General Dynamics Information Technology

Healthcare Data Scientist (Medicare/Medicaid)

Remote, US$85,000-$115,000Posted 9 days ago

Job Description

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

Key Skills For Success Python (Programming Language)

R Programming

Science

##### REQ#:RQ227332

##### Public Trust:NACI (T1)

##### 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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We are GDIT. We take pride in providing our clients with the data they need to make important decisions that impact the world around us.

You make GDIT your place by delivering insights to help our clients make impactful changes real. By owning your opportunity at GDIT, you’ll become a critical part in how we successfully solve our clients’ biggest challenges.

Our work is looking for a Data Scientist eager to grow their analytical and AI skillset while supporting vital efforts to detect and prevent fraud, waste, and abuse (FWA) in the Medicare and Medicaid programs. In this role, you will work alongside experienced data scientists and engineers, contributing to advanced analytics and generative‑AI initiatives.

Responsibilities

  • Supporting analytical tasks across data science, machine learning, and generative‑AI projects.
  • Assisting with the analysis of Medicare and Medicaid claims data using statistical methods and supervised/unsupervised learning techniques.
  • Helping develop components of generative‑AI solutions, including prompt pipelines, simple agents, embedding workflows, or retrieval‑augmented systems.
  • Contributing to predictive modeling, anomaly detection, and other program‑integrity analytics.
  • Building and maintaining clean datasets using Python and SQL-based tools.
  • Creating clear visualizations to present trends, patterns, and model insights.
  • Documenting work and communicating findings with team members an

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