Sr. Healthcare Data Scientist (Medicare/Medicaid)
Tasks
- Analyze Medicare and Medicaid claims data for fraud waste and abuse
- Apply LLMs embeddings vector databases and retrieval augmented generation
- Build predictive and anomaly detection models
- Create data visualizations for technical and non technical stakeholders
- Develop generative AI powered solutions for fraud detection
- Perform feature engineering model validation and train test evaluation
- Present analytical results and recommendations
Perks/Benefits
- 401k match
- Dental insurance
- Flexible work arrangements
- Fully remote
- Health insurance
- Paid parental leave
- Paid vacation
- Vision insurance
Skills/Tech-stack
Anomaly Detection | Apache Spark | Data Visualization | Databricks | Deep learning | Feature Engineering | Generative AI | Hugging Face | Hugging Face Transformers | LLM orchestration | Langchain | Language Processing | Machine Learning | Matplotlib | Model Validation | Natural Language | Natural Language Processing | NumPy | Pandas | Predictive Modeling | Python | R | Retrieval-Augmented Generation | SQL | Scikit-learn | Seaborn | Snowflake | TensorFlow | Vector Databases
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