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 $159k

$96k most similar roles pay here $220k

This listing doesn't post a salary. Most similar roles pay $126,800–$191,371.

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.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Senior Data Scientist

Role Posting Log in to save

Caremark LLC, a CVS Health company, seeks a Senior Data Scientist in Woonsocket, RI, with expertise in applying advanced mathematical and computational methods for data extraction and manipulation. This role involves developing sophisticated models using Python and JSON to interact with web service APIs on Google Cloud Platform, while also leveraging Power BI and Tableau for data visualization. The ideal candidate will have experience in big data implementation, machine learning operations such as model versioning and deployment, and quantitative analysis techniques including clustering and regression. The position requires a Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or related field, along with two years of relevant work experience, to address complex business challenges at scale within the healthcare industry.

Skills

Python Google Cloud Platform Power BI Tableau JSON Web Service APIs Machine learning operations Big Data implementation Git Quantitative analysis techniques

What you'll do

Develop and apply advanced mathematical models for data extraction and manipulation.
Implement machine learning operations including model versioning and deployment.
Utilize big data technologies for scalable quantitative analysis.
Create visualizations using Power BI and Tableau to communicate insights effectively.
Work with web service APIs and JSON for data integration and exchange.

What we're looking for

Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or related field required.
At least two years of experience in data extraction and manipulation using computational methods.
Proficiency in Python, JSON, and web service APIs.
Experience with Google Cloud Platform (GCP) and big data implementation.
Expertise in machine learning operations including model versioning and deployment.
Knowledge of quantitative analysis techniques such as clustering regression and pattern recognition.

Hybrid

Save