Decision 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 $164k

$108k most similar roles pay here $232k

This listing doesn't post a salary. Most similar roles pay $127,703–$199,850.

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 · Decision Scientist

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Caremark LLC, a CVS Health company, seeks a Decision Scientist in Woonsocket, RI, to collaborate with internal clients on identifying opportunities for data science solutions that address business challenges by transforming complex datasets into actionable insights. This role involves applying advanced techniques such as data mining, machine learning, and predictive modeling to extract meaningful information from large-scale healthcare data sources. The ideal candidate will utilize programming languages like Python or R alongside visualization tools to analyze vast amounts of data, recommend improvements based on statistical performance metrics, and communicate findings effectively to stakeholders. Responsibilities also include designing end-to-end data science solutions using industry-leading technologies such as Hadoop, Spark, and cloud platforms while balancing business strategy with technical feasibility in a big data environment.

Skills

Python SQL R Hadoop Spark AWS Azure GCP Machine Learning Data Mining Statistical Analysis Predictive Modeling Distributed Computing MLOps CI/CD Visualization Tools Big Data Platforms Data Warehousing Cloud Services

What you'll do

Apply data mining and modeling techniques to extract insights from large healthcare datasets.
Develop predictive models using statistical analysis to inform business decisions in health metrics.
Recommend improvements based on performance metrics of various modeling techniques.
Visualize complex data findings and communicate them effectively to internal clients and leadership.
Design and implement data science solutions using industry-leading tools and best practices.

What we're looking for

Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, Information Systems, or related field
2+ years of experience in data analytics on large datasets in healthcare, business, or retail sectors
Proficiency with big data platforms like Hadoop and cloud services (Azure, GCP, AWS)
Experience with large-scale Spark, Data Warehouse, and Big Data implementation
Expertise in designing data architectures including pipelines, distributed computing engines, and machine learning infrastructure
Strong skills in the end-to-end data science lifecycle, from modeling to visualization

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