Senior Data Scientist – AI, Specialty Operations

CVS Health

Senior Data Scientist leveraging AI and analytics to solve complex business problems at CVS Health. Collaborating with stakeholders to drive measurable outcomes through data science initiatives.

Posted 5/31/2026full-timeNew York City • 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 across operational, financial, and clinical domains
Structures and leads advanced analytical and AI-driven approaches (e.g., predictive modeling, machine learning, optimization) to address high-impact business challenges
Partners closely with business stakeholders to understand objectives, constraints, and success metrics; translates these into scalable analytical solutions
Acts as an analytics product owner by defining problem statements, shaping solution approaches, prioritizing workstreams, and driving measurable business outcomes
Develops and delivers executive-ready presentations that clearly communicate technical findings to senior leadership and client-facing teams

Requirements

What you’ll need

3+ years of analytics experience independently driving end-to-end analyses and initiatives
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
other resources, based on eligibility

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

data analysispredictive modelingmachine learningoptimizationSQLPythonRdata visualizationanalytical solutionsend-to-end analyses

Soft Skills

problem solvingcommunicationstakeholder managementprioritizationpresentation skillsadaptabilitycollaborationtime managementcritical thinkingleadership