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 407 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 133 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 a Data Scientist in Woonsocket, RI, with the opportunity for telecommuting. This role involves developing and implementing analytics applications and models to transform data into actionable insights within a large-scale healthcare environment. Day-to-day responsibilities include programming in R, Python, or SQL, applying machine learning techniques such as Scikit-Learn, SpaCy, PyTorch, and Spark NLP, managing cloud components like Kubernetes and containerized services, and working with big data technologies including Apache Spark and Data Warehouses. The ideal candidate holds a Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, Information Systems, or a related field, along with one year of relevant experience.

Skills

Python R Hadoop SQL Scikit-Learn Spacy Pytorch Spark NLP Kubernetes Cloud Storage Data Warehouse Apache Spark Big Data

What you'll do

Develop and implement analytics applications using R, Python, or SQL.
Create machine learning models with Scikit-Learn, Pytorch, or Spark NLP.
Manage cloud components like Kubernetes for containerized services.
Implement large-scale data solutions with Apache Spark or Data Warehouses.
Transform complex datasets into actionable insights for business decisions.

What we're looking for

Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, Information Systems, or related field required.
At least one year of experience in data analytics applications and models development.
Proficiency in R, Python, SQL for data manipulation and analysis.
Experience with machine learning frameworks like Scikit-Learn, Pytorch, and NLP tools such as SpaCy, Spark NLP.
Expertise in cloud technologies including Kubernetes, cluster management, and containerized services.
Strong background in large-scale data processing using Apache Spark or similar big data solutions.