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 2.5 million people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.

Empowering the world starts with living our values 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.

We are looking for a ML Data Scientist to join our Science team. This role will focus on developing and validating the next generation of health sensing algorithms at Oura. Health sensing algorithms underpin the suite of features we offer to our members. As a ML data scientist, your work will have a wide ranging impact and provide the foundation for new insights delivered to millions of Oura members around the world.

Location: Finland, we have offices in Helsinki and Oulu

What You will do: 

• Contribute to the research, development and deployment of signal processing and machine learning algorithms for Oura features/products based on a range of sensing modalities
• Build end-to-end ML solutions, from preprocessing to model training and evaluation, with a focus on scalability, real-world generalizability, and physiological accuracy.
• Design and support internal and external data collection studies to develop, evaluate, and benchmark new algorithms
• Develop and maintain reusable data analytics tools, which can be deployed at scale
• Document, summarize, and present data analysis and algorithm performance results with concrete actionable recommendations for a broad audience on a regular basis
• Coordinate with cross-functional teams and overseas stakeholders

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

• Have 5+ years of experience in ML and biosignal processing, particularly with PPG, and wearable sensor data.
• Solid programming skills in Python and experience with code collaboration tools (git, peer review, etc). Experience with C/C++ is a plus.
• Demonstrate a proven ability to translate results into production-ready features
• Hold an advanced degree (Master’s or PhD) in biomedical engineering, electrical engineering, machine learning, or a related field—or have equivalent practical experience.
• Bring a strong understanding of physiological systems and can apply engineering intuition to solve complex, noisy problems.
• Communicate clearly with technical and non-technical audiences, and collaborate well in cross-functional, fast-paced teams.

What we offer:

• Competitive Salary
• Lunch benefit
• Wellness benefit
• Flexible working hours
• Collaborative, smart teammates
• Personal learning & development program
• An Oura ring of your own

If this sounds like the next step for you, please send us your application as soon as possible, but latest by September 29th.

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.

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