Sr. Healthcare Data Scientist (Medicare/Medicaid)
Tasks
- Analyze Medicare and Medicaid claims data to identify fraud waste and abuse patterns
- Apply LLMs embeddings vector databases and retrieval augmented generation pipelines
- Build predictive and anomaly detection models for program integrity
- Create data visualizations to communicate insights
- Develop generative AI powered solutions and agent based systems for fraud detection
- Perform feature engineering model validation and train test evaluation
- Present findings and recommendations to technical and non technical stakeholders
Perks/Benefits
- 401k match
- Dental insurance
- Flexible work arrangements
- Fully remote work
- Health insurance
- Life insurance
- Long-term disability
- Paid parental leave
- Paid sick leave
- Paid vacation
- Short-term disability
- Vision insurance
Skills/Tech-stack
Anomaly Detection | Apache Spark | Databricks | Deep learning | Embeddings | Feature Engineering | Ggplot | Hugging Face | Hugging Face Transformers | LLMs | Langchain | Langgraph | Machine Learning | Matplotlib | Model Evaluation | NumPy | Pandas | Predictive Modeling | Python | R | Retrieval-Augmented Generation | SQL | Scikit-learn | Seaborn | Snowflake | TensorFlow | Vector Databases
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