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CVS Health

Senior Data Scientist, Products

CVS Health

Senior Data Scientist leading analytics for CVS Health's sales and underwriting portfolio. Owning projects and mentoring peers to deliver actionable insights and drive business decisions.

Posted 5/27/2026full-timeRemote • Illinois, New York, Texas • 🇺🇸 United StatesSenior💰 $83,430 - $203,940 per yearWebsite

Tech Stack

Tools & technologies
PySparkPythonSQL

About the role

Key responsibilities & impact
  • lead a workstream within Caremark's sales and underwriting analytics portfolio — owning end-to-end delivery as a senior individual contributor, setting technical direction, and mentoring peers
  • own multiple concurrent projects across model development, strategic analysis, and analytics product delivery — framing the business question, designing the approach, building the solution, and presenting findings to senior stakeholders
  • set technical direction for your workstream, mentor junior data scientists, and partner directly with business leaders across sales, underwriting, and finance to turn analysis into action

Requirements

What you’ll need
  • 5+ years of data science experience, with at least 2 years in financial services, insurance, healthcare, or PBM
  • Track record of analytical work that changed business decisions — not just answered questions
  • Production-grade Python and advanced SQL; proficiency with PySpark, Databricks, Snowflake, distributed computing or equivalent
  • Strong fundamentals across regression, classification, clustering, time-series forecasting, and experiment design — with the judgment to pick the right tool for each problem
  • Familiarity with the ML model lifecycle: training, validation, deployment, monitoring, and drift detection
  • Ability to explain a model's assumptions and limits to a non-technical executive in three sentences
  • Experience leading workstreams, mentoring peers, and partnering with senior stakeholders (Lead Director and above)

Benefits

Comp & perks
  • medical, dental, and vision coverage
  • paid time off
  • retirement savings options
  • wellness programs
  • comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families

ATS Keywords

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Hard Skills & Tools
data sciencePythonSQLPySparkDatabricksSnowflakeregressionclassificationclusteringtime-series forecasting
Soft Skills
mentoringcommunicationanalytical thinkingleadershipcollaboration