At Oura, our mission is to empower every person to own their inner potential. With our award-winning Oura Ring and app, we help over 2.5 million people turn insights about sleep, activity, and readiness into healthier, more balanced lives. We believe that starts from within — by creating a culture where our team feels supported, included, and inspired to do their best work. Our values guide how we show up for each other and our community every day.

This is a remote US role with a slight preference for candidates based in San Francisco, CA.

We have offices in San Francisco and San Diego for those who prefer hybrid or office settings and employee hubs, including New York City, Boston, Los Angeles, Seattle, and more.

We are looking for a Machine Learning Data Scientist to join our Women’s Health team, playing a pivotal role in developing and commercializing novel machine learning models and algorithms that leverage wearable health data to improve women’s health outcomes. This role is ideal for an experienced ML expert who has expertise working with health data, is proactive, thrives in ambiguous problem spaces, and brings a balance of hands-on technical depth and strategic thinking.

What you will do:

Build and deploy machine learning pipelines and models for Women’s Health features
Work closely with a cross-functional team of scientists, product managers, software developers, product designers, test engineers, etc. to commercialize new features to bring value to our members
Deliver robust statistical analyses of machine learning models and algorithms for model performance evaluation, monitoring, and for drawing insights to support product decisions
Conduct early stage exploratory research to identify and characterize new potential health sensing features and functionality. Develop proof-of-concept features and work with a cross-functional team to take these from POC to a commercialized product

We would love to have you on our team if you:

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. Healthcare or health tech experience is preferred.
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