Data Scientist
Summary
Lead fraud-detection studies for Medicare/Medicaid by analyzing complex claims data with machine learning and AI models.
This position is located in the Department of Health & Human Services (HHS), Centers for Medicare & Medicaid Services (CMS), Center for Program Integrity (CPI), Data Analytics & Systems Group, Division of Modeling & Analytics (DMA) . As a Data Scientist, GS-1560-14, you will lead/run studies by gathering, examining, and understanding complex CMS data using different tools and advanced methods like machine learning and artificial intelligence to spot fraud and patterns in Medicare and Medicaid.
Lead and conduct studies by collecting, analyzing, and interpreting multi-faceted data using advanced statistical techniques such as machine learning, artificial intelligence, and modeling to detect fraud and trends in Medicare and Medicaid.
Research and develop statistical models for data analysis, advancing analytic methodologies and collaborating with CPI customers and stakeholders to devise innovative analytic solutions.
Serve as a technical resource, consultant/liaison to internal Agency, Federal, or contractor staff on program integrity data analysis and coordinate various Program Integrity (PI) projects across different groups or components within CMS as needed.
Research emergent data analytics, knowledge management trends, and technology developments from government and industry to develop recommendations for improvements to CPI's programs, tools, techniques, and approaches.