Principal Data Scientist

CVS Health•Woonsocket, RI

4d•$144,200 - $288,400•Remote

About The Position

Aetna Resources LLC, a CVS Health company, is hiring for the following role in Woonsocket, RI: Principal 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. Telecommuting available. Multiple positions.

Requirements

Master’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field and four (4) years of experience in the job offered or related occupation.
Three (3) years of experience in Data analytics on large data sets in healthcare, business, or retail sector
Three (3) years of experience in Machine learning, statistical analysis, and predictive modeling
Three (3) years of experience in Hadoop and Hive
Three (3) years of experience in R, Python, or SQL
Three (3) years of experience in SAS or SQL programming languages
Three (3) years of experience in Visualization tools, including PowerBI or Tableau
Three (3) years of experience in Designing data models and solutions for analytical and reporting use cases
Three (3) years of experience in Machine learning, statistical analysis, and predictive modeling

Responsibilities

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
Support deployment of insights across multiple channels using analysis methods, machine learning, and statistical analyses