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About the Role

We are 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. 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.

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

Requirements

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
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

Skills

SQL
Python/R
Tableau
R Shiny
Power BI
Machine Learning
Data Analytics
BI
Data Engineering
Applied Data Science
Statistical Techniques
Data Visualization
AI Tools and Techniques

Work Type

Full time

Experience Level

3+ years of professional experience
3+ years of experience
2+ years of experience
1+ years of experience

Education Level

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

Salary/Compensations

$111,240.00 - $222,480.00

Benefits

medical, dental, and vision coverage
paid time off
retirement savings options
wellness programs
CVS Health bonus, commission or short-term incentive program

About the Company

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.

Equal Opportunity

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