Responsibilities

The Staff Machine Learning Data Scientist will lead the development and deployment of advanced machine learning pipelines and models for innovative Women's Health features, with a focus on time-series analysis and robust validation. They will drive the commercialization of machine learning models and algorithms, collaborating with cross-functional teams, conduct in-depth exploratory research to identify novel health sensing features, mentor junior data scientists, and contribute to the strategic direction of the technology. The role also involves presenting complex technical concepts to diverse audiences and potentially attending on-site meetings in San Francisco as needed.