Senior Healthcare Data Scientist - Remote AI & Fraud Analytics

General Dynamics Information Technology, Inc.; Maryland; Remote; USD 85,000 - 115,000; Full time

Job summary

General Dynamics Information Technology, Inc. is seeking a Senior Data Scientist to advance analytics and AI capabilities to detect fraud, waste, and abuse in Medicare and Medicaid programs.

You will collaborate with experienced data scientists and engineers on advanced analytics and generative-AI initiatives. The role emphasizes handling Medicare/Medicaid data, developing ML models, and building robust data pipelines using Python, SQL, and cloud tools.

Qualifications

• Bachelor’s degree with an analytical/technical focus.
• 5+ years of experience in Data Science.
• 2+ years analyzing Medicare/Medicaid data.
• Experience with healthcare/claims data.
• Familiarity with Python or R for data analysis and ML.
• Experience with Pandas, NumPy, Scikit-learn, Matplotlib or Seaborn.

Responsibilities

• Supporting analytical tasks across data science, ML, and gen AI projects.
• Analyzing Medicare/Medicaid data using statistical methods and supervised/unsupervised learning.
• Developing components of generative‑AI solutions, including prompts and embeddings.
• Contributing to predictive modeling and anomaly detection for program integrity.
• Building and maintaining clean datasets using Python and SQL tools.
• Creating visualizations to present trends and model insights.
• Documenting work and communicating findings with team and partners.
• Performing additional duties as assigned.

Skills

Python

R Programming

Education

Bachelor's degree in analytical/technical field

Tools

Pandas

NumPy

Scikit-learn

Matplotlib

Seaborn

Job description

General Dynamics Information Technology, Inc. is seeking a Senior Data Scientist to advance analytics and AI capabilities to detect fraud, waste, and abuse in Medicare and Medicaid programs.

You will collaborate with experienced data scientists and engineers on advanced analytics and generative-AI initiatives. The role emphasizes handling Medicare/Medicaid data, developing ML models, and building robust data pipelines using Python, SQL, and cloud tools.