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Mid LevelFull-timePythonRustAWSMachine LearningData ScienceTensorFlowPyTorchMLData
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Scientist to join Oura's Movement Squad, focusing on unlocking new movement insights through advanced hardware sensing. This role involves building next-generation movement and running dynamics algorithms and investigating how new sensing modalities can improve accuracy and robustness.
Key Responsibilities
- βDevelop Movement Algorithms: Contribute to the research, prototyping, and development of movement and activity algorithms, leveraging existing and emerging hardware sensing capabilities.
- βTranslate 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.
- βCollaborate on Hardware<>Algorithm Co-Design: Partner with Hardware, Firmware, and Engineering teams to evaluate new sensing modalities and influence how hardware capabilities translate into reliable movement algorithms.
- βInfluence Product Direction: Collaborate with Product, Engineering, and Design to shape the technical vision and roadmap for movement sensing and tracking.
Requirements
- βMSc 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).
- βExperience developing and deploying data science or machine learning solutions to production as part of a cross-functional team.
- βHands-on experience working with time-series data from multi-axis accelerometers, gyroscopes, or similar MEMS sensors.
- βStrong understanding of sensor data characteristics, noise sources, and real-world constraints.
- βExpert-level proficiency in Python, including deep knowledge of scientific/ML libraries.
- βExpert-level proficiency in SQL and data wrangling.
- βA solid understanding of experimental design, causal inference, and validation methodologies for ML-powered product features.
- βFamiliarity with end-to-end development using AWS (or a similar cloud service).
- βExperience working with international and distributed teams.
- βPrior experience in the athletic performance technology space or wearable sensing.
Benefits
- β Competitive salary and equity packages
- β Health, dental, vision insurance, and mental health resources
- β An Oura Ring of your own plus employee discounts for friends & family
- β 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
- β Paid sick leave and parental leave
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