Healthcare Data Scientist: Fraud Analytics & AI (Remote)

General Dynamics Information Technology; New York (NY); Remote; USD 81,000 - 109,000; Full time

Benefits offered by this job

Medical plan options

Paid time off

Paid holidays

Job summary

General Dynamics Information Technology (GDIT) is seeking a Data Scientist to grow their analytical and AI skillset while helping detect and prevent fraud, waste, and abuse in Medicare and Medicaid programs. You will collaborate with senior data scientists and engineers to advance analytics and generative‑AI capabilities that strengthen program integrity.

You will contribute to data science, ML, and AI projects, build robust datasets, and communicate findings with stakeholders across the team.

Qualifications

• Bachelor’s degree with analytical or technical focus.
• 1–3 years experience in data science or related field.
• Experience using Python or R for data analysis and ML tasks.
• Familiarity with Pandas, NumPy, Scikit-Learn, Matplotlib, or Seaborn.
• Exposure to generative AI or modern ML frameworks (e.g., Hugging Face Transformers, LangChain).
• Familiarity with SQL and cloud data tools such as Databricks, Snowflake, or Spark.

Responsibilities

• Support analytical tasks across data science, ML, and generative‑AI projects.
• Assist with exploratory data analysis and apply statistical methods.
• Help build components of generative‑AI solutions (prompt pipelines, embeddings, retrieval‑augmented systems).
• Contribute to predictive modeling, anomaly detection, and other analytics for fraud, waste and abuse detection.
• Build and maintain clean datasets using Python and SQL-based tools.
• Create clear visualizations to present trends and model insights.
• Document work and communicate findings with team members and partners.
• Perform additional duties as assigned.

Skills

Python

R

Statistics

Education

Bachelor's degree

Tools

Pandas

NumPy

Scikit-learn

Matplotlib

Seaborn

Job description

General Dynamics Information Technology (GDIT) is seeking a Data Scientist to grow their analytical and AI skillset while helping detect and prevent fraud, waste, and abuse in Medicare and Medicaid programs. You will collaborate with senior data scientists and engineers to advance analytics and generative‑AI capabilities that strengthen program integrity.

You will contribute to data science, ML, and AI projects, build robust datasets, and communicate findings with stakeholders across the team.