Source description
About the role
Develop and productionize machine learning models for a range of healthcare products, including monitoring controlled substance handling and patient privacy, and inventory management
Define and track KPIs to measure model performance and business impact
Collaborate with product teams and customers to scope analytics projects and build prototypes. Translate ambiguous business problems into well defined, quantitative, and testable hypotheses.
Communicate technical findings to both technical and non-technical stakeholders, including customers. Present results and recommendations in customer-facing meetings.
Inform product roadmaps, evaluate technical feasibility, and assess project risks.
Quickly ramp up on new healthcare data sources as products evolve and adapt to new ML techniques and tools as needed for product requirements
Raise the skill level of the entire analytics team by modeling strong research communication through team presentations and documentation. Drive collaboration through code reviews, experimental design feedback, and participation in model evaluation discussions.
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