CVS / Aetna

Position Title/Short Description

Full Text of JOE Listing:

The Clinical Product Analytics team is growing rapidly and we are seeking Data Scientists at all experience levels. The individuals will join the newly formed Clinical Products team and support, end to end, one or more of the teams three objectives. This role will build predictive models, work with clinical experts (e.g. doctors) to translate their subject matter expertise into machine learning models, extract and manipulate data from multiple large data sources, and present her / his work to technical and non-technical stakeholders. The role will also use the results of AB testing to improve the performance of the teams statistical modeling and targeting.

Culturally, because we are a new team, we are looking for candidates who embrace the explorer mindset of asking questions, iterating quickly, being comfortable pivoting intelligently, and moving fast.

Locations: NY-New York, MA-Wellesley, CT-Hartford

Fundamental Components:
Develops and/or uses algorithms and statistical predictive models.

Brings clinical insights to inform predictive models: is comfortable reading academic clinically oriented literature and collaborating with clinical subject matter experts to inform predictive models.

Performs analyses of structured and unstructured data to solve multiple and/or complex business problems using advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry.

Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics.

Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions.

Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.

Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions.

Use strong programming skills to explore, examine and interpret large volumes of data in various forms.