CVS Health is looking to hire a Data Scientist to formulate and apply mathematical and computational modeling methods towards data extraction and manipulation to develop data solutions and predictive models for various business units.
Requirements
- GIT
- Python
- JSON
- REST, SOAP or Web Service APls
- Cassandra and JIRA
- Hadoop or HDFS commands
- Java, Python, Hive, or Cassandra
- Spark, PySpark, or HDFS
- Data analytics on large data sets in healthcare, business, or retail sector
- Big Data implementation
- End-to-end data science lifecycte/workfiow
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 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
Other
- Master's degree (or foreign equivalent) in Computer Science, Data Science. Statistics, Mathematics. Analytics, or a related field
- one (1) year of experience in the job offered or related occupation
- Telecommuting available.
