Oura is looking to empower every person to own their inner potential by providing actionable coaching and personalized insights to help athletes and highly active members optimize their physical performance.
Requirements
- 6+ years of relevant work experience (including deployment to production) as a data scientist or machine learning engineer, with a track record of leading complex projects.
- Deep, hands-on experience working with time-series data from a multi-axis accelerometer, gyroscope, or similar MEMS sensors (preferably in the consumer wearable or biomechanics space).
- Expert-level proficiency in Python, including deep knowledge of scientific/ML libraries, and experience building robust, scalable, and production-ready code.
- Strong, hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
- Expert-level proficiency in SQL and data wrangling, and comfort contributing to and maintaining the data pipelines for the features you develop.
- A deep, intuitive understanding of experimental design, causal inference, and validation methodologies for ML-powered product features.
- Familiarity with end-to-end development using AWS (or a similar cloud service).
Responsibilities
- Lead Algorithm Development: Lead the end-to-end research, prototyping, and development of novel algorithms for advanced activity analysis, with an initial focus on running dynamics and advanced activity metrics.
- Build & Deploy ML Models: Design, build, and deploy production-grade ML models that translate complex sensor data into personalized, actionable insights for Oura members.
- Own the Data Science Lifecycle: Take full ownership of projects from initial data exploration and signal processing through to robust validation, deployment, and post-launch monitoring and iteration.
- Influence the Product Roadmap: Partner closely with Product, Engineering, and Design to define the technical vision and roadmap for the Performance squad, ensuring our work is scientifically rigorous and delivers tangible member value.
- Mentor and Elevate: Act as a technical leader and mentor for other data scientists, sharing your expertise and helping to elevate the team's best practices in signal processing, machine learning, and code quality.
Other
- 6+ years of relevant work experience
- US locations are categorized into tiers based on a cost of labor index for that geographic area.
- 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
- Paid sick leave and parental leave
- Bachelor's degree or higher (not explicitly mentioned but implied)
