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

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

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Caremark, LLC., a CVS Health company, seeks a Senior Data Scientist to join its dynamic team in Woonsocket, RI, with telecommuting options. This role involves developing and deploying predictive models using Java, Python, or R within cloud environments like GCP, AWS, or Azure, and leveraging SAS or SQL for data analysis. The incumbent will design sophisticated data architectures, including pipelines and machine learning infrastructure, while ensuring compliance with healthcare data management standards and privacy regulations. Key responsibilities include quantitative analysis techniques such as clustering and regression, creating analytics-based platform capabilities, and utilizing visualization tools like PowerBI or Tableau to deliver actionable insights.

Skills

Python Java R SAS SQL PowerBI Tableau Machine learning Statistical analysis Predictive modeling GCP AWS Azure Oracle Data pipelines Distributed computing engines Quantitative analysis techniques Clustering Regression Pattern recognition Healthcare data management Data standards Interoperability Data privacy

What you'll do

Develop predictive models using Java, Python, or R.
Analyze data with SAS or SQL for business insights.
Create visualizations using PowerBI or Tableau tools.
Design cloud-based machine learning systems on GCP/AWS/Azure.
Manage healthcare data adhering to privacy and interoperability standards.
Build data architectures including pipelines and distributed computing engines.

What we're looking for

Master’s degree in Computer Science, Data Science, or related field required.
2 years of experience with Java, Python, or R programming languages.
2 years of experience using SAS or SQL for data analysis.
Expertise in machine learning, statistical analysis, and predictive modeling.
Experience developing and deploying ML systems in cloud environments (GCP, AWS).
Proficiency in designing data architectures and managing healthcare data processes.

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