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
• Bachelor’s degree in a business or quantitative field, or equivalent formal education and experience

Preferred

• 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
• Master’s degree in a business or quantitative field preferred

Benefits

• 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 .