Senior/Staff Machine Learning Data Scientist

The role

You will perform independent end-to-end model development for life-saving AI models. This includes prototyping, productionizing, and deploying models using Python and SQL.

What you will do

• Develop and tune innovative ML models and labeler systems.
• Productionize models with production-grade Python.
• Identify strategies for improving production ML-based systems.
• Write, debug, and deploy production-grade Python code.
• Understand model performance and metrics.
• Present model performance to technical and non-technical users internally and externally.
• Write data mapping code.
• Debug patient cases by following data through AWS services.

Required qualifications

• Ph.D. in a relevant field
• 3+ years experience shipping ML based software products
• Experience owning ML models from prototyping to production, especially real-time algorithms that update dynamically across time
• Experience writing production-grade Python and SQL code to implement and evaluate ML models in production systems
• Track record of using statistics and performance metrics to compare end-to-end ML and product performance

Nice to have

• Experience shipping breakthrough or 0-1 products from end to end, interpreting and leveraging State-of-the-Art methods
• Experience using messy clinical and health data to design new products for large Health Systems
• PyTorch
• PySpark
• HL7
• FHIR
• EHR
• time series data
• signal processing
• MLFlow

About the company

Bayesian Health is an early-stage startup on a mission to make healthcare proactive by empowering clinicians with real-time data. The company is funded by Andreessen Horowitz, American Medical Association’s venture arm, Catalio Partners, and LifeForce Capital.