May 21, 2026 Melissa Kashouh

Oura – Senior ML Data Scientist – Women’s Health

  • Anywhere

● TALENT ONE MARKET INTELLIGENCE: OURA

🔥 TALENT LIQUIDITY:
High demand for specialized ML talent in the health-tech space; supply is constrained by the intersection of high-level data science and domain-specific physiological knowledge.

📈 ALPHA SIGNAL:
This role puts you at the center of the ‘FemTech’ gold rush. Securing equity here is a hedge against standard SaaS volatility; as the company moves toward clinical-grade diagnostics, your stock options gain intrinsic value tied to medical IP, not just user growth.

EST. COMPENSATION
$190k – $240k Base + Equity Package
SECTOR HEAT
85.8/100
CANDIDATE PROTOCOL: Focus your portfolio on time-series analysis and physiological signal processing. If you have experience with hormonal cycle modeling or longitudinal health data, lead with that—it is the specific domain expertise they are starving for.

Official Role Description: Oura

Our mission at Oura 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. 

This is a remote US role with a preference for candidates based in San Francisco, San Diego, or Boston. We have offices in San Francisco and San Diego for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations.

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. 

 

Requirements

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

 

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 $172,000 – $203,000
  • Region 2 $158,000 – $187,000
  • Region 3 $147,000 – $174,000

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)

 

Oura 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 Oura 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.

Disclaimer: Beware of fake job offers!
We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:

  • Our jobs are listed only on the ŌURA Careers page and trusted job boards.
  • We will never ask for personal information like ID or payment for equipment upfront.
  • Official offers are sent through Docusign after a verbal offer, not via text or email.

Stay cautious and protect your personal details.

To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization’s location. Oura is not responsible for any fees related to unsolicited resumes.

Melissa Kashouh

Founder of Talent One I help enterprise leaders and investors forecast hiring surges, talent shortages, and market friction up to six weeks in advance using our patent-pending predictive intelligence platform. As the founder of Talent One AI (the intelligence layer of The Talent One), I built a system that turns lagging recruiting data into actionable foresight — helping companies reduce technical debt, protect employer brand, and hire ahead of the curve. Based in Providence, Rhode Island.
Talent One ● Entity Alert

Our Proprietary Predictive Labor Market Intelligence is Now Patent-Pending.

The Talent One has officially filed for patent protection on our core predictive system. We have moved talent intelligence from reactive placement to true foresight, allowing us to forecast hiring bottlenecks 6 weeks early with 84.6% directional accuracy.

Verified Backtest Diagnostics
Emerging Defense Tech 86.1 HEAT
Specialized Biotech 84.9 HEAT
Advanced Energy 81.7 HEAT
Request Executive Brief
Request Full Pitch Deck

For qualified partners only. Quick form required — we review before granting access.