Senior Data Scientist, Utilization Management

CVS Health

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $101,970–$222,480 / yr
Posted: 3 days ago
Closes: Aug 31, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $177k

This role $162k

$87k most similar roles pay here $240k

This role pays less than 55% of similar roles. Most pay $145,200–$208,800 — the shaded band above. At the midpoint, this role pays about $162k versus about $177k for comparable roles.

Based on 240 similar postings.

Employer

About CVS Health

CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy

CVS Health currently has 409 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 135 roles with salary data.

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View all roles at CVS Health

At a glance

TL;DR · Senior Data Scientist, Utilization Management

Role Posting Log in to save

As a Data Scientist on the Utilization Management (UM) team at CVS/Aetna, you will collaborate with business partners to develop predictive models and statistical analyses that address critical health care priorities. You will lead an analytics workstream, managing other analysts and data scientists to create comprehensive analytical products from end to end. With expertise in algorithms and predictive modeling, you will analyze structured and unstructured data to optimize UM operations and enhance the provider and member experience. The role requires strong programming skills in R or Python, proficiency in SQL, and a deep understanding of advanced analytics tools and languages for large-scale data analysis. Ideal candidates have a background in Mathematics, Statistics, Computer Science, or related fields, with hands-on experience in machine learning, statistical analyses, and generative AI technologies.

Skills

Python R SQL Machine Learning Statistical Analysis Predictive Modeling LLMs Generative AI AWS Kubernetes CI/CD

What you'll do

Leads the development of predictive models and statistical analyses to address business priorities.
Manages an analytics workstream, guiding analysts and data scientists in creating comprehensive analytical products.
Proposes innovative solutions by applying advanced algorithms and predictive modeling techniques.
Conducts complex data analysis on structured and unstructured datasets using sophisticated statistical methods.
Presents analytics results and solutions to stakeholders through effective consultations and presentations.
Utilizes programming skills with R or Python to explore, analyze, and interpret large-scale data sets.

What we're looking for

3+ years of relevant analytic experience in data science or a related field.
Proficient in programming languages such as R and Python for data analysis.
Strong SQL skills to manage and analyze structured data effectively.
Experience with advanced analytics tools and techniques for large datasets.
Demonstrated expertise in mathematical analysis, machine learning, and predictive modeling.
Ability to communicate technical concepts clearly to non-technical stakeholders.
Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field.

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