Senior Data Scientist

CVS Health

Remote

Quick summary

Work type: Remote
Location: Woonsocket, RI
Posted: 6 days ago
Closes: Jul 6, 2026
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $162k

$98k most similar roles pay here $229k

This listing doesn't post a salary. Most similar roles pay $126,800–$198,000.

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 · Senior Data Scientist

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We are seeking a Data Scientist with a Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or Analytics to join our team. This role involves formulating and applying mathematical and computational methods for data extraction and manipulation, focusing on large datasets within the healthcare, business, or retail sectors. Day-to-day responsibilities include programming in R, Python, or Hadoop, using SAS or SQL, creating visualizations with PowerBI or Tableau, designing ETL processes, developing predictive models, and deploying machine learning systems in cloud environments like GCP, AWS, or Azure. The ideal candidate will have experience in the end-to-end data science lifecycle and possess strong skills in data analytics and model deployment.

Skills

Python R Hadoop SAS SQL PowerBI Tableau GCP AWS Azure ETL ML

What you'll do

Develop and apply mathematical and computational models for data extraction and manipulation.
Design data models and solutions for analytical and reporting use cases in healthcare or business sectors.
Perform data analytics on large datasets using programming languages like Python, R, SAS, or SQL.
Implement ETL processes to manage data flow and quality.
Deploy predictive models and machine learning systems in cloud environments such as AWS or Azure.
Utilize visualization tools like PowerBI or Tableau for data presentation.

What we're looking for

Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or related field required.
Experience with programming languages R, Python, Hadoop, SAS, and SQL.
Proficiency in data visualization tools like PowerBI and Tableau.
Expertise in data analytics on large datasets in healthcare, business, or retail sectors.
Knowledge of ETL processes and designing data models for analytical use cases.
Ability to develop and deploy predictive models and ML systems in cloud environments.
Understanding of the end-to-end data science lifecycle and workflow.

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