Sr. Healthcare Data Scientist (Medicare/Medicaid)

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

Key Skills For Success Agentic AI

Big Data

Generative AI

Machine Learning Methods

Python (Programming Language)

##### REQ#:RQ227255

##### 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 Sr. Data Scientist with deep experience in advanced analytics and modern AI technologies. In this role, you will help evolve the analytical capabilities used to detect and prevent fraud, waste, and abuse (FWA) in the Medicare and Medicaid programs. This includes working with cutting-edge generative AI models, AI agents, and scalable data science tools. A typical day will include:

• Analyzing Medicare and Medicaid claims data using statistical and machine learning techniques.
• Developing generative AI–powered solutions and agent-based systems to enhance fraud detection, investigate complex patterns, and optimize business processes.
• Building predictive and anomaly detection models to improve insights, efficiencies, and program integrity outcomes.
• Identifying opportunities to leverage large-scale CMS data with modern AI/ML methods, including LLMs, embeddings, vector databases, and retrieval-augmented pipelines.
• Present findings to a range of audiences (technical/non-technical) and to various levels