Description
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 is a highly consultative role focused on translating ambiguous business questions into analytical frameworks, developing AI-powered tools and workflows, and influencing strategic and operational decisions.
The Senior Data Scientist will serve as a trusted advisor to business stakeholders, combining hands-on AI engineering skills, strong statistical reasoning, business acumen, and structured problem-solving to identify and act on trade insights.
Responsibilities
- Design and deploy Agentic AI solutions via APIs, rapid hypothesis generation, statistical analysis, experimentation, forecasting, and communicating clear recommendations that drive measurable business outcomes.
- Conduct statistical analyses such as hypothesis testing, regression, forecasting, segmentation, and experimental design.
- Develop and integrate APIs to deploy data and AI products into production.
- Synthesize large datasets into concise, actionable insights for business and executive audiences.
- Partner directly with business leaders to prioritize opportunities and develop data-informed recommendations.
- Manage multiple initiatives in a fast-paced, highly collaborative environment.
Requirements
- 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 with the ability to structure ambiguous problems into actionable analytical approaches.
- Proficiency in SQL and Python, including experience building and integrating APIs to deploy data and AI products into production.
- Strong communication, storytelling, and presentation skills with experience influencing cross-functional stakeholders.
Preferred Qualifications
- 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 (A/B testing, pilot evaluations, quasi-experimental analyses).
- Familiarity with predictive modeling and machine learning techniques, with the ability to determine when these methods are appropriate for business problems.
- Experience with LLM/agentic AI frameworks (e.g., LangChain, LlamaIndex) and deploying models via cloud or API-based architectures.
Benefits
- Comprehensive benefits package, including medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources.
Salary
- $111,240.00 - $222,480.00 per year