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# Decision Scientist

- **Company:** CVS Health
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $98,571.0 - $144,200.0
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, Big Data, Data Mining, Data Visualization, Python (Programming Language), Machine Learning, Power BI, DataOps, SAS (Software), SQL Databases, Tableau (Software), Information Technology, Programming Languages
- **Published:** June 22, 2026
- **Apply:** https://dejobs.org/x/x/EBD9D26EBE824569855F6B73587C5778/job/

## About the Role

Requirements: Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field and two (2) years of experience in the job offered or related occupation. Requires two (2) years of experience in each of the following:

 * Data analysis for on large data sets in healthcare, business, or retail sector;

 * Developing analytics-based platform capabilities, services or products;

 * Machine learning, statistical analysis, or predictive modeling;

 * R, Python, or SQL;

 * SAS or SQL programming languages

 * Visualization tools, including PowerBI or Tableau;

 * Designing data models and solutions for analytical and reporting use cases;

 * End-to-end data science lifecycle/workflow;

 * Product management in a large, matrixed organization with many internal partners; and

 * Supporting large data, analytics, and technology modernization initiatives.

## Description

Position Summary: Aetna Resources, LLC., a CVS Health company, is hiring for the following role in Woonsocket, RI: Decision Scientist to consult with internal clients to identify opportunities to develop and implement data science solutions to business problems by transforming data into meaningful information. Duties include: apply data mining, data modeling, machine learning, statistical analyses, and predictive and descriptive modeling to extract and manipulate data from multiple large data sources and inform solutions for data science teams; utilize data-oriented programming languages and visualization software to explore, analyze, and interpret large volumes of data and effectively communicate insights to inform business decisions; compare modeling techniques using statistical performance metrics and recommend improvements; structure data analysis to drive analytics insights and help data scientists determine the best analytical solutions; visualize, interpret, and report data findings
to internal clients and leadership; collaborate with business partners to understand requirements and develop statistical analysis and predictive models to evaluate scenarios, predict outcomes, and provide usable information on health metrics and potential future outcomes; design and develop data science solutions using industry leading tools, technologies and best practices; and consult on the creation of analytics solutions that effectively weigh business strategy and technical tradeoffs relevant to big data environment. Telecommuting available. Multiple positions.


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