Sr. Healthcare Data Scientist (Medicare/Medicaid)

General Dynamics Information Technology • USA MD Home Office (MDHOME), MD

4d • $85,000 - $115,000 • Remote

About The Position

Our work is looking for a Sr. 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.

Requirements

• 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)
• 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.

Nice To Haves

• Familiarity with SQL and cloud data tools such as Databricks, Snowflake, or Spark is a plus.

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.

Benefits

• Variety of medical plan options, some with Health Savings Accounts
• Dental plan options
• Vision plan
• 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match
• Full flex work weeks where possible
• Variety of paid time off plans, including vacation, sick and personal time
• 10 paid holidays per year
• Paid parental leave
• Military leave
• Bereavement leave
• Jury duty leave
• 15 days of paid leave per calendar year to be used for vacations, personal business, and illness
• Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees
• Short and long-term disability benefits
• Life insurance
• Accidental death and dismemberment insurance
• Personal accident insurance
• Critical illness insurance
• Business travel and accident insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Senior