Senior ML Data Scientist, Health Sensing

About the company

Oura makes smart rings and related software that track sleep, activity, and other health metrics for consumers.

About this role

<div class="content-intro"><p>Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.</p> <p>Empowering the world starts with living <a href="https://ouraring.com/about-us">our values</a> and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office.&nbsp;</p></div><p>Our mission at Oura 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.&nbsp; We believe that starts from within - by creating a culture where our team feels supported, included, and inspired to do their best work. &nbsp;<a href="https://ouraring.com/about-us">Our values</a> guide how we show up for each other and our community every day.&nbsp;</p> <p>This is a remote US role with a preference for candidates based in San Francisco, San Diego, or Boston. 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.</p> <p>We are seeking a highly experienced and driven Senior Machine Learning Data Scientist to join our health sensing team. You will play a pivotal role in developing and commercializing cutting-edge machine learning models and algorithms, leveraging wearable health data to help members detect and understand illness. This role carries a high degree of independence — you will own projects end to end, set your own technical direction, and partner directly with product and engineering to bring your work to members.</p> <p><strong>What you will do:&nbsp;</strong></p> <ul> <li>Contribute to the development and deployment of advanced machine learning pipelines and models for innovative illness detection features, focusing on time-series analysis and robust validation.</li> <li>Drive the commercialization of machine learning models and algorithms, collaborating closely with cross-functional teams including scientists, product managers, software developers, product designers and test engineers, serving as the primary science partner for illness algorithm work.</li> <li>Design and execute rigorous statistical analyses for model performance evaluation, monitoring, and generating actionable insights to inform strategic product decisions.</li> <li>Independently scope and conduct in-depth exploratory research to identify and characterize novel health sensing features, translating proof-of-concept ideas into scalable, commercialized products.</li> <li>Identify and prioritize the highest-impact opportunities in a broad problem space, and drive them from open question to shipped capability with limited direction.</li> <li>Monitor and improve the performance of algorithms already running in production at scale, using large-scale member data to guide where to invest next.</li> <li>Present and communicate complex technical concepts to diverse audiences.</li> </ul> <p><strong>Requirements</strong></p> <ul> <li>PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or a related field, plus 3+ years of industry experience in machine learning and data science.</li> <li>5+ years of advanced programming experience in Python and SQL.</li> <li>Extensive experience with a wide range of machine learning and statistical modeling techniques, including deep learning, time-series analysis, and signal processing.&nbsp;&nbsp;</li> <li>Demonstrated experience in the full lifecycle of developing and commercializing machine learning models and algorithms.</li> <li>Proven ability to operate independently: comfortable being the sole scientist on a project, defining your own roadmap, and unblocking yourself without waiting for direction. You move quickly and prioritize effectively.</li> <li>Excellent communication skills, and the ability to articulate complex technical concepts to both technical and non-technical audiences.</li> <li>Domain knowledge in illness, infection, or immune response physiology, and experience with health data from wearables are significant pluses.</li> </ul> <p><strong>Benefits&nbsp;</strong></p> <p>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.</p> <p>What we offer:</p> <ul> <li>Competitive salary and equity packages</li> <li>Health, dental, vision insurance, and mental health resources</li> <li>An Oura Ring of your own plus employee discounts for friends &amp; family</li> <li>20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off</li> <li>Paid sick leave and parental leave</li> </ul> <p>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.</p> <ul> <li>Region 1 $172,000 - $203,000</li> <li>Region 2 $158,000 - $187,000</li> <li>Region 3 $147,000 - $174,000</li> </ul> <p>A recruiter can determine your zones/tiers based on your US location.</p> <p>We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (