Senior 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 $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

This position involves working as a Senior Data Scientist on a team dedicated to developing advanced analytics solutions for large-scale healthcare projects. The role entails daily tasks such as programming in Java, Python, or R, conducting machine learning and statistical analysis, contributing to data science initiatives, and implementing supervised and unsupervised learning models. Candidates must have experience with SAS and SQL, feature engineering, model training, hyperparameter tuning, and distributed model training on extensive datasets. The ideal candidate will possess a Master’s degree in Computer Science, Data Science, Statistics, Engineering, Analytics, or a related field, along with two years of hands-on experience in the specified technical areas within the healthcare sector.

What you'll do

  • Develop machine learning models using Java, Python, or R.
  • Conduct statistical analysis and predictive modeling on large datasets.
  • Implement feature engineering and hyperparameter tuning for models.
  • Contribute to the development of large-scale data science applications.
  • Apply quantitative techniques like clustering and regression in projects.

What we're looking for

  • Master’s degree in Computer Science, Data Science, Statistics, Engineering, or Analytics.
  • 2 years of experience in Java, Python, or R programming.
  • 2 years of experience with SAS and SQL for data analysis.
  • 2 years specializing in machine learning, statistical analysis, and predictive modeling.
  • Experience contributing to large-scale applications development projects.
  • Expertise in feature engineering, model training, and distributed model training.
  • Proficiency in quantitative analysis techniques like clustering and regression.

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