Senior Decision Scientist - Growth Analytics

CVS Health; New York (NY); On-site; USD 111,240 - 222,480; Full time

Job summary

CVS Health is seeking a data analytics/ML leader to drive growth in Medicare with analytics-driven insights. You'll design ML architectures, collaborate with Marketing and Sales, and lead cross-functional teams to deploy data-driven solutions.

Join a team applying advanced machine learning techniques to inform go-to-market strategies, with a strong emphasis on data quality, testing, and scalable deployment.

Qualifications

• 3+ years in data analytics, ML, BI, data engineering, or applied data science.
• 3+ years with SQL and Python/R for data analysis.
• 1+ years with data visualization tools such as Tableau or Power BI.

Responsibilities

• Inform Medicare growth strategy through analytics with segmentation and forecasting.
• Design end-to-end ML system architecture from data ingestion to model serving.
• Leverage AI tools to evaluate model inputs and performance.

Skills

Data analytics

Stakeholder communication

Data visualization

Team collaboration

Problem solving

Education

Bachelor's degree in business/quantitative field

Master's degree in business/quantitative field

Tools

SQL

Python/R

Tableau/Power BI

Job description

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

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

• $111,240.00 - $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.

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: 08/16/2026

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