Senior Data Scientist

CVS Health

Remote

Quick summary

Work type
Remote
Location
Remote
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

Data Scientist position available for candidates with a Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, Business Analytics, or related field and at least two years of relevant experience. This role involves formulating and applying mathematical and computational modeling methods to extract and manipulate data within an agile development environment. Day-to-day responsibilities include developing predictive models using machine learning systems on cloud platforms like GCP, AWS, or Azure, supporting large-scale data initiatives, and utilizing tools such as JIRA, Rally, Confluence, PowerBI, Tableau, and SQL for project management and visualization. Candidates should be proficient in statistical analysis, NLP libraries (Scikit-Learn, SpaCy, PyTorch, Spark NLP), CI/CD practices, and DevOps methodologies to drive technology modernization within a dynamic team setting.

What you'll do

  • Develop and deploy predictive models in cloud environments using GCP, AWS, or Azure.
  • Extract and manipulate complex datasets to support large-scale data initiatives.
  • Apply statistical analysis and predictive modeling techniques to business problems.
  • Utilize visualization tools like PowerBI and Tableau for data presentation.
  • Implement machine learning systems leveraging NLP frameworks such as Scikit-Learn and Pytorch.

What we're looking for

  • Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, Business Analytics, or related field.
  • 2 years of experience in data extraction, manipulation, and predictive modeling.
  • Expertise in CI/CD, GIT, DevOps, JIRA, Rally, Confluence, and SQL.
  • Experience developing and deploying ML systems in cloud environments (GCP, AWS, Azure).
  • Proficiency in JSON, NLP frameworks (Scikit-Learn, SpaCy, PyTorch, Spark NLP), and visualization tools like PowerBI and Tableau.

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