Data Scientist

CVS Health

Remote

Quick summary

Work type: Remote
Location: Remote
Posted: 6 days ago
Closes: Jul 6, 2026

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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 expertise in developing and implementing analytics applications and models to transform data into actionable insights for the healthcare sector. This role involves programming in Java, Python, or R, working with databases like Oracle and MySQL, and utilizing tools such as PowerBI for visualization. The ideal candidate will have experience in machine learning, statistical analysis, predictive modeling, and natural language processing using frameworks like Scikit-Learn and Pytorch. Responsibilities include contributing to large-scale data science projects, feature engineering, model training, hyperparameter tuning, and implementing supervised and unsupervised learning techniques on extensive datasets.

Skills

Python Java R Oracle MySQL SAS SQL PowerBI NLP Scikit-Learn Spacy Pytorch Spark NLP Machine learning Statistical analysis Predictive modeling Feature engineering Distributed model training Supervised and unsupervised learning

What you'll do

Develop and implement analytics applications using Java, Python, or R.
Perform statistical analysis and predictive modeling on large datasets.
Utilize machine learning techniques for supervised and unsupervised learning.
Contribute to the development of large-scale data science projects.
Apply quantitative analysis techniques such as clustering and regression.
Engineer features and tune hyperparameters for model optimization.
Visualize complex data using tools like PowerBI.

What we're looking for

Master’s degree in Computer Science, Data Science, or related field required.
One year of experience in programming with Java, Python, or R.
Experience with XML, JSON, HTML, CSS, and JavaScript.
Proficiency in Oracle, MySQL, SAS, and SQL programming languages.
Expertise in machine learning, statistical analysis, and predictive modeling.
Knowledge of NLP tools like Scikit-Learn, SpaCy, Pytorch, Spark NLP.
Experience with large-scale data analytics projects in healthcare or business.