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At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.
Job Responsibility:
Develop and implement analytics applications and models to transform data into meaningful information
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
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
Requires three (3) years of experience in each of the following: Data analytics on large data sets in healthcare, business, or retail sector
Machine learning, statistical analysis, and predictive modeling
Hadoop and Hive
R, Python, or SQL
SAS or SQL programming languages
Visualization tools, including PowerBI or Tableau
Designing data models and solutions for analytical and reporting use cases
Machine learning, statistical analysis, and predictive modeling
What we offer:
Full range of medical, dental, and vision benefits
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