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 $156k

$87k most similar roles pay here $213k

This listing doesn't post a salary. Most similar roles pay $126,800–$185,650.

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 · Data Scientist

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Caremark, LLC., a CVS Health company, seeks experienced Data Scientists in Woonsocket, RI, with the opportunity for telecommuting. Ideal candidates will develop and implement analytics applications and models to transform healthcare data into actionable insights. Day-to-day responsibilities include analyzing large datasets using traditional database technologies such as Oracle, Teradata, or DB2, while adhering to Agile methodologies or SAFe Software Development Principles. Candidates should possess a Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, Engineering, or a related field and five years of relevant experience. The role involves supporting healthcare organizations with complex data challenges at scale, requiring strong analytical skills and expertise in statistical modeling and machine learning.

Skills

Oracle Teradata DB2 Python R SQL Agile SAFe DataAnalysis HealthcareData RetailData CloudServices JupyterNotebook Tableau PowerBI

What you'll do

Analyze large healthcare data sets to extract meaningful insights.
Develop analytics applications for transforming raw data into actionable information.
Support healthcare domain projects with advanced analytical techniques.
Utilize traditional database technologies like Oracle and Teradata effectively.
Apply Agile methodologies in software development processes.

What we're looking for

Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, Engineering, or related field.
5+ years of progressive experience in data analysis on large datasets in healthcare, business, or retail sectors.
Experience supporting healthcare or retail organizations with domain expertise.
Proficiency in traditional database technologies such as Oracle, Teradata, and DB2.
Knowledge of Agile methodologies or SAFe Software Development Principles.

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