Sr. Healthcare Data Scientist (Medicare/Medicaid)

General Dynamics Information Technology is a technology and professional services company supporting government, defense, and intelligence missions. The Sr. Healthcare Data Scientist will support efforts to detect and prevent fraud, waste, and abuse in Medicare and Medicaid programs through data science, machine learning, generative AI, predictive modeling, and claims-data analysis.

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 and partners
• Performing additional duties as assigned

Requirements:

• Python (Programming Language), R Programming, Science
• 5 + years of related experience
• NACI (T1)
• • Bachelor's degree with an analytical or technical focus (Statistics, Computer Science, Engineering, Applied Mathematics, etc.)
• • At least 5 years of experience in Data Science
• • Minimum of 2 years of experience conducting advanced analyses of Medicare and/or Medicaid data
• • Experience analyzing data, preferably healthcare or claims data
• • Familiarity with Python or R for data analysis and machine learning
• • Experience with common data science libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, or Seaborn
• • Exposure to generative AI or modern machine learning frameworks (e.g., Hugging Face Transformers, LangChain, embeddings, vector databases)
• • Familiarity with SQL and cloud data tools such as Databricks, Snowflake, or Spark is a plus
• • Understanding of basic statistics and foundational ML concepts such as feature engineering, train/test splits, and evaluation metrics
• • Ability to create and interpret data visualizations
• US Citizenship Required:

No

• Travel Required:

Less than 10%

• Telecommuting Options:

Remote

• Work Location:

Any Location / Remote