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 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 · Decision Scientist

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Aetna Resources, LLC., a CVS Health company, seeks a Decision Scientist to collaborate with internal clients in identifying opportunities for data science solutions that address business challenges by transforming complex data into actionable insights. This role involves applying advanced techniques such as data mining, machine learning, and statistical analysis to large datasets from various sources, utilizing programming languages like R, Python, and SQL to develop predictive models and visualizations. The Decision Scientist will work closely with cross-functional teams to understand requirements, recommend improvements based on performance metrics, and communicate findings effectively to leadership and stakeholders. This position requires expertise in product management within a large organization, experience in healthcare or retail data analysis, and the ability to balance business strategy with technical considerations in a big data environment.

Skills

Python R SQL Machine Learning Statistical Analysis Predictive Modeling Data Mining Data Modeling Docker Kubernetes AWS CI/CD PostgreSQL Visualization Software Prometheus Grafana

What you'll do

Apply data mining and machine learning techniques to extract insights from large healthcare datasets.
Develop predictive models using statistical analysis to inform business decisions and health metric outcomes.
Visualize complex data findings and communicate them effectively to internal clients and leadership.
Recommend improvements in modeling techniques based on performance metrics for better solutions.
Design data science solutions using industry-leading tools, considering both technical and strategic aspects.

What we're looking for

Experience in data mining, modeling, machine learning, and statistical analyses.
Proficiency in R, Python, SQL for data exploration and analysis.
Ability to develop predictive models and interpret large datasets.
Strong communication skills to report findings to stakeholders.
Background in healthcare or business analytics with product management experience.
Expertise in visualizing data insights using advanced software tools.

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