Hybrid Senior Decision Scientist – Interconnected AI Insights

at CVS Health

• Job title: Senior Decision Scientist – Interconnected AI Insights
• Job type: Full Time
• Experience level: Senior
• Salary: $101,970 - $222,480 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python, SQL, Tableau
• Location requirements: Hybrid, Woonsocket, United States

About the role

• Senior Decision Scientist advancing next-generation business intelligence through AI frameworks and analytics strategies at CVS Health. Collaborating across teams to deliver impactful data-driven solutions for the retail sector.

Responsibilities

• Drive the next generation of business intelligence by spearheading agentic AI frameworks, conversational analytics, and decision intelligence systems that transform how our organization leverages data.
• Develop and execute analytics strategies harnessing AI agents, LLMs, and generative AI to ensure insights lead directly to impactful action across the business.
• Play a key role in advancing a Business Intelligence Center of Excellence for the retail supply chain, championing best practices and enabling innovative multi-agent frameworks to unlock new levels of operational and strategic value.
• Build models that translate and simplify ambiguous business challenges into logical, actionable frameworks, directly informing both operational and strategic decisions to advance short- and long-term business objectives.
• Shape the vision and execution of AI-driven decision systems, mentor junior team members, and work closely with business partners to understand their goals, develop predictive models, perform statistical analyses, and deliver impactful data-driven solutions.

Requirements

• 3+ years of hands-on experience in advanced analytics, decision science, or applied AI/ML
• Demonstrated ability to independently solve complex problems and reimagine existing solutions
• Strong programming skills in Python and SQL, including experience deploying AI systems in production
• Proven track record of translating advanced AI concepts into measurable business impact, securing stakeholder alignment, and sizing business value
• Experience leading end-to-end AI-driven solution delivery, from data foundation through model orchestration to front-end adoption
• Experience designing and building AI-powered frameworks embedded with BI to explain metric movements, detect anomalies, identify key drivers, and simulate business scenarios
• Proven ability to partner with BI and business teams to formalize metric definitions, clarify explainable dependencies and assumptions, and ensure AI outputs align with established business logic
• Practical expertise with LLMs, generative AI, or conversational AI frameworks (such as LangChain, RAG)
• Exceptional communication, storytelling, and customer engagement skills, with a passion for building intuitive, impactful solutions
• Experience in the retail supply chain sector
• Expertise with BI tools (Tableau, ThoughtSpot, Looker, Power BI) and analytics engineering environments (e.g., Snowflake, modern data warehouses)
• Experience with UI/UX design, customer journey mapping, and design thinking (Figma proficiency a plus)
• Experience implementing agentic AI systems for conversational analytics, autonomous reporting, or decision support
• Expertise in designing and implementing measurement and impact frameworks to quantify the business value and adoption of BI tools and agentic AI insights—even when outcomes are difficult to measure
• Demonstrated product mindset in AI product development—focused on user needs, iterative experimentation, cross-functional collaboration, and delivering actionable value from concept to deployment.

Benefits

• Affordable medical plan options
• 401(k) plan (including matching company contributions)
• 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.