Sr. Healthcare Data Scientist (Medicare/Medicaid)
Tasks
- Analyze Medicare and Medicaid claims data to identify fraud waste and abuse
- Apply large scale CMS data with machine learning and LLMs
- Build predictive and anomaly detection models
- Create data visualizations for complex findings
- Develop generative AI solutions for fraud detection
- Perform feature engineering and model validation
- Present analytical results to technical and non technical stakeholders
Perks/Benefits
- 401k matching
- Flexible work arrangements
- Paid Holidays
- Paid parental leave
- Paid sick leave
- Paid vacation
- Remote work
Skills/Tech-stack
Agent Frameworks | Anomaly Detection | Apache Spark | Databricks | Feature Engineering | Generative AI | Ggplot | Hugging Face | Hugging Face Transformers | LLM orchestration | Langchain | Langgraph | Machine Learning | Matplotlib | Model Evaluation | NumPy | Pandas | Predictive Modeling | Python | R | Retrieval-Augmented Generation | SQL | Scikit-learn | Seaborn | Snowflake | Statistical modeling | TensorFlow | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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