Senior ML Data Scientist - Women’s Health

Role overview Develop and bring machine-learning capabilities for women’s health from research into usable product features, drawing on wearable health data. The role spans time-series modeling, statistical evaluation and collaboration with product and engineering partners to validate and commercialize new sensing features. It also contributes to team practices and technical direction, and includes mentoring responsibilities.

Responsibilities - Build and deploy machine-learning pipelines and models, with attention to time-series data and robust validation. - Partner with scientists, product managers, software developers, designers and test engineers to bring models into products. - Design statistical evaluations, monitor model performance and produce findings that inform product decisions. - Explore potential health-sensing features and develop promising concepts into scalable offerings. - Help establish sound machine-learning practices within the team and communicate technical work to varied audiences. - Lead complex projects and support the development of less-experienced colleagues.

Requirements - PhD in biomedical engineering, electrical engineering, biostatistics, computer science or a related discipline. - At least three years of industry experience in machine learning and data science. - Five or more years of advanced programming experience with Python and SQL. - Strong experience with machine learning and statistical methods, including deep learning, time-series analysis and signal processing. - Experience taking models or algorithms through development, validation and commercialization. - Clear communication and the ability to prioritize and deliver work in a fast-moving environment.

Nice to have - Knowledge of women’s health or experience working with wearable health data.

Benefits and work setup This is a remote U.S. role, with a preference for candidates in San Francisco, San Diego or Boston. Benefits include health, dental and vision coverage, mental health resources, paid time off, holidays, wellness time, sick leave and parental leave, along with equity and a company-provided wearable. Compensation varies by location; listed base ranges are $172,550–$203,000, $158,950–$187,000 and $147,900–$174,000 across three U.S. location tiers.