Bayesian Health is an early-stage startup focused on improving healthcare through real-time data insights. They are seeking a Senior/Staff Machine Learning Data Scientist to develop and deploy machine learning models that enhance clinical decision-making and patient outcomes.
Responsibilities:
- Model Prototyping: Develop and tune innovative, new ML models and labeler systems based on deep understanding of clinical use cases and state-of-the-art ML methods
- Productionizing: The same models that you develop with production-grade Python
- Deploying: Identify strategies for improving our production ML-based systems, and write, debug, and deploy production-grade Python code to implement those strategies
- Cross-Functional Alignment: Data Science for storytelling – understand model performance and metrics, and present this to technical and non-technical users, both internally and externally