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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, predict outcomes, and provide usable information on health metrics and potential future outcomes; utilize data mining, data modeling, natural language processing, and machine learning to 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 data-oriented programming languages and visualization software to explore, analyze, and interpret large volumes of data in various forms and solve complex business problems; visualize and interpret data and create reports, manipulate data using statistical software, and compare models using statistical performance metrics; and support deployment of insights across multiple channels using analysis methods, machine learning, and statistical analyses. Multiple positions.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, or thesis in each of the following: High-frequency data analysis and numerical methods; Machine learning, statistical analysis, and predictive modeling; developing probabilistic tools for modeling and analyzing security markets; R, Python, or SQL; Designing data models and solutions for analytical and reporting use cases; Statistical methods used in quantitative finance; Regression analysis and applications to various pricing models; and Developing techniques and estimation of yield curves statistical methods for financial time series and risk value.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: R0270170.

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

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