We are looking for a Data Scientist to join our Movement Squad with a focus on unlocking new movement insights through advanced hardware sensing. This squad is responsible for translating sensor capabilities into meaningful, high-impact features for athletes and highly active members aiming to optimize their physical performance.

In this role, you will work at the intersection of hardware, sensing, and algorithm development, where you will build next-generation movement and running dynamics algorithms and investigate how new sensing modalities can improve accuracy and robustness. Your work will directly shape how new hardware capabilities translate into actionable insights and personalized guidance for our members.

This is a remote role based in the U.S. 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.

What You Will Do

• Develop Movement Algorithms: Contribute to the research, prototyping, and development of movement and activity algorithms, with a focus on leveraging existing and emerging hardware sensing capabilities.
• Translate Sensor Data into Insights: Design, build, and deploy production-grade models and analytical pipelines that translate raw sensor data into accurate and actionable movement metrics and personalized insights for Oura members.
• Collaborate on Hardware<>Algorithm Co-Design: Partner closely with Hardware, Firmware, and Engineering teams to evaluate new sensing modalities, understand sensor limitations and tradeoffs, and influence how hardware capabilities translate into reliable movement algorithms.
• Influence Product Direction: Collaborate with Product, Engineering, and Design to shape the technical vision and roadmap for movement sensing and tracking, ensuring solutions are scientifically sound and deliver meaningful member value.

Requirements

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

• MSc degree with 2+ years of relevant industry experience or a PhD in a related field (e.g., data science, biomechanics, signal processing, or machine learning).
• Experience developing and deploying data science or machine learning solutions to production as part of a cross-functional team.
• Hands-on experience working with time-series data from multi-axis accelerometers, gyroscopes, or similar MEMS sensors, ideally in wearables, biomechanics, or motion analysis contexts.
• Strong understanding of sensor data characteristics, noise sources, and real-world constraints, and experience designing algorithms that are robust to these challenges.
• Expert-level proficiency in Python, including deep knowledge of scientific/ML libraries, and experience building robust, scalable, and production-ready code.
• Expert-level proficiency in SQL and data wrangling, and comfort contributing to and maintaining the data pipelines for the features you develop.
• A solid 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).
• Experience working with international and distributed teams.
• Prior experience in the athletic performance technology space or wearable sensing.

Nice to Have

• A background in biomechanics, kinesiology, or sports science.
• Experience with MLOps principles and tools for model deployment and monitoring.
• Experience with hardware development.
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).

Benefits 

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 $151,300 - $178,000
• Region 2 $138,550 - $163,000
• Region 3 $127,500 - $150,000

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

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