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CVS Health Data Scientist in New York, New York

Aetna Resources LLC, a CVS Health company, is hiring for the following role in New York, NY: Data Scientist to develop and implement analytics applications and models to transform data into meaningful information. 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. Multiple positions. See Required Qualifications:Master’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field and one (1) year of experience in each of the following: CI/CD, Jenkins, or GIT; Programming in R, Hadoop, or Python; XML, JSON, HTML, CSS, or JavaScript; REST, SOAP, or Web Service APIs; Writing clean, high quality, high performing, scalable code; Analyzing large data sets from multiple data sources; and Machine learning, statistical analysis, and predictive modeling.Multiple openings. Apply at http://jobs.cvshealth.com/. OR by email: istappintake@cvshealth.com. Must reference job title, location, and Req ID when applying. Requisition ID: R0242596.

Minimum Salary: 108306 Maximum Salary: 170000 Salary Unit: Yearly

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