📋 Description

• Analyze Medicare and Medicaid claims data using statistical methods, machine learning, and advanced
• Develop generative AI-powered solutions and agent-based systems to strengthen fraud detection
• Build predictive, anomaly detection, and other analytical models that improve program integrity
• Identify opportunities to apply large-scale CMS data with modern AI and machine learning
• Apply sound data science practices including feature engineering, attribute selection, threshold
• Create clear and effective data visualizations that communicate complex findings and emerging

🎯 Requirements

• Bachelor’s degree in an analytical or technical discipline such as Statistics, Computer
• At least 5 years of professional experience in data science, including experience developing and
• At least 2 years of hands-on experience analyzing Medicare and/or Medicaid data, with a strong
• Proficiency in Python or R for data science and machine learning, with experience using tools such
• Working knowledge of SQL and modern data platforms and technologies such as Databricks, Snowflake
• Hands-on experience with generative AI technologies and frameworks, such as LangChain, LangGraph

🎁 Benefits

• Estimated annual salary range of $97,968–$132,250, with actual compensation determined by
• Fully remote work environment with a standard 40-hour work week.
• Limited travel, generally less than 10%.
• Multiple medical plan options, including plans with Health Savings Accounts.
• Dental and vision insurance options.
• 401(k) retirement savings plan with company matching and pre- and post-tax contribution options.