Senior ML Data Scientist - Women’s Health

Responsibilities

• Contribute to the development and deployment of advanced machine learning pipelines and models for innovative Women's Health features, focusing on time-series analysis and robust validation.
• Drive the commercialization of machine learning models and algorithms, collaborating closely with cross-functional teams including scientists, product managers, software developers, product designers and test engineers.
• Design and execute rigorous statistical analyses for model performance evaluation, monitoring, and generating actionable insights to inform strategic product decisions.
• Conduct in-depth exploratory research to identify and characterize novel health sensing features, translating proof-of-concept ideas into scalable, commercialized products.
• Contribute to the development of best practices for machine learning within the Women's Health team.
• Present and communicate complex technical concepts to diverse audiences.
• This is a remote US role with a preference for candidates based in San Francisco, San Diego, or Boston.
• This is a remote US role with a slight preference for candidates based in San Francisco, San Diego, or Boston.

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