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Description SHIFT: Day Job
SCHEDULE: Full-timeYour Talent. Our Vision. At Anthem, Inc., it's a powerful combination, and the foundation upon which we're creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will drive the future of health care. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health care companies and a Fortune Top 50 Company. The Medicare Risk Adjustment (MRA) Data Scientist is responsible for the development and implementation of predictive modeling algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include but are not limited to:- Design predictive modeling projects to address specific business problems determined by consultation with business partners.
- Work with data-sets of varying degrees of size and complexity including both structured and unstructured data.
- Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis.
- Implements batch and real-time model scoring to drive actions. Develops proprietary algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions.
- Develops proprietary algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions.
- Develop sophisticated visualization of analysis output for business users.
- Provides high-level controllership/evaluation of all output produced to ensure established targets are met.
- Determines the continuous improvement opportunities of current predictive modeling algorithms.
- Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables.
- Masters and experience in the Medicare sector preferred.
- An ideal candidate will have: Extensive experience in working with Medicare Risk Adjustment data; Risk Adjustment Processing System (RAPS), Encounter Data Submissions (EDS), Medicare Provider Data, ICD-10, Hierarchical Condition Category (HCC), etc. , experience with Data Governance work related to Encounter and RAPS processing.
- Advanced expertise with software such as Python, R, SAS, SAS Enterprise Miner or equivalent is strongly preferred.
Vacancy expired!