Data Scientist

CVS Health•Woonsocket, RI

4d•$141,565 - $185,400•Remote

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: Data Scientist to develop and implement analytics applications and models to transform data into meaningful information.

Requirements

Bachelor’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, Engineering, or a related field and five (5) years of progressive, postbaccalaureate experience in the job offered or related occupation.
Five (5) years of experience in Data analysis on large data sets in healthcare, business, or retail sector.
Five (5) years of experience in Designing data models and solutions for analytical and reporting use cases.
Five (5) years of experience in Writing application code and deploying to production.
Five (5) years of experience in Developing backend services, performing code reviews, and collaborating with peers on software development solutions.
Five (5) years of experience in Relational database concepts.
Five (5) years of experience in Extract/Transform/Load (ETL) processes.
Five (5) years of experience in Domain support for healthcare, or retail organization.
Five (5) years of experience in SAS or SQL programming languages.
Five (5) years of experience in Visualization tools, including PowerBI or Tableau.
Five (5) years of experience in Traditional database technologies: Oracle, Teradata, or DB2.
Five (5) years of experience in Agile methodologies or SAFe Software Development Principals.
Five (5) years of experience in Software testing, quality assurance, and troubleshooting.

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.