We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
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
40Time Type
Full timePay Range
The typical pay range for this role is:
$92,700.00 - $203,940.00This 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.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
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.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Skills Required
- 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
- Production-grade Python and advanced SQL
- Proficiency with PySpark, Databricks, Snowflake, and distributed computing
- Strong fundamentals in regression, classification, clustering, time-series forecasting, and experiment design
- Familiarity with 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
- Bachelor's degree in a quantitative field (required); Master's or PhD strongly preferred
- Experience shipping analytical products in Streamlit or distributed computing (preferred)
- Familiarity with PBM, payer, or insurance metrics (loss ratios, retention, conversion, premium volume, MLR) (preferred)
- Exposure to MLOps tooling such as MLflow, Vertex AI, SageMaker, or similar (preferred)
- Experience as a technical lead or squad lead on an analytics team (preferred)
What We Do
CVS Health is the leading health solutions company that delivers care in ways no one else can. We reach people in more ways and improve the health of communities across America through our local presence, digital channels and our nearly 300,000 dedicated colleagues – including more than 40,000 physicians, pharmacists, nurses and nurse practitioners. Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications, or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by improving access, lowering costs and being a trusted partner for every meaningful moment of health. And we do it all with heart, each and every day.
