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Position Summary
The Senior Data Scientist, Clinical Data Science (HOS & HRA) plays a key role in advancing analytics that improve Medicare Advantage member outcomes and CMS Star Ratings performance. This position supports the design, implementation, and automation of analytic solutions for the Health Outcomes Survey (HOS) and Health Risk Assessment (HRA) programs-two core domains in Aetna's Medicare clinical strategy.
The ideal candidate combines strong technical depth in data science and statistical modeling with the ability to translate complex findings into actionable insights for non-technical audiences. This individual will automate recurring data science workflows, conduct robust impact and descriptive analyses, and collaborate closely with clinical, quality, and operations teams to identify emerging opportunities that improve member experience and population health outcomes.
Key Responsibilities
Clinical Data Science & Analytics
Lead the development of analytic models and descriptive frameworks supporting HOS and HRA performance improvement across Medicare Advantage.
Conduct impact analyses, trend identification, and segmentation to explain drivers of performance and inform strategy.
Automate recurring analytics and reporting pipelines to increase reliability, efficiency, and reproducibility of insights.
Apply advanced statistical, predictive, and causal inference methods to evaluate intervention effectiveness and identify member-level opportunities.
Develop and refine tools for data visualization and storytelling to communicate results clearly to non-technical stakeholders.
Partner with business leaders to translate analytic results into actionable recommendations for program design, member outreach, and care interventions.
Collaboration & Consultation
Serve as a bridge between technical and non-technical teams, ensuring analytic outputs are interpretable and actionable.
Collaborate cross-functionally with Clinical Operations, Member Experience, and Quality teams to align analytics with enterprise goals.
Support enterprise data modernization and automation initiatives by identifying repeatable use cases for scalable analytics and workflow improvement.
Mentor junior data scientists and analysts on best practices for data integrity, modeling, and automation.
Technical & Operational Excellence
Design and maintain automated analytic processes leveraging Python, SQL, and modern cloud environments (e.g., GCP).
Ensure accuracy, consistency, and explainability of models and metrics through disciplined version control and validation.
Contribute to the team's continuous improvement culture by recommending new methods, tools, or data sources that enhance analytic precision and speed.
Required Qualifications
5+ years of hands-on experience in data science, advanced analytics, or statistical modeling in healthcare, life sciences, or managed care.
Strong proficiency in Python, SQL, and data science libraries (e.g., pandas, scikit-learn, statsmodels).
Demonstrated ability to automate data workflows and standardize recurring analyses or reporting.
Experience applying statistical and descriptive analytics to clinical or quality measurement problems (e.g., HOS, HRA, CAHPS, or HEDIS).
Proven success communicating complex findings to non-technical business partners and influencing decision-making.
Ability to work effectively in a fast-paced, cross-functional environment.
Preferred Qualifications
Master's or PhD in Data Science, Statistics, Epidemiology, Public Health, or a related quantitative field.
Familiarity with Medicare Advantage, CMS Star Ratings methodology, and clinical quality measures.
Experience working within modern cloud environments (e.g., Google Cloud Platform, Databricks) and with workflow orchestration tools (Airflow, dbt).
Background in impact measurement, causal inference, or time-series analysis in healthcare @contexts.
Core Competencies
Analytic Excellence: Strong applied modeling, statistical, and automation skills. Storytelling with Data: Ability to distill technical insights into clear, actionable narratives.
Collaboration: Effective partner to clinical, operations, and business teams.
Innovation: Continuously improves processes, tools, and methods for scale and efficiency.
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$83,430.00 - $222,480.00
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.
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 our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan .
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 12/31/2025
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
