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# Sr. Data Scientist

- **Company:** CVS Health
- **Location:** North Haven, CT, United States (Remote available)
- **Experience:** Expert
- **Salary:** $101,970.0 - $203,940.0
- **Contract:** Internship / Graduate position
- **Skills:** Algorithm Design, Data Analysis, Big Data, Computer Programming, Data Mining, Data Systems, Data Visualization, Machine Learning, Information Technology
- **Published:** June 22, 2026
- **Apply:** https://dejobs.org/x/x/4B795F6F9A744551A3ED9A60CA44DA04/job/

## About the Role

interpret large volumes of data in various forms and solve complex business problems; support deployment of insights across multiple channels and work on mathematical analysis methods, machine learning, and statistical analyses. Telecommuting available. Multiple Positions.

Requirements: Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field and completion of a university-level course, research project, internship, thesis, or six (6) months of experience in each of the following:

 * Big Data, Smart (Semantic) Data, data modeling, and data visualization and applicability to health, education, public safety, or other public and private sectors;

 * Development of subroutines/codes/scripts;

 * Exploratory data analysis, including pre-processing, cleaning, and preliminary examination

## Description

Position Summary: Aetna Resources LLC, a CVS Health company, is hiring for the following role in Hartford, CT: Sr. Data Scientist to formulate and apply mathematical and computational modeling methods towards data extraction and manipulation. Duties include: design and develop data solutions using industry leading tools, technologies and best practices to profile data and develop efficient ingestion by sourcing data from PBM, Specialty, Retail, and/or HealthCare business; develop advanced algorithms and statistical predictive models to evaluate scenarios and provide usable information on health metrics and potential future outcomes; extract and manipulate data from multiple large data sources and deliver predictive models that inform solutions for in-house teams (i.e. pharmacy pricing, medical costs, risk scores, onboarding) and customer engagement across critical journeys (i.e. calories, heart rate, breast cancer, maternity); utilize strong programming skills to explore, analyze, and


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