Senior Data Scientist - Agentic AI & Decision Intelligence

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.
Position Summary We are seeking a Sr. Data Scientist – Agentic AI & Decision Intelligence to pioneer the next generation of analytics and data driven decision-making. This role will focus on building and scaling agentic AI frameworks, conversational analytics, and decision intelligence systems that transform how our business interacts with data. You will design and execute a customer‑centric analytics strategy powered by AI agents, LLMs, and generative AI, ensuring insights are not just delivered, but acted upon.

This is a highly visible role where you will contribute to the vision, strategy, and own the execution of AI‑driven decision systems
, positioning the organization at the forefront of intelligent business analytics.

• 3+ years of experience in advanced analytics,
  decision science, applied AI/ML
• Strong programming skills in Python and SQL
  , with experience deploying AI systems in cloud environments (GCP, AWS, or Azure).
• Deep expertise in at least one area of advanced modeling:
  predictive analytics, reinforcement learning, NLP, or causal inference
  .
• Proven ability to translate complex AI concepts into business impact
  , including stakeholder alignment and business value sizing.
• Experience leading end‑to‑end AI‑driven solution delivery
  : from data foundation to model orchestration to front‑end adoption.
• Hands‑on experience with LLMs, generative AI, or conversational AI frameworks (e.g., Lang Chain, RAG).
• Strong communication, storytelling, and customer engagement skills
  , with a passion for building solutions that are intuitive and impactful.

• Experience implementing agentic AI systems for conversational analytics, autonomous reporting, or decision support.
• Familiarity with Vertex AI and Google Cloud Platform
  , or equivalent enterprise AI platforms.
• Familiarity with BI tools (Tableau, Looker, Power BI) and analytics engineering (Snowflake, modern warehouses).
• Background in healthcare or pharmacy analytics
  , with a strong interest in improving outcomes through intelligent decision systems.
• Experience with UI/UX design, customer journey mapping, and design thinking (Figma experience is a plus).
• Knowledge of data observability, governance, and AI ethics to ensure trustworthy, transparent decision intelligence systems.

Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Master’s degree or PhD preferred.

40

Full time

The typical pay range for this role is: $ – $. This pay range represents the base hourly rate or base annual full‑time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short‑term incentive program in addition to the base pay range listed above.

We take pride in our comprehensive and competitive mix of pay and benefits—investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options
  , a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No‑cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit

We anticipate the application window for this opening will close on: 12/28/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.