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Lead Data ScientistAetna Resources, LLC, a CVS Health company, is hiring for the following role in New York., NY: Lead 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 dataoriented 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. Telecommuting available. Multiple Openings.Requirements: Master’s degree (or foreign equivalent) in Data Science, Analytics, Statistics, Mathematics, Computer Science, or a related field, and two (2) years of experience in the job offered or a related occupation. Requires two (2) years of experience in each of the following: machine learning, statistical analysis, and predictive modeling; Python; GIT; AWS; Hadoop and Hive; MySQL; programming in R; and analyzing large data sets from multiple data sources. Telecommuting available.

Minimum Salary: 132,250 Maximum Salary: 260,000 Salary Unit: Yearly