Machine Learning Data Scientist - Women's Health

6 days ago

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ŌURA

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Consumer electronics • Health technology • Wearable technology • Sleep monitoring • Software development

201 - 500

Description

• Empower every person to own their inner potential at Oura • Help our global community gain deeper knowledge of readiness, activity, and sleep quality • Develop and commercialize novel new machine learning models and algorithms in Women’s Health • Build and deploy machine learning pipelines and models for Women’s Health features • Work closely with a cross-functional team to commercialize new features • Deliver robust statistical analyses of machine learning models for performance evaluation • Conduct exploratory research to identify new potential health sensing features • Develop proof-of-concept features to transition to commercialized products

Requirements

• Have a PhD in biomedical engineering, electrical engineering, biostatistics, computer science or a related field, OR a Master degree in related fields with 3+ years of relevant work experience. • Have 3+ years of solid programming skills in Python and SQL. • Have experience with multiple machine learning and statistical modeling approaches. • Have a strong understanding of probability and statistics. • Have experience developing and validating time-series algorithms. • Are self-driven, motivated, have a pragmatic can-do attitude and delivery-focused mindset: you can move quickly and prioritize effectively. • Possess excellent communication skills and can summarize and clearly articulate your work and thinking process to both technical and non-technical team members. • Are comfortable working with a diverse and talented group of team members residing throughout the globe, and can accommodate weekly off hour meetings with European colleagues and traveling for onsite meetings up to 3 times per year.

Benefits

• Competitive salary and equity packages • Health, dental, vision insurance, and mental health resources • An Oura Ring of your own plus employee discounts for friends & family • 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off • Paid sick leave and parental leave • Amazing culture of collaborative and passionate coworkers