Oura

Staff Machine Learning Data Scientist

Boston, Massachusetts, United States

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Health Technology, Wearable TechnologyIndustries

Staff Machine Learning Data Scientist

Salary: $182,000

Location Type: Remote (US)

  • Preference for candidates on the East Coast.
  • Offices available in San Francisco and San Diego for hybrid/office settings.
  • Informal gatherings at co-working locations in other major cities (e.g., Boston, New York).

Employment Type: Full-time

Position Overview

At Oura, our mission is to empower every person to own their inner potential. We are looking for a Staff Machine Learning Data Scientist to join our Science team. This high-impact role will focus on building robust, scalable, and accurate physiological machine learning models from large-scale wearable and health datasets. You’ll work closely with cross-functional partners across product, software engineering, and testing teams to develop the next generation of Oura's health insights.

Responsibilities

  • Design and develop scalable data generation pipelines that prioritize robustness, reproducibility, and quality across diverse physiological signals.
  • Research, prototype, and implement novel ML architectures for large-scale time-series modeling of health and physiological data.
  • Build scalable training pipelines to support high-throughput model development and iteration.
  • Design comprehensive evaluation strategies for model performance and clinical validity.
  • Collaborate cross-functionally with engineering, product, and validation teams to bring scientific models to production.
  • Plan and support long-term roadmap and mentor junior team members on best practices in modeling and deployment.

Requirements

  • PhD in machine learning, artificial intelligence, biomedical engineering, or a closely related field.
  • 5+ years of relevant industry experience (post-PhD) working with applied ML in a product setting.
  • Hands-on experience developing and deploying large time-series models, especially those built on sequential physiological or wearable data.
  • Strong programming skills in Python.
  • Experience with cloud-based ML platforms and tools (e.g., AWS, Github, Pytorch, Docker).
  • Deep understanding of scalable ML workflows, including data pipelines, evaluation frameworks, and deployment to production.
  • Self-starter, vision-driven, with strong collaboration and communication skills.
  • Ability to thrive in cross-functional settings.

Bonus Qualifications

  • Background in physiology, health sensing, or digital biomarkers.
  • Experience shipping ML models in production environments and conducting real-world validation.

Company Information

At Oura, our mission is to empower every person to own their inner potential. With our award-winning Oura Ring and app, we help over 2.5 million people turn insights about sleep, activity, and readiness into healthier, more balanced lives. We believe that starts from within — by creating a culture where our team feels supported, included, and inspired to do their best work. Our values guide how we show up for each other and our community every day.

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.

  • 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.

Salary Information

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.

  • Region 1: $182,000 - $228,000
  • Region 2: $169,000 - $211,000
  • Region 3: $159,000 - $199,000

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.

Skills

Machine Learning
Data Pipelines
Time-Series Modeling
Python
SQL
MLOps
Model Deployment
Wearable Data
Physiological Signals
Data Science

Oura

Wearable health monitoring smart ring

About Oura

Oura offers a smart ring that tracks various health metrics, including sleep patterns, heart rate variability, and physical activity. The ring uses advanced sensors to collect data, which is then analyzed and displayed through a mobile app, providing users with insights to improve their health and lifestyle. Unlike many competitors, Oura focuses on a direct-to-consumer model, selling its rings through its website and collaborating with sports teams and health institutions for additional partnerships. The goal of Oura is to help users, including athletes and those with health conditions, optimize their health through data-driven insights.

Oulu, FinlandHeadquarters
2013Year Founded
$344.1MTotal Funding
SERIES_DCompany Stage
Biotechnology, HealthcareIndustries
501-1,000Employees

Benefits

Competitive salary & equity packages
Health, dental, financial, & vision insurance
Wellness & mental health benefits
$300 per month health improvement related stipend
Flexible working hours
An Oura Ring of your own
Employee discount for friends & family
20 days of PTO

Risks

Increased competition from Samsung and Huami may pressure Oura's market share.
Criticism of cumbersome interfaces could lead users to competitors like VIV Health.
High valuation may lead to investor pressure for rapid growth, risking strategic missteps.

Differentiation

Oura's smart ring tracks over 20 biometrics, offering comprehensive health insights.
The ring's seamless wearability and precise monitoring set it apart in the market.
Oura's partnerships with sports teams validate its utility and accuracy for athletes.

Upsides

Oura raised $550M, boosting its valuation to $5.2 billion in 2024.
Integration with AI-driven insights could enhance personalized health recommendations.
Strategic partnerships with Dexcom and Essence Healthcare expand market reach into healthcare.

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