Senior Decision Scientist - AI

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About the role

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 -

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