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
Do you want to drive the next level of growth for a leading national B2C healthcare brand, impacting millions of prospects and members? We’re seeking innovative leaders to accelerate growth in Aetna’s Medicare Business by leveraging consumer marketing, sales, and product design powered by data science and consulting expertise.
Our Medicare Analytics team is integral to Aetna’s go-to-market strategies, including growth planning, business case development, customer segmentation, product design, media mix optimization, attribution modeling, and member retention. Using advanced machine learning techniques and petabytes of data, we infuse analytics into every aspect of our growth initiatives.
You’ll help us shape the future by solving complex problems, driving quantitative analysis, and delivering data-driven insights that power tomorrow’s business innovations.
Key Responsibilities
Work closely with our Marketing and Sales partners to inform Aetna’s Medicare member growth strategy through analytics – e.g., customer segmentation, test design, forecasting, what-if scenarios, and more
Design and document end-to-end ML system architecture, from data ingestion and feature engineering to model serving and front-end consumption
Leverage AI tools and techniques to understand model input/output/performance and inform development cycles
Build and test prototypes quickly to enable rapid iteration and experimentation
Collaborate with engineering and product teams to ensure models are production-ready and integrated effectively
Provide technical leadership and review on architecture decisions across the ML lifecycle
Required Qualifications
3+ years of professional experience in data analytics, machine learning, BI, data engineering, or applied data science
3+ years of experience using with SQL and Python/R for data analysis
2+ years of experience using statistical techniques on complex data to solve business problems
Proven track record of leveraging data to influence cross-functional stakeholders, partners, and leadership to drive decisions
Ability to clearly articulate and communicate complex problems and solutions in a simple, logical, and impactful manner
1+ years of experience with data visualization tools such as Tableau, R Shiny, or Power BI
1+ years of demonstrated ability to manage relationships with technical and non-technical stakeholders
Preferred Qualifications
Strong foundation in core ML concepts including supervised and unsupervised learning, model evaluation, and feature engineering
Ability to think end-to-end, connecting back-end data pipelines, model development, and front-end delivery
Experience designing or contributing to ML system architecture
Hands-on experience leveraging AI to improve models and a bias toward rapid prototyping and iteration
Comfortable working across technical and non-technical stakeholders
Experience with model deployment and production rollout is a plus
Education
Bachelor’s degree in a business or quantitative field, or equivalent formal education and experience
Master’s degree in a business or quantitative field preferred
Anticipated Weekly Hours
40Time Type
Full timePay Range
The typical pay range for this role is:
$111,240.00 - $222,480.00This 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
- 3+ years professional experience in data analytics, machine learning, BI, data engineering, or applied data science
- 3+ years experience using SQL and Python or R for data analysis
- 2+ years using statistical techniques on complex data to solve business problems
- Proven track record of leveraging data to influence cross-functional stakeholders and leadership
- Ability to clearly articulate complex problems and solutions simply and impactfully
- 1+ years experience with data visualization tools (Tableau, R Shiny, or Power BI)
- 1+ years demonstrated ability to manage relationships with technical and non-technical stakeholders
- Bachelor's degree in a business or quantitative field or equivalent formal education and experience
- Strong foundation in core ML concepts, end-to-end ML system design, model evaluation, feature engineering, and production deployment experience
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.
