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

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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.

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At a glance

TL;DR · Senior Data Scientist

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Aetna Resources, LLC, a CVS Health company, seeks a Senior Data Scientist in Woonsocket, RI, to develop and implement analytics applications and models that transform data into actionable insights. The role involves designing and developing data solutions using industry-leading tools and technologies to profile and ingest data from various business units including PBM, Specialty, Retail, and Healthcare. Responsibilities include creating advanced algorithms and predictive models for health metrics analysis, utilizing data mining, natural language processing, and machine learning techniques to extract meaningful information from large datasets. The ideal candidate will have expertise in Python, R, SQL, Spark NLP, PySpark, and traditional relational database management systems like Oracle, MySQL, or IBM DB2, with a strong background in statistical analysis and predictive modeling for healthcare research. This position offers the opportunity to support deployment of insights across multiple channels, addressing complex business challenges within the health industry.

Skills

Python R SQL Spark PySpark Machine learning Statistical analysis Predictive modeling Oracle MySQL IBM DB2 NLP Data mining Data modeling Visualization software

What you'll do

Design and develop advanced data solutions using industry tools and best practices.
Develop predictive models and algorithms for evaluating health scenarios and outcomes.
Extract and manipulate large datasets from multiple sources using NLP and machine learning.
Utilize programming languages like Python, R, SQL to analyze complex business problems.
Visualize and interpret data to create reports and compare model performance metrics.
Support deployment of insights across channels through analysis methods and statistical analyses.

What we're looking for

Master’s degree in Computer Science, Data Science, Business Analytics, Statistics, Mathematics, or related field required.
18 months of experience with Python, R, and SQL programming.
18 months of experience in machine learning, statistical analysis, and predictive modeling.
18 months of experience in analytics for marketing, clinical trials, or healthcare research.
18 months of experience designing data models and solutions for analytical use cases.
18 months of experience analyzing large datasets from multiple sources using NLP and PySpark.
Experience with traditional relational database management systems like Oracle, MySQL, or IBM DB2.