Senior/Staff Machine Learning Data Scientist

• We’re an early-stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives.

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  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

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  Productionizing: The same models that you develop with production-grade Python

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  Deploying: Identify strategies for improving our production ML-based systems, and write, debug, and deploy production-grade Python code to implement those strategies

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  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

• 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

• 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

• You bring passion and enthusiasm to your work, and are excited to join a growing team to Get Stuff Done and save lives!

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