Senior ML Data Scientist - Women’s Health

Description: Join ŌURA's Women's Health team as a Senior Machine Learning Data Scientist to develop and commercialize machine learning models using wearable health data. Lead complex projects, mentor junior team members, and contribute to the strategic direction of technology. Requirements: PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or related field with 3+ years of industry experience in machine learning and data science. 5+ years of advanced programming experience in Python and SQL, with extensive knowledge of machine learning techniques including deep learning and time-series analysis. Proven experience in the full lifecycle of developing and commercializing machine learning models. Excellent communication skills to convey complex technical concepts to diverse audiences. Self-driven and motivated with a pragmatic, delivery-focused mindset. Nice to have: Strong domain knowledge in Women's Health and experience with health data from wearables. Benefits: Competitive salary and equity packages based on location and experience. Health, dental, vision insurance, and mental health resources. An Ōura Ring plus employee discounts for friends & family. 20 days of paid time off, 13 paid holidays, and 8 days of flexible wellness time off. Paid sick leave and parental leave.