Senior/Staff Machine Learning Data Scientist
Develops, productionizes, and deploys end-to-end ML models for real-time clinical predictions using production Python/SQL. Owns model performance from prototyping to real-world impact, collaborating cross-functionally. Requires PhD + 3+ years shipping ML products.
About the job
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.
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 any of the following: PyTorch, PySpark, HL7, FHIR, EHR, time series data, signal processing, MLFlow, anomaly detection, Bayesian statistics, quantile regression, time-series forecasting.
Skills
Python, SQL, PyTorch, Pyspark, MLflow, Time Series Data, Signal Processing, Anomaly Detection, Bayesian Statistics, Quantile Regression, Time-Series Forecasting, Hl7, FHIR, Ehr
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