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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.
Job Responsibility
Independently solves complex, ambiguous business problems and brings new perspectives to existing solutions across operational, financial, and clinical domains
Structures and leads advanced analytical and AI-driven approaches (e.g., predictive modeling, machine learning, optimization, forecasting, and emerging AI applications) to address high-impact business challenges
Partners closely with business stakeholders to understand objectives, constraints, and success metrics
translates these into scalable analytical solutions and actionable recommendations
Acts as an analytics product owner by defining problem statements, shaping solution approaches, prioritizing workstreams, and driving measurable business outcomes
Leads development of moderately complex solutions with meaningful business risk and visibility, ensuring rigor, explainability, and operational scalability
Develops and delivers executive-ready presentations that clearly communicate technical findings, trade-offs, and recommendations to senior leadership and client-facing teams
Applies strong knowledge of statistical methods, machine learning algorithms, and AI techniques to detect patterns, assess risk, and generate business insights
Uses advanced programming skills to explore, transform, and analyze large and complex datasets from multiple internal and external sources
Demonstrates strong consulting skills, including proactive problem identification, stakeholder alignment, and the ability to influence decision-making in cross-functional environments
Requirements
3+ years of analytics experience independently driving end-to-end analyses and initiatives with demonstrated business impact
3+ years of data science experience, preferably in consulting or highly cross-functional environments
Experience in SQL and data visualization tools (e.g., Tableau or similar BI platforms)
Experience programming in Python and/or R for data analysis, modeling, and solution development
Proven ability to communicate complex technical concepts clearly to non-technical audiences
Demonstrated ability to manage multiple priorities and deliver high-quality work in fast-paced, evolving environments
Nice to have
Strong knowledge of advanced analytics and AI techniques, including predictive modeling, machine learning, forecasting, optimization, and experimentation methodologies
Experience working with large, multi-source datasets in healthcare, pharmacy, or other regulated industries
Experience designing scalable analytical solutions that move from prototype to production
Anticipates risks, identifies roadblocks early, and proactively proposes mitigation strategies
Demonstrates executive presence and the ability to influence senior stakeholders and client-facing teams
Demonstrates depth in one or more specialized areas (e.g., forecasting, causal inference, NLP, AI applications, risk modeling) while maintaining broad applied data science capability