Senior AI Data Scientist - Operations & Analytics (Remote)

CVS Health Corporation; New York (NY); Hybrid; USD 101,970 - 222,480; Full time

Job summary

CVS Health Corporation is seeking a Senior Data Scientist to design AI-driven analytics for Specialty Operations. The role partners with business units to translate objectives into scalable models and actionable insights, with a focus on risk, forecasting, and optimization.

The position requires 3+ years in data science, strong SQL and Python/R skills, and the ability to communicate complex results to executives. This remote/hybrid role offers a competitive package and comprehensive benefits.

Qualifications

• 3+ years of analytics experience driving end-to-end analyses with business impact.
• 3+ years of data science experience, preferably in consulting or cross-functional environments.
• Experience in SQL and data visualization tools.
• Experience programming in Python and/or R for data analysis and modeling.
• Proven ability to communicate complex technical concepts to non-technical audiences.
• Ability to manage multiple priorities in fast-paced environments.

Responsibilities

• Independently solves complex, ambiguous business problems and brings new perspectives.
• Structures and leads AI-driven approaches to address high-impact challenges.
• Partners with stakeholders to translate objectives into scalable analytical solutions.
• Acts as analytics product owner, defining problems and driving measurable outcomes.
• Leads development of moderately complex solutions with business risk and visibility.
• Delivers executive-ready presentations communicating findings to senior leadership.

Skills

SQL

Python

R

Communication

Stakeholder management

Education

Bachelor's degree

Master’s degree or PhD preferred

Tools

Tableau

Job description

CVS Health Corporation is seeking a Senior Data Scientist to design AI-driven analytics for Specialty Operations. The role partners with business units to translate objectives into scalable models and actionable insights, with a focus on risk, forecasting, and optimization.

The position requires 3+ years in data science, strong SQL and Python/R skills, and the ability to communicate complex results to executives. This remote/hybrid role offers a competitive package and comprehensive benefits.