[All remote jobs](https://jobicy.com/jobs.md)[![ŌURA logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2026/07/011c99434cd6-221.webp)](https://jobicy.com/company/oura.md)[ŌURA](https://jobicy.com/company/oura.md) # Senior ML Data Scientist – Women’s Health Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/oura.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 147,900–203k / yrDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceSeniorPublished1 Nov 2026Apply before1 Dec 2026Listing views33Application actions2Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. ŌURA is hiring a senior machine learning data scientist to develop and commercialize wearable-data models for women’s health features. The role centers on time-series modeling, signal processing, statistical evaluation, model monitoring, and turning exploratory research into scalable product capabilities. The successful candidate will partner closely with scientists, product managers, engineers, designers, and test engineers while mentoring junior colleagues. This US-remote position requires advanced Python and SQL expertise, a relevant PhD, and demonstrated industry experience delivering production machine-learning systems. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior, research-to-production role requiring deep expertise in machine learning, health signals, statistical rigor, and commercialization. The candidate must independently lead complex initiatives and communicate technical decisions across technical and non-technical functions. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$175,450US market range (per year)$155k–$210k0$231.00k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses US pay ranges of $147,900–$203,000. The posting does not explicitly state the cadence, so yearly compensation is inferred from the professional senior-level US role and the scale of the stated pay bands. Estimated US market compensation for a senior machine learning data scientist in digital health is $155,000–$210,000 per year. ## Core skills Skills and capabilities most closely associated with this opportunity. [Machine Learning](https://jobicy.com/jobs?search_keywords=Machine%20Learning.md)[Data Science](https://jobicy.com/jobs?search_keywords=Data%20Science.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Time-Series Analysis](https://jobicy.com/jobs?search_keywords=Time-Series%20Analysis.md)[Deep Learning](https://jobicy.com/jobs?search_keywords=Deep%20Learning.md)[Signal Processing](https://jobicy.com/jobs?search_keywords=Signal%20Processing.md)[Statistical Modeling](https://jobicy.com/jobs?search_keywords=Statistical%20Modeling.md)[Model Validation](https://jobicy.com/jobs?search_keywords=Model%20Validation.md)[Model Monitoring](https://jobicy.com/jobs?search_keywords=Model%20Monitoring.md)[Wearable Health Data](https://jobicy.com/jobs?search_keywords=Wearable%20Health%20Data.md)[Experimental Design](https://jobicy.com/jobs?search_keywords=Experimental%20Design.md)[Product Commercialization](https://jobicy.com/jobs?search_keywords=Product%20Commercialization.md)[Cross-Functional Collaboration](https://jobicy.com/jobs?search_keywords=Cross-Functional%20Collaboration.md)[Technical Communication](https://jobicy.com/jobs?search_keywords=Technical%20Communication.md) Sample interview questionsHow would you develop a machine-learning feature from wearable time-series data through production launch?I would begin by defining the user and clinical-product objective, data availability, labels, and success metrics. I would build a reproducible pipeline for data quality checks, feature development, training, validation, subgroup analysis, and calibration, then work with product and engineering on deployment, monitoring, and iteration. How do you validate a health-related machine-learning model when data may vary across users and devices? I use participant-level train-test splits to prevent leakage, evaluate performance across relevant demographic and behavioral subgroups, and assess robustness to missingness and device variability. I also define monitoring thresholds and periodically re-evaluate calibration, drift, and real-world outcome metrics after launch. Describe how you would communicate a complex model-performance tradeoff to product and non-technical stakeholders. I would connect the tradeoff to user impact and business decisions using simple visualizations and plain-language examples. For example, I would explain how improving sensitivity could increase false alerts, quantify the expected impact, and recommend a threshold based on the intended user experience and safety requirements. What is your approach to exploratory research that may not yet have a clear product specification? I frame an initial hypothesis, establish measurable feasibility criteria, and rapidly investigate signal quality, label reliability, and baseline models. I document findings, limitations, and next experiments so the team can make an evidence-based decision about whether to invest in productization. How have you supported junior data scientists while maintaining delivery velocity? I set clear technical standards, break work into well-defined milestones, and provide regular feedback through design reviews and code reviews. I pair mentorship with ownership by giving team members meaningful components to lead while remaining available to unblock critical technical or stakeholder decisions. Opportunity details ## About this role. 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](https://ouraring.com/about-us) 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 – $203,000 Region 2: $158,950 – $187,000 Region 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. 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: ŌURA does not accept agency resumes. Please do not forward resumes to our jobs alias, ŌURA employees, or any other organization’s location. ŌURA is not responsible for any fees related to unsolicited resumes. 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