Healthcare Data Scientist position at GDIT to support analytics and AI initiatives for Medicare and Medicaid fraud, waste, and abuse detection. You will work alongside experienced data scientists and engineers on advanced analytics and generative AI projects, analyzing Medicare and Medicaid claims data using statistical methods and supervised/unsupervised learning. Responsibilities include developing components of generative AI solutions (prompt pipelines, simple agents, embedding workflows, retrieval-augmented systems), contributing to predictive modeling, anomaly detection, and program integrity analytics, and building and maintaining clean datasets with Python and SQL tools. You will create clear visualizations to communicate trends and insights, document your work, and share findings with team members and partners. The position typically involves a 40-hour work week with less than 10% travel and is remote-friendly. Salary is likely in the range of $85,000 to $115,000, depending on experience and geographic location. Benefits include medical, dental, vision, 401(k), flexible work schedules, and paid time off. This role requires a Bachelor's degree in a relevant field and at least 2 years of data science experience, with proficiency in Python or R, and experience with common libraries such as Pandas, NumPy, Scikit-learn, Matplotlib or Seaborn. Familiarity with SQL and cloud data tools (Databricks, Snowflake, Spark) is a plus.

Healthcare Data Scientist position at GDIT to support analytics and AI initiatives for Medicare and Medicaid fraud, waste, and abuse detection. You will work alongside experienced data scientists and engineers on advanced analytics and generative AI projects, analyzing Medicare and Medicaid claims data using statistical methods and supervised/unsupervised learning. Responsibilities include developing components of generative AI solutions (prompt pipelines, simple agents, embedding workflows, retrieval-augmented systems), contributing to predictive modeling, anomaly detection, and program integrity analytics, and building and maintaining clean datasets with Python and SQL tools. You will create clear visualizations to communicate trends and insights, document your work, and share findings with team members and partners. The position typically involves a 40-hour work week with less than 10% travel and is remote-friendly. Salary is likely in the range of $85,000 to $115,000, depending on experience and geographic location. Benefits include medical, dental, vision, 401(k), flexible work schedules, and paid time off. This role requires a Bachelor's degree in a relevant field and at least 2 years of data science experience, with proficiency in Python or R, and experience with common libraries such as Pandas, NumPy, Scikit-learn, Matplotlib or Seaborn. Familiarity with SQL and cloud data tools (Databricks, Snowflake, Spark) is a plus.