Senior Data Scientist - Agentic AI & Decision Intelligence

CVS Health•Wellesley, MA

About The Position

CVS Health is seeking a Sr. Data Scientist – Agentic AI & Decision Intelligence to lead the development of next-generation analytics and data-driven decision-making. This role involves building and scaling agentic AI frameworks, conversational analytics, and decision intelligence systems to transform how the business interacts with data. The Senior Data Scientist will be responsible for designing and executing a customer-centric analytics strategy powered by AI agents, LLMs, and generative AI, ensuring that insights are not only delivered but also acted upon. This is a highly visible position that requires contributing to the vision, strategy, and execution of AI-driven decision systems, aiming to position the organization at the forefront of intelligent business analytics.

Requirements

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., LangChain, RAG).
Strong communication, storytelling, and customer engagement skills, with a passion for building solutions that are intuitive and impactful.

Nice To Haves

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.

Responsibilities

Pioneer the next generation of analytics and data driven decision-making.
Build and scale agentic AI frameworks, conversational analytics, and decision intelligence systems.
Design and execute a customer-centric analytics strategy powered by AI agents, LLMs, and generative AI.
Ensure insights are not just delivered, but acted upon.
Contribute to the vision, strategy, and own the execution of AI-driven decision systems.