
Senior ML Data Scientist – Women’s Health
Posted Oct 16

Posted Oct 16
This is a fully remote position, open to applicants in United States.
• Create and implement sophisticated machine learning pipelines and models tailored for Women's Health features, emphasizing time-series analysis and thorough validation.
• Propel the commercialization of machine learning algorithms and models in collaboration with scientists, product managers, software developers, product designers, and test engineers.
• Design and perform statistical analyses to evaluate and monitor model performance.
• Produce actionable insights that guide strategic product decisions.
• Undertake exploratory research to discover and define new health sensing features.
• Convert proof-of-concept ideas into scalable, market-ready products.
• Contribute to the establishment of machine learning best practices within the Women's Health team.
• Effectively present and convey complex technical concepts to a variety of audiences.
• Lead intricate projects, provide mentorship to junior team members, and play a role in shaping technology strategy.
• PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or a related discipline.
• Over 3 years of industry experience in machine learning and data science.
• More than 5 years of advanced programming expertise in Python and SQL.
• Extensive knowledge of machine learning and statistical modeling methods, including deep learning, time-series analysis, and signal processing.
• Proven experience throughout the complete lifecycle of developing and commercializing machine learning models and algorithms.
• Exceptional communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
• Strong expertise in Women's Health, along with experience working with health data from wearables, is highly desirable.
• Competitive salary and equity packages.
• Comprehensive health, dental, vision insurance, and mental health resources.
• An Ōura Ring for your personal use along with employee discounts for friends and family.
• 20 days of paid time off, in addition to 13 paid holidays and 8 days of flexible wellness time off.
• Paid sick leave and parental leave.
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