Senior Data Scientist – AI, Specialty Operations

CVS Health

Senior Data Scientist at CVS Health utilizing AI-driven approaches to solve complex business challenges. Leading and structuring analytics projects while collaborating with stakeholders across multiple domains.

Posted 4/22/2026full-timeRemote • New York • 🇺🇸 United StatesSenior💰 $101,970 - $222,480 per yearWebsite

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

medical, dental, and vision coverage
paid time off
retirement savings options
wellness programs
comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

predictive modelingmachine learningoptimizationforecastingstatistical methodsdata analysisdata modelingprogramming in Pythonprogramming in RSQL

Soft Skills

problem solvingstakeholder alignmentinfluencing decision-makingconsulting skillscommunication skillsprioritizationproactive problem identificationcross-functional collaborationpresentation skillstime management