Caremark LLC, a CVS Health company, is hiring for the following role in New York, NY: Sr. 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; and mentor junior team members. Telecommuting available. Multiple positions.Requirements: Master’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, 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: Analyzing large data sets from multiple data sources; Data analysis for health care industry, products, or systems; Machine learning, statistical analysis, and predictive modeling; Programming in R, Hadoop, Python, or SQL; Visualization tools, including PowerBI, Tableau, or Looker; “Big data” platforms: Azure, GCP, AWS, or Redshift; and Traditional relational database technologies: Oracle, Teradata, MySQL, or DB2. Any related occupation, such as Data Scientist, Statistician, Operations Research Analyst, or Business Intelligence Analyst.

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