Hybrid Senior Data Scientist – AI

at CVS Health

• Job title: Senior Data Scientist – AI
• 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, New York City, United States

About the role

• Data Scientist at CVS Health independently solving complex business problems across various domains. Leading AI-driven approaches and collaborating with stakeholders for impactful solutions.

Responsibilities

• 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

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
• 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