics results and solutions.
Exchange complex information related to areas of specialization with internal and external peers and managers.
Use algorithms and predictive models to investigate problems, detect patterns, and recommend solutions.
Use programming skills to explore, examine, and interpret large volumes of data in various forms.