Full Job Description
Position Summary
We're hiring a Senior Data Scientist to 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. Workstreams span pricing and risk modeling, portfolio and strategy analytics, and the reporting and insight products our business runs on.
What You'll Do
You'll 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 (Lead Director, Executive Director, AVP). You'll 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.
What You'll Bring
- 5-8+ 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)
Preferred Qualifications
- Experience as a technical lead or squad lead on an analytics team
- Familiarity with PBM, payer, or insurance metrics (loss ratios, retention, conversion, premium volume, MLR)
- Experience shipping analytical products in Streamlit, distributed computing.
- Exposure to MLOps tooling (MLflow, Vertex AI, SageMaker, or similar)
Education
Bachelor's degree in a quantitative field required. Master's or PhD in Statistics, Computer Science, Economics, Operations Research, or related field strongly preferred.
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$92,700.00 - $203,940.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 07/16/2026
