Full Time

Data Scientist II (ML) - Health

Torentify
Full-time
Associate
Technology, Information and Internet
United States
$140,000 - $200,000* / year (about $67–$96 an hour)

Job Description

About the Company


Ōura develops award-winning wearable technology designed to help people better understand and improve their health. Through the Oura Ring and its connected app, the company provides daily insights into readiness, activity, and sleep quality, helping millions of people make informed decisions and build healthier lifestyles.


Ōura is a growing global company focused on empowering individuals to take ownership of their health and well-being.


About the Role


Ōura is seeking an experienced Senior Machine Learning Data Scientist to join its Women's Health team. This role will focus on developing, validating, and commercializing advanced machine learning models and algorithms using wearable health data to improve women's health outcomes.


The position involves leading complex technical projects, collaborating with cross-functional teams, and contributing to the development of innovative Women's Health features. The ideal candidate combines strong machine learning and statistical expertise with practical experience taking models from research and development into commercial products.


Key Responsibilities


  • Develop and deploy advanced machine learning pipelines and models for innovative Women's Health features, with a focus on time-series analysis and robust validation.
  • Drive the commercialization of machine learning models and algorithms in collaboration with scientists, product managers, software developers, product designers, and test engineers.
  • Design and conduct statistical analyses to evaluate model performance, monitor results, and generate actionable insights for product decisions.
  • Conduct exploratory research to identify and characterize new health-sensing features.
  • Translate proof-of-concept research into scalable, commercialized products.
  • Contribute to the development of machine learning best practices within the Women's Health team.
  • Present and communicate complex technical concepts to technical and non-technical audiences.


Required Qualifications


  • PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or a related field.
  • At least 3 years of industry experience in machine learning and data science.
  • 5+ years of advanced programming experience in Python and SQL.
  • Extensive experience with machine learning and statistical modeling techniques, including deep learning, time-series analysis, and signal processing.
  • Demonstrated experience across the full lifecycle of developing and commercializing machine learning models and algorithms.
  • Excellent communication skills and the ability to explain complex technical concepts to diverse audiences.
  • Self-driven and motivated, with a pragmatic, delivery-focused approach and the ability to move quickly and prioritize effectively.


Preferred Qualifications


  • Strong domain knowledge in Women's Health.
  • Experience working with health data from wearable devices.


Compensation & Benefits


Region 1: $172,550–$203,000 annually.

Region 2: $158,950–$187,000 annually.

Region 3: $147,900–$174,000 annually.

Competitive salary and equity packages.

Health, dental, and vision insurance.

Mental health resources.

An Ōura Ring and employee discounts for friends and family.

20 days of paid time off, 13 paid holidays, and 8 days of flexible wellness time off.

Paid sick leave and parental leave.


Compensation follows a market-based approach and varies by U.S. work location. Offers are determined by job-related skills, experience, qualifications, work location, internal equity, and market conditions. A recruiter can confirm the applicable salary region. Salary ranges may be modified in the future.


Work Arrangement & Location


  • Remote position within the United States.
  • Preference for candidates based in San Francisco, San Diego, or Boston.
  • Applicants residing in Alaska, Delaware, Iowa, Mississippi, Nebraska, South Dakota, West Virginia, or Wisconsin will not be considered.


Equal Employment Opportunity & Accessibility


Ōura is an equal opportunity employer committed to creating an inclusive workplace. Employment decisions are made without discrimination based on age, ancestry, color, gender, pregnancy or related medical conditions, gender identity or expression, genetic information, marital status, medical condition, disability, national origin, protected family care or medical leave status, race, religion, sexual orientation, military or veteran status, or any other characteristic protected by applicable federal, state, or local laws.


Reasonable accommodations are available for individuals with disabilities during the interview process, while performing essential job functions, and when accessing employment benefits and privileges.


Recruitment Security Notice


Ōura has been made aware of scams involving individuals impersonating its recruiters, particularly for remote positions. Official job openings are listed only on the Ōura Careers page and trusted job boards.


Ōura will never request payment for equipment or ask candidates to provide sensitive personal information upfront. Official offers are sent through DocuSign after a verbal offer, not through text messages or email.


Recruitment Agency Notice


Ōura does not accept unsolicited agency resumes. Agencies should not forward resumes to the company's jobs email alias, employees, or other company locations. Ōura is not responsible for fees associated with unsolicited resumes.

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