Healthcare Data Scientist (Medicare/Medicaid)

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Data & AIHealthcare Data Scientist

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Quick Summary

Key Responsibilities

Supporting analytical tasks across data science, machine learning, and generative‑AI projects.

Requirements Summary

Skills:Python (Programming Language), R Programming,

Technical Tools

Data & AIHealthcare Data Scientist

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

NACI (T1)

Job Family:

Data Science and Data Engineering

Requirements

~1 min read

Less than 10%

Python (Programming Language), R Programming, Science

None

2 + years of related experience

Job Description:

Our team is seeking a Data Scientist eager to grow their analytical and AI skillset while supporting 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 analytics and generative‑AI initiatives that strengthen program integrity.

Responsibilities

~1 min read

→Supporting analytical tasks across data science, machine learning, and generative‑AI projects.
→Assisting with exploratory data analysis and applying statistical methods and basic supervised/unsupervised learning techniques.
→Helping build components of generative‑AI solutions, such as prompt pipelines, simple agents, embedding workflows, or retrieval‑augmented systems.
→Contributing to predictive modeling, anomaly detection, and other analytics used to identify potential FWA.
→Building and maintaining clean, well‑structured 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.).
1–3 years of experience in data science, analytics, or a related quantitative field.
Experience using Python or R for data analysis and machine learning tasks.
Familiarity 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.
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.

Experience working with healthcare data, particularly Medicare or Medicaid claims.
Knowledge of program integrity, healthcare analytics, or FWA detection concepts.
Prior exposure to anomaly detection, predictive modeling, or fraud‑related analytics.

Remote

Work Location:

Any Location / Remote

Additional Work Locations:

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 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

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Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans