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 over one 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 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 Data Scientist to join our Adapt squad to help build data algorithms powering the most inclusive and automatic capture of movement.
What you will likely work on:
- Help automate the end-to-end Movement experience
- Improving our Workout Heart Rate algorithm
- Improving our step and calorie counting algorithms
This is a remote US role with a strong preference for candidates based in the US Eastern Time Zone.
We would love to have you on our team if you have:
- Have 4+ years of relevant work experience (including deployment to product) as a data scientist/ML engineer
- Have worked with time-series data from a multi-axis accelerometer, gyroscope, or similar MEMS sensors (preferably in the consumer wearable space)
- Advanced level proficiency with Python (including scientific/ML libraries, functional programming, modular code design, unit testing, understanding time/space complexity)
- Expert level proficiency in SQL and data wrangling, and comfortable contributing to and maintaining the data pipelines for the features you develop
- Familiarity with end-to-end development using AWS (or a similar cloud service)
- Nice to have skills/abilities
- Experience with Pytorch (or tensorflow or similar deep learning framework)
- Experience working in consumer wearable space
- Embedded systems/firmware development
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