Senior Data Scientist - Supply Chain

CVS Health

2d

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Primary Job Duties & Responsibilities Designs systems that utilize data-oriented programming languages and visualization software to explore, analyze, and interpret large volumes of data in various forms and solve complex business problems. Defines data science initiatives by utilizing data mining, data modeling, natural language processing, and machine learning techniques to extract data from multiple sources and deliver predictive models that inform solutions. Designs and develops data solutions that meet client requirements and organizational quality standards by leveraging industry-leading tools, technologies, and best practices to profile and translate data. Applies data science expertise and machine learning knowledge to improve patient care capabilities, optimize healthcare operations, and drive evidence-based decision-making. Develops and implements analytical frameworks, key metrics, and performance dashboards to monitor, measure, and evaluate healthcare quality, efficiency, and performance. Collaborates with stakeholders across the organization, including executives, clinicians, Information Technology (IT) professionals, and business analysts, to understand their needs and provide data-driven solutions. Delivers presentations and consultative services to existing and prospective constituents on data analytics results and solutions. Improves professional data science knowledge by staying up to date on innovative data analysis techniques, visualization tools and software, and object-oriented programming languages. Helps establish and implement programs that ensure departmental adherence to all applicable data governance policies and procedures by educating team members on data science best practices. Senior data scientist with a strong analytical background and expertise in analytics, matching learning modeling and AI development.

Requirements

• 5+ 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.
• 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.
• 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.

Responsibilities

• Designs systems that utilize data-oriented programming languages and visualization software to explore, analyze, and interpret large volumes of data in various forms and solve complex business problems.
• Defines data science initiatives by utilizing data mining, data modeling, natural language processing, and machine learning techniques to extract data from multiple sources and deliver predictive models that inform solutions.
• Designs and develops data solutions that meet client requirements and organizational quality standards by leveraging industry-leading tools, technologies, and best practices to profile and translate data.
• Applies data science expertise and machine learning knowledge to improve patient care capabilities, optimize healthcare operations, and drive evidence-based decision-making.
• Develops and implements analytical frameworks, key metrics, and performance dashboards to monitor, measure, and evaluate healthcare quality, efficiency, and performance.
• Collaborates with stakeholders across the organization, including executives, clinicians, Information Technology (IT) professionals, and business analysts, to understand their needs and provide data-driven solutions.
• Delivers presentations and consultative services to existing and prospective constituents on data analytics results and solutions.
• Improves professional data science knowledge by staying up to date on innovative data analysis techniques, visualization tools and software, and object-oriented programming languages.
• Helps establish and implement programs that ensure departmental adherence to all applicable data governance policies and procedures by educating team members on data science best practices.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees