Senior Data ScientistCaremark LLC, a CVS Health company, is hiring for the following role in New York, NY: Senior Data Scientist to develop and implement analytics applications and models to transform data into meaningful information. Duties include: leverage data science and engineering techniques to design and develop data solutions; utilize 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, advanced data engineering principles, 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 Openings. Telecommuting available.Requirements: Master’s degree (or foreign equivalent) in Data Science, Analytics, Mathematics, Computer Engineering, Electrical/Electronics Engineering, or a related field, and two (2) years of experience in the job offered or related occupation. Requires two (2) years of experience in each of the following: GIT and Python; Docker, Kubernetes, and GitHub; AWS cloud technology; machine learning, statistical analysis, and predictive modeling; “Big data” platforms including Hadoop (Azure or GCP); PySpark; designing data models and solutions for analytical and reporting use cases; and time series analysis with Scikit-Learn and Pytorch. Telecommuting available.

Minimum Salary: 108306 Maximum Salary: 200000 Salary Unit: Yearly