Sr. Healthcare Data Scientist (Medicare/Medicaid)
Tasks
- Analyze Medicare and Medicaid claims data
- Apply LLMs and embeddings to healthcare data
- Build predictive and anomaly detection models
- Create data visualizations
- Develop generative AI solutions for fraud detection
- Identify fraud waste and abuse patterns
- Implement retrieval-augmented generation pipelines
- Perform feature engineering and model validation
- Present findings to technical and non-technical stakeholders
Perks/Benefits
- 401k match
- Dental insurance
- Flexible work arrangements
- Fully remote
- Life insurance
- Long-term disability
- Medical insurance
- Paid family leave
- Paid parental leave
- Paid sick leave
- Paid vacation
- Short-term disability
- Vision insurance
Skills/Tech-stack
Anomaly Detection | Databricks | Embeddings | Feature Engineering | Hugging Face | Hugging Face Transformers | LLM orchestration | Langchain | Langgraph | Machine Learning | Matplotlib | Model Evaluation | NumPy | Pandas | Predictive Modeling | PySpark | Python | R | Retrieval-Augmented Generation | SQL | Scikit-learn | Seaborn | Snowflake | Spark | Statistical modeling | TensorFlow | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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