Sr. Healthcare Data Scientist (Medicare/Medicaid)
Tasks
- Analyze Medicare and Medicaid claims data to identify fraud waste and abuse patterns
- Apply LLM and embeddings with retrieval augmented generation pipelines
- Build predictive and anomaly detection models
- Create data visualizations for stakeholders
- Develop generative AI solutions and agent based systems for fraud detection
- Perform feature engineering model validation and train test methodology
- Present analytical results and recommendations to technical and non technical audiences
Perks/Benefits
- 401k matching
- Dental insurance
- Flexible work arrangements
- Fully remote work
- Life insurance
- Limited travel less than 10 percent
- Long-term disability
- Medical insurance
- Paid Holidays
- Paid parental leave
- Paid sick leave
- Paid vacation
- Short-term disability
- Vision insurance
Skills/Tech-stack
Apache Spark | Data Visualization | Databricks | Embeddings | Feature Engineering | Hugging Face | Hugging Face Transformers | Langchain | Langgraph | Language Models | Large Language Models | Matplotlib | Model Evaluation | NumPy | Pandas | Python | R | Retrieval-Augmented Generation | SQL | Scikit-learn | Seaborn | Snowflake | TensorFlow | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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