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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:
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
Requirements:
Master’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Information Systems, Engineering, or a related field and two (2) years of experience in the job offered or related occupation
Programming in R, Hadoop, or Python
Visualization tools, including PowerBI or Tableau
“Big data” platforms including Hadoop (Azure, GCP, or AWS)
XML, JSON, HTML, CSS, or JavaScript
Spark, Airflow, Kafka, Hbase, Pig, or NoSQL
PySpark, Scala, or Java
Writing clean, high quality, high performing, scalable code
Analyzing large data sets from multiple data sources
Machine learning, statistical analysis, and predictive modeling
What we offer:
Full range of medical, dental, and vision benefits
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