Staff Machine Learning Data Scientist - Women's Health

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 Women's 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 Women's 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.

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

• 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

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Region 1 $182,000- $228,000
• Region 2 $169,000- $211,000
• Region 3 $159,000- $199,000

A recruiter can determine your zones/tiers based on your US location.

We are not considering candidates residing in the following states: Alaska (AK), Arkansas (AR), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), Rhode Island (RI), South Dakota (SD), Vermont (VT), West Virginia (WV), and Wisconsin (WI)

Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.

We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Disclaimer: Beware of fake job offers!
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• Our jobs are listed only on the ŌURA Careers page and trusted job boards.
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• Official offers are sent through Docusign after a verbal offer, not via text or email.

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