Senior/Staff Machine Learning Data Scientist

What You'll Do

• 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
• Deploy models in production-grade Python
• Identify strategies for improving production ML-based systems and write, debug, and deploy production-grade Python code to implement these strategies
• Align Data Science with technical and non-technical users, both internally and externally

Minimum Qualifications

• Ph.D. in a relevant field plus 3+ years experience shipping ML based software products
• Experience owning your 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

Preferred Qualifications

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