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 pipelines
- Build predictive and anomaly detection models
- Create data visualizations for complex findings
- Develop generative AI solutions for fraud detection
- Perform feature engineering model validation and train test evaluation
- Present recommendations to technical and non technical stakeholders
Perks/Benefits
- 401k matching
- Dental insurance
- Flexible work arrangements
- Fully remote
- Health insurance
- Life insurance
- Limited travel
- Long-term disability
- Paid parental leave
- Paid time off
- Short-term disability
- Vision insurance
Skills/Tech-stack
Anomaly Detection | Apache Spark | Data Visualization | Databricks | Embeddings | Feature Engineering | Generative AI | Ggplot | Hugging Face | Hugging Face Transformers | LLM | 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
Roles
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