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

Job Qualifications:

Skills:

Python (Programming Language), R Programming, Science

Certifications:

None

Experience:

2 + years of related experience

US Citizenship Required:

No

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:

• 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.

Required Skills:

• 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.

Desired Skills:

• 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.

 

 

The likely salary range for this position is $80,750 - $109,250. 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

Additional Work Locations:

Total Rewards at GDIT:

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.

 

 

Our Identity Verification Process:

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.