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.
CVS Health Edison, New Jersey, USA Office
Edison, United States
CVS Health Elizabeth, New Jersey, USA Office
Elizabeth, United States
CVS Health Florham Park, New Jersey, USA Office
Florham Park, United States
CVS Health Hoboken, New Jersey, USA Office
Hoboken, United States
CVS Health Jersey City, New Jersey, USA Office
Jersey City, United States
CVS Health Montclair, New Jersey, USA Office
Montclair, United States
CVS Health New Brunswick, New Jersey, USA Office
New Brunswick, United States
CVS Health New Rochelle, New York, USA Office
New Rochelle, United States
CVS Health New York, New York, USA Office
New York, United States
CVS Health New York, New York, USA Office
New York, United States
CVS Health New York, New York, USA Office
New York, United States
CVS Health New York, New York, USA Office
New York, United States
CVS Health Newark, New Jersey, USA Office
Newark, United States
CVS Health North Brunswick, New Jersey, USA Office
North Brunswick, United States
CVS Health Paterson, New Jersey, USA Office
Paterson, United States
CVS Health Teaneck, New Jersey, USA Office
Teaneck, United States
CVS Health Yonkers, New York, USA Office
Yonkers, United States
Similar Jobs
.png){kind=avatar}
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
