ŌURA Verified

Health Technology, Wearable Technology, Consumer Electronics, Digital Health

Senior ML Data Scientist - Women’s Health

RemoteRemoteFull TimeSenior$172,550–$203,000 /yrPosted 26 days agoVisa sponsorship available

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Required skills

Biomedical Engineering
Electrical Engineering
Biostatistics
Machine Learning
Data Science
Python
SQL
Deep Learning
Time-Series Analysis
Signal Processing

Nice to have

Women's Health
Health Data
Wearables
Mentorship

Role summary

Ōura is seeking a Senior ML Data Scientist for its Women's Health team to develop and commercialize machine learning models using wearable health data. The role involves leading complex projects, mentoring junior members, and contributing to strategic technology direction. Responsibilities include developing ML pipelines, conducting statistical analyses, performing exploratory research, and communicating technical concepts. A PhD in a related field and 3+ years of industry experience in ML/data science are required, along with 5+ years of Python and SQL experience. Expertise in deep learning, time-series analysis, and signal processing is essential. Domain knowledge in Women's Health and wearable data is a plus.

Our mission at ŌURA 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 millions of 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 are seeking a highly experienced and driven Senior Machine Learning Data Scientist to join our Women's Health team. You will play a pivotal role in developing and commercializing cutting-edge machine learning models and algorithms, leveraging wearable health data to improve women's health outcomes. You will lead complex projects, mentor junior team members, and contribute significantly to the strategic direction of our technology..

What You Will Do:

Contribute to the development and deployment of advanced machine learning pipelines and models for innovative Women's Health features, focusing on time-series analysis and robust validation.

Drive the commercialization of machine learning models and algorithms, collaborating closely with cross-functional teams including scientists, product managers, software developers, product designers and test engineers.

Design and execute rigorous statistical analyses for model performance evaluation, monitoring, and generating actionable insights to inform strategic product decisions.

Conduct in-depth exploratory research to identify and characterize novel health sensing features, translating proof-of-concept ideas into scalable, commercialized products.

Contribute to the development of best practices for machine learning within the Women's Health team.

Present and communicate complex technical concepts to diverse audiences.

This is a remote US role with a preference for candidates based in San Francisco, San Diego, or Boston.

This is a remote US role with a slight preference for candidates based in San Francisco, San Diego, or Boston.

What you'll bring:

PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or a related field. And 3+ years of industry experience in machine learning and data science.

5+ years of advanced programming experience in Python and SQL.

Extensive experience with a wide range of machine learning and statistical modeling techniques, including deep learning, time-series analysis, and signal processing.

Demonstrated experience in the full lifecycle of developing and commercializing machine learning models and algorithms.

Excellent communication skills, and the ability to articulate complex technical concepts to both technical and non-technical audiences.

Self-driven, motivated, have a pragmatic can-do attitude and delivery-focused mindset: you can move quickly and prioritize effectively.

Nice to have:

Strong domain knowledge in Women's Health and experience with health data from wearables are significant plusses.

Benefits

At Ōura, we care about you and your well-being. Everyone here at Ōura 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 Ōura 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

Ōura 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: $172,550 - $203,000Region 2: $158,950 - $187,000Region 3: $147,900 - $174,000

A recruiter can determine your Region based on your US location.

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

ŌURA is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at ŌURA are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.

We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

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