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# Data Scientist

- **Company:** CVS Health
- **Location:** New York, NY, United States (Remote available)
- **Salary:** $173,040.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Algorithm Design, Data Analysis, Confluence, JIRA, Big Data, Computer Programming, Continuous Integration, Extract Transform Load (ETL), Data Mining, Data Systems, Python (Programming Language), Machine Learning, Productivity Software, Software Engineering, SQL Databases, Tableau (Software), Git, Information Technology, Data Analytics
- **Published:** June 22, 2026
- **Apply:** https://dejobs.org/x/x/8C5CE2AAEB71455BB8B8707C76DD371C/job/

## About the Role

Requirements: Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Statistics, Analytics, or a related field and one (1) year in the job offered or related occupation. Requires (1) year of experience in each of the following: CI/CD; GIT; Python; JIRA; Confluence; SQL; Tableau and statistical analysis; Contributing to applications development, data science, or data analytics; Extract/Transform/Load (ETL) processes; Designing data models and solutions for analytical and reporting use cases; and Agile productivity tools and leading incremental software releases.

## Description

Position Summary: Caremark LLC, a CVS Health company, is hiring for the following role in New York, NY: 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 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.


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