Principal Data Scientist

CVS Health

Remote

Quick summary

Work type
Remote
Location
Woonsocket, RI
Posted
6 days ago
Closes
Jul 6, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $165k
$105k most similar roles pay here $232k

This listing doesn't post a salary. Most similar roles pay $129,501–$200,050.

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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At a glance

TL;DR · Principal Data Scientist

Aetna Resources LLC, a CVS Health company, seeks a Principal Data Scientist in Woonsocket, RI, with telecommuting options available. This role involves developing and implementing analytics applications and models to transform healthcare data into actionable insights for business decision-making. The ideal candidate will have extensive experience in data analytics on large datasets within the healthcare sector, utilizing tools such as Hadoop, Hive, R, Python, SQL, SAS, PowerBI, and Tableau. Responsibilities include designing data models and solutions for analytical and reporting use cases, conducting machine learning, statistical analysis, and predictive modeling to address complex business challenges at scale.

What you'll do

  • Develop analytics applications and models to transform healthcare data into actionable insights.
  • Conduct machine learning and predictive modeling for business intelligence in the healthcare sector.
  • Design data models and solutions using Hadoop, Hive, R, Python, or SQL.
  • Utilize SAS or SQL programming languages to analyze large datasets efficiently.
  • Create visualizations with tools like PowerBI or Tableau to communicate findings effectively.

What we're looking for

  • Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or related field required.
  • Four years of experience in data analytics on large healthcare, business, or retail datasets.
  • Three years of experience with machine learning, statistical analysis, and predictive modeling.
  • Proficiency in Hadoop, Hive, R, Python, SQL, SAS, and visualization tools like PowerBI or Tableau.
  • Experience designing data models and solutions for analytical and reporting use cases.

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