Build and deploy machine learning pipelines and models for Women’s Health features.
Work closely with a cross-functional team of scientists, product managers, software developers, product designers, test engineers, etc. to commercialize new features to bring value to our members.
Deliver robust statistical analyses of machine learning models and algorithms for model performance evaluation, monitoring, and for drawing insights to support product decisions.
Conduct early stage exploratory research to identify and characterize new potential health sensing features and functionality. Develop proof-of-concept features and work with a cross-functional team to take these from POC to a commercialized product.
Skills Required
Machine Learning
Python
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