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.

We have offices in San Francisco and San Diego for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations.

We are looking for a Staff Machine Learning Data Scientist to join our Women’s Health team. You will play a pivotal role in developing and commercializing cutting-edge machine learning models and algorithms, leveraging wearable health data to improve women’s health outcomes. You will lead complex projects, mentor junior team members, and contribute significantly to the strategic direction of our technology.

What you will do:

Lead the development and deployment of advanced machine learning pipelines and models for innovative Womens Health features, with a focus on time-series analysis and robust validation.
Drive the commercialization of machine learning models and algorithms, collaborating closely with cross-functional teams including scientists, product managers, software developers, test engineers, and research operations.
Design and execute rigorous statistical analyses for model performance evaluation, monitoring, and generating actionable insights to inform strategic product decisions.
Conduct in-depth exploratory research to identify and characterize novel health sensing features, translating proof-of-concept ideas into scalable, commercialized products.
Mentor junior data scientists and contribute to the development of best practices for machine learning within the Womens Health team.
Present and communicate complex technical concepts to diverse audiences, including senior leadership and external stakeholders.

This is a remote US role with a slight preference for candidates based in San Francisco. The role may require attending on-site meetings in San Francisco several times a year as needed.

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 with 7+ years of relevant industry experience. Healthcare or health tech experience is preferred.
5+ years of advanced programming skills in Python and SQL.
Extensive experience in a wide range of machine learning and statistical modeling techniques, including deep learning, time-series analysis, and signal processing. You also have demonstrated experience in the end-to-end lifecycle of developing and commercializing machine learning models and algorithms.
Proven leadership experience, including mentoring junior team members, leading technical projects, and influencing technical direction.
Strong cross-functional communication skills, with the ability to clearly articulate complex technical concepts to both technical and non-technical audiences.
Strong domain knowledge in Women’s Health and experience with health data from wearables is a significant plus.
Comfort working with a diverse and talented global team, including accommodating occasional meetings with European colleagues and traveling for onsite meetings up to 3 times per year.