Sr. Healthcare Data Scientist; Medicare​/Medicaid

Type of Requisition:
Regular

Clearance Level Must Currently Possess:
None

Clearance Level Must Be Able to Obtain:
None

Public Trust/Other

Required:

NACI (T1)

Job Family:
Data Science and Data Engineering

Skills:

Python (Programming Language), R Programming

Science

Certifications:

None

Experience:

5 + years of related experience

US Citizenship

Required:

No

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.

• 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.

• 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, Num Py, Scikit-learn, Matplotlib, or Seaborn.
• Exposure to generative AI or modern machine learning frameworks (e.g., Hugging Face Transformers, Lang Chain, 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.

The likely salary range for this position is $85,000 - $115,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly

Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:
Remote

Work Location:

Any Location / Remote

• Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 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.
• To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.
• GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year.
• Paid leave and paid holidays are prorated based on the employee’s date of hire.
• The GDIT Paid Family Leave program provides a total of up to 160…