General Dynamics Information Technology

Data Scientist Manager

Remote, US$129,813-$167,900Posted 2 months ago

Job Description

Clearance Level None Category Data Science and Data Engineering Location Remote, Working from the USA

Key Skills For Success Big Data

Data Analytics

Health Data

Structured Query Language (SQL) Development

##### REQ#:RQ222488

##### Public Trust:None

##### Requisition Type:Regular

##### Your Impact

Own your opportunity to be on the frontlines of health innovation. Deliver for America’s health agency missions and enhance lives for hundreds of millions every day.

Job Description

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Our work depends on a Data Scientist Manager joining our team to support the Centers for Medicare & Medicaid Services (CMS) anti‑fraud activities. As a Data Scientist Manager supporting the Healthcare Fraud Prevention Partnership (HFPP), you will lead a team of Data Scientists engaged in Fraud, Waste, and Abuse (FWA) analytics. You will collaborate with FWA Subject Matter Experts and Business Intelligence Developers to develop models and algorithms that detect and describe actionable FWA leads for the HFPP.

The Data Scientist Manager directs the Data Science team in using tools such as SAS and Python to analyze healthcare claims across Medicare, Medicaid, and private payers within a multi‑billion‑record database representing a large public‑private payer partnership.

HOW A DATA SCIENTIST MANAGER WILL MAKE AN IMPACT

  • Manage a team of Data Scientists working within a multidisciplinary organization of Data Scientists, Business Intelligence Analysts, and FWA Subject Matter Experts.
  • Plan, direct, and oversee the development and execution of FWA models and algorithms in multi-payer environments. This includes creating, reviewing, and maintaining statistical analysis plans; interpreting data; and generating reports to address research questions.
  • Facilitate collaboration between the Data Science team, FWA SMEs, Business Intelligence Developers, and clients to develop meaningful analyses and provide predict

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