Sr Data Scientist

CVS Health•Woonsocket, RI

4d•$101,970 - $203,940•Hybrid

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Caremark LLC, a CVS Health company, is hiring for the following role in Woonsocket, RI: Sr Data Scientist to formulate and apply mathematical and computational modeling methods towards data extraction and manipulation. 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 and provide usable information on health metrics and potential future outcomes; 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 strong programming skills to explore, analyze, and interpret large volumes of data in various forms and solve complex business problems; support deployment of insights across multiple channels and work on mathematical 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 two (2) years of experience in the job offered or related field.
Two (2) years of experience in GIT
Two (2) years of experience in Python
Two (2) years of experience in JSON
Two (2) years of experience in Web Service APIs
Two (2) years of experience in Google Cloud Platform (GCP)
Two (2) years of experience in Power BI and Tableau
Two (2) years of experience in Data analytics on large data sets in healthcare, business, or retail sector
Two (2) years of experience in Big Data implementation
Two (2) years of experience in Machine learning operations such as model versioning, model and data lineage, monitoring, model hosting and deployment, scalability, and orchestration
Two (2) years of experience in Quantitative analysis techniques, including clustering regression, and pattern recognition.

Responsibilities

Formulate and apply mathematical and computational modeling methods towards data extraction and manipulation.
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 and provide usable information on health metrics and potential future outcomes.
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 strong programming skills to explore, analyze, and interpret large volumes of data in various forms and solve complex business problems.
Support deployment of insights across multiple channels and work on mathematical analysis methods, machine learning, and statistical analyses.