Lead Data Scientist

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

The Aetna Medicare Stars business is seeking a Lead Data Scientist to own analytics and decision support for the Patient Safety measure set, medication adherence (diabetes, hypertension, statins), SUPD, and polypharmacy, within Stars Data Science. This role translates measure-level performance into actionable, member- and provider-level interventions that close gaps and protect Star Ratings.

The Lead Data Scientist operates as both a senior individual contributor and a technical leader, building the analytical frameworks, cohort models, and decision tools that inform outreach prioritization, vendor pilot evaluation, and cross-functional strategy for the Patient Safety domain. This role partners closely with clinical pharmacy, population health, and program leaders to ensure analytics translate into practical, deployable interventions.

Job Responsibilities

· Own end-to-end analytics for the Patient Safety measure set: medication adherence (diabetes, hypertension, cholesterol), SUPD, and polypharmacy (opioid, anticholinergic, CNS-active).

· Build and maintain cohort segmentation, risk scoring, and gap-prediction models that identify members likely to fall out of adherence or into a polypharmacy risk category before it affects the measure.

· Design and evaluate outreach and intervention pilots (for example, combined medication adherence and HEDIS gap outreach) using rigorous pre/post and control-group methodology, and quantify ROI.

· Lead technical mentoring of junior and mid-level data scientists on the Patient Safety analytics workstream, reviewing methodology and code, not just outputs.

· Partner with clinical pharmacy, population health, and vendor management leaders to translate measure-level findings (denominator composition, adherence trends, drug interaction risk) into specific, actionable business recommendations.

· Present findings and recommendations to Stars leadership, framing technical analysis in business and clinical terms.

· Maintain a working command of CMS Patient Safety measure specifications, cut points, and scoring methodology, and flag measure or specification changes that affect strategy.

· Evaluate vendor and program performance for Patient Safety-adjacent interventions (MTM, medication therapy management outreach, pharmacy partnerships) using consistent, defensible measurement standards.

· Contribute to the broader Stars Data Science analytical roadmap, ensuring Patient Safety work is coordinated with adjacent measure teams (HEDIS, PCR, member experience) rather than run in isolation.
Required Qualifications

· 8+ years of experience in data science, analytics, or decision science, ideally with healthcare, pharmacy, or Medicare Advantage/Part D experience.

· Deep hands-on technical skill: SQL, Python, and experience building production-grade cohort and predictive models on large claims or clinical datasets (BigQuery or equivalent).

· Working knowledge of Medicare Part D Patient Safety measures (medication adherence, SUPD, polypharmacy) and CMS Star Ratings methodology, or the demonstrated ability to ramp quickly on measure-specific technical detail.

· Demonstrated experience designing and evaluating outreach or intervention pilots, including control-group and ROI methodology.

· Track record of mentoring and technically leading other data scientists, without requiring formal people-management scope.

· Strong communication skills, with the ability to translate complex analysis into clear, clinically and operationally grounded recommendations for non-technical stakeholders.

· Comfortable operating with significant autonomy in a fast-moving, ambiguous environment, and prioritizing across multiple concurrent measure-level asks.

Bachelor's degree required; degree in a quantitative field (statistics, computer science, applied math, biostatistics) preferred; advanced degree a plus



Education
Bachelor's degree required; degree in a quantitative field (statistics, computer science, applied math, biostatistics) preferred; advanced degree a plus

Pay Range

The typical pay range for this role is:

$130,295.00 - $260,590.00

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. This position also includes an award target in the company’s equity award program.

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.

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: 10/31/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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