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 on complex business problems using data, analytics, and quantitative decision-making, with a strong focus on building and productionizing Agentic AI solutions. The role is highly consultative and involves translating ambiguous business questions into analytical frameworks, developing AI-powered tools and workflows, and influencing strategic and operational decisions. The Senior Data Scientist serves as a trusted advisor to business stakeholders, combining hands-on AI engineering, statistical reasoning, business acumen, and structured problem-solving to identify and act on trade insights. The work includes designing and deploying Agentic AI solutions via APIs, generating hypotheses, conducting statistical analyses and experiments, forecasting, and communicating recommendations that support measurable business outcomes. The ideal candidate is intellectually curious, comfortable with ambiguity, and motivated to work directly with business leaders while developing 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 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, including 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 the 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

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 and 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.
Master’s degree in a quantitative discipline.

Responsibilities

Partner with Trade leaders and business stakeholders to solve complex 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 via APIs.
Conduct hypothesis generation, statistical analysis, experimentation, and forecasting 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 directly with business leaders to prioritize opportunities and develop data-informed recommendations.
Manage multiple initiatives in a fast-paced, highly collaborative environment.