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# Decision Scientist - Utilization Management

- **Company:** CVS Health
- **Location:** United States (Remote available)
- **Salary:** $86,520.0 - $173,040.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, BigQuery, Computer Programming, Information Engineering, Data Structures, Data Visualization, Python (Programming Language), Standard Sql, Unstructured Data, Google Cloud, Information Technology
- **Published:** September 24, 2026
- **Apply:** https://dejobs.org/x/x/33DBFBFA7DA64F0BB47E3BF0476C18B5/job/

## About the Role

* 1+ years of relevant analytic experience
 * Experience in SQL
 * Experience programming using R or Python

Preferred Qualifications

 * Experience with Google Cloud Platform, big query, and other tools in cloud
 * Demonstrates good written and verbal communication skills. Able to present information to various audiences
 * Effectively resolves problems and roadblocks as they occur
 * Demonstrates interests in several areas of statistical analysis, data engineering and data visualization
 * Ability to work with large data sets from multiple data sources, * Bachelor's degree or equivalent work experience in Business Analytics, Economics, Physics, Engineering, Mathematics, Statistics, Computer Science, or related discipline.

## Description

At CVS/Aetna, we're pioneering a total approach to health and wellness. As a Decision Scientist on the Analytics & Behavior Change team, you'll build industry-leading analytics, data, and technology platforms to help reimagine health care. This position will play a critical role within a cross-functional team, delivering powerful solutions.

Utilization Management (UM) ensures consistent delivery of the right care, in the right setting, by the right people. The UM Data Science team leverage data, analytics and AI solutions to transform UM operations and optimize provider and member experience.

 * Develop analytic solutions to optimize Utilization Management in healthcare
 * Explores, examines and interprets large volumes of data in various forms
 * Performs analyses of structured and unstructured data to solve moderately complex business problems
 * Utilizing advanced statistical techniques and mathematical analyses
 * Develops data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs
 * Uses data visualization techniques to effectively communicate analytical results and support business decisions
 * Creates and evaluates the data needs of assigned projects and assures the integrity of the data
 * Explores existing data and recommends additional sources of data for improvements
 * Documents projects including business objectives, data gathering and processing, detailed set of results and analytical metrics


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