Senior Data Scientist - Health100 AI

CVS Health • Wellesley, MA

1d • $111,240 - $222,480

About The Position

CVS Health is seeking a Senior Data Scientist to partner with Trade leaders to solve complex business problems using data, analytics, and quantitative decision-making, with a strong focus on building and productionizing Agentic AI solutions. This consultative role translates ambiguous business questions into analytical frameworks, develops AI-powered tools and workflows, and influences strategic and operational decisions.

The Senior Data Scientist serves as a trusted advisor to business stakeholders, combining hands-on AI engineering skills, statistical reasoning, business acumen, and structured problem-solving to identify and act on trade insights. The role involves designing and deploying Agentic AI solutions via APIs, rapid hypothesis generation, statistical analysis, experimentation, forecasting, and communicating recommendations that drive measurable business outcomes. The ideal candidate is intellectually curious, thrives in ambiguous environments, works directly with business leaders, and builds production-grade AI products for high-impact operational challenges across CVS Enterprise.

Requirements

• At least 3 years of experience in analytics, data science, management consulting, business analytics, operations research, or a related quantitative field.
• Hands-on experience designing, building, and deploying Agentic AI solutions, including productionizing models and workflows via APIs.
• Demonstrated experience solving complex business problems using statistical analysis and data-driven decision-making.
• Strong analytical and critical-thinking skills, including the ability to structure ambiguous problems into actionable analytical approaches.
• Experience with hypothesis testing, regression, forecasting, segmentation, and experimental design.
• Proficiency in SQL and Python, including experience building and integrating APIs to deploy data and AI products into production.
• Ability to synthesize large datasets into concise, actionable insights for business and executive audiences.
• Strong communication, storytelling, and presentation skills, with experience influencing cross-functional stakeholders.
• Experience partnering directly with business leaders to prioritize opportunities and develop data-informed recommendations.
• Ability to manage multiple initiatives in a fast-paced, highly collaborative environment.
• Hands-on exposure to generative AI, agentic frameworks, or intelligent analytics platforms, and ability to apply them to real business problems.
• Bachelor's degree in Statistics, Economics, Mathematics, Operations Research, Engineering, Computer Science, Business Analytics, or a related quantitative field.

Nice To Haves

• Master's degree in a quantitative discipline.
• Experience in management consulting or internal strategy and analytics organizations.
• Experience supporting healthcare, pharma, pharmacy, specialty pharmacy, payer, or healthcare operations.
• Knowledge of operational performance metrics, process optimization, workforce analytics, or service operations.
• Experience designing and evaluating business experiments, including A/B testing, pilot evaluations, or quasi-experimental analyses.
• Familiarity with predictive modeling and machine learning techniques, including the ability to determine when they are appropriate for business problems.
• Experience with LLM or agentic AI frameworks such as LangChain or LlamaIndex, and deploying models via cloud or API-based architectures.
• Experience developing executive presentations and facilitating discussions with senior leadership.
• Experience with data visualization tools such as Tableau or Power BI.

Responsibilities

• Partner with Trade leaders and business stakeholders to solve complex business problems using data, analytics, and quantitative decision-making.
• Translate ambiguous business questions into analytical frameworks and actionable approaches.
• Design, build, and productionize Agentic AI solutions, tools, and workflows, including deployment via APIs.
• Conduct statistical analyses, experimentation, forecasting, and rapid hypothesis generation to identify trade insights.
• Synthesize large datasets into concise, actionable insights and recommendations for business and executive audiences.
• Influence strategic and operational decisions and drive measurable business outcomes.
• Partner with business leaders to prioritize opportunities and develop data-informed recommendations.
• Communicate findings through clear storytelling and presentations, influencing cross-functional stakeholders.

Benefits

• Medical coverage
• Dental coverage
• Vision coverage
• Paid time off
• Retirement savings options
• Wellness programs
• Other resources supporting colleagues' physical, emotional, and financial well-being, based on eligibility
• Eligible for a CVS Health bonus, commission, or short-term incentive program

What This Job Offers

• Job Type: Full-time
• Career Level: Senior