Data ScientistCaremark 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 Openings.Requirements: Master’s degree (or foreign equivalent) in Computer Science, Quantitative Management, Data Science, Statistics, Analytics, or a related field and one (1) year of experience in the job offered or related occupation. Requires one (1) year of experience in each of the following: GIT, Python and MySQL; JSON, HTML, and CSS; Bootstrap and Web Service APIs; Spark, JIRA and Confluence; Data analytics for healthcare industry, clinical trial or health research; Machine learning, statistical analysis and predictive modeling; Visualization tools, including PowerBI and Tableau; “Big data” platforms including Hadoop (Azure, GCP, or AWS); NLP (Scikit-Learn, SpaCy, Pytorch, or Spark NLP); Data ETL; and Terminal Command and Conda. Telecommuting available.

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