Data Scientist

CVS Health

Remote

Quick summary

Work type: Remote
Location: Remote
Posted: 5 days ago
Closes: Jul 6, 2026

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Salary context

How this pay compares to similar roles

Similar $156k

$87k most similar roles pay here $213k

This listing doesn't post a salary. Most similar roles pay $126,800–$185,650.

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 · Data Scientist

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Caremark, LLC., a CVS Health company, seeks a Data Scientist in Woonsocket, RI, with expertise in applying mathematical and computational methods to healthcare data. This role involves formulating models for data extraction and manipulation using Python, Spark, SQL, or R, alongside machine learning and predictive modeling techniques. The ideal candidate will have experience with big data platforms like Hadoop on Azure, GCP, or AWS, as well as proficiency in SAS or SQL programming languages and visualization tools such as PowerBI or Tableau. Responsibilities include writing high-quality, scalable code, conducting thorough testing and quality assurance, and troubleshooting complex issues within a large-scale healthcare environment.

Skills

Python Spark SQL R SAS Hadoop Azure GCP AWS PowerBI Tableau Machine learning Statistical analysis Predictive modeling CI/CD

What you'll do

Develop mathematical models for healthcare data analysis.
Write high-quality code in Python, Spark, SQL, or R for data manipulation.
Perform machine learning and predictive modeling on large datasets.
Conduct statistical analyses using SAS or SQL programming languages.
Troubleshoot and ensure quality assurance of data processing systems.
Utilize big data platforms like Hadoop on Azure, GCP, or AWS.
Create visualizations with tools such as PowerBI or Tableau.

What we're looking for

Master’s degree in Analytics, Computer Science, Data Science, Statistics, Mathematics, or related field required.
Six months of experience writing clean, high-quality, scalable code and conducting testing and troubleshooting.
Experience with Python, Spark, SQL, and R for data manipulation and analysis.
Proficiency in machine learning, statistical analysis, and predictive modeling techniques.
Knowledge of SAS or SQL programming languages and big data platforms like Hadoop on Azure, GCP, or AWS.

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