Remotely
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Job Description
📋 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.
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