{"id":3790498,"url":"https://alion.io/job/oura-senior-data-scientist-hardware-quality","title":"Senior Data Scientist, Hardware Quality","company":{"id":63542,"name":"Oura","domain":"oura.com","url":"https://alion.io/company/oura","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":83,"open_postings":15,"ghost_share":0,"stale_share":0.467,"repost_share":0,"time_to_fill_p50_days":65,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":172000,"max":203000,"currency":"USD","period":"year","gross":null,"usd_annual":203000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Anomaly Detection","optional":true}],"status":"live","first_seen_at":"2026-11-05T03:52:28Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-09T21:38:34Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"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.\nEmpowering 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. \nAt Oura, our mission is to empower every person to own their inner potential. With our award-winning Oura Ring and app, we help millions of people turn insights about sleep, activity, and readiness into healthier, more balanced lives.We are looking for an experienced Senior Data Scientist to partner with Oura’s Hardware, Quality, Firmware, Manufacturing, Supply Chain, Support Engineering, and Finance teams. This role will help build the data science and decision systems that make Oura hardware more reliable, from early product testing and launch readiness through field performance, warranty outcomes, and long-term product improvement.You will work on some of the most important problems in consumer hardware: understanding why products fail, predicting reliability before issues reach members, connecting manufacturing and testing data to field outcomes, and turning complex engineering data into clear decisions. This is a full-stack applied data science role that combines data foundations, statistical modeling, machine learning, experimentation, and cross-functional technical leadership.\nWhat You Will Do:\nBuild and evolve reliability and quality models for current and next-generation Oura Ring products, including warranty forecasts, runtime degradation, survival analysis, failure-mode prediction, and cohort-based field-performance analysis.\nDevelop diagnostics and root-cause analysis systems that connect ring telemetry, firmware and engineering diagnostics, manufacturing records, supplier and component data, testing results, activations, and warranty outcomes.\nPartner with Hardware, Quality, Firmware, Battery Engineering, Manufacturing, Supply Chain, and Support Engineering to identify the highest-leverage reliability risks and translate them into measurable analytical problems.\nAnalyze component, supplier, manufacturing-process, and ring-build variation to identify drivers of product quality and inform corrective actions, design decisions, and supplier-quality improvements.\nBuild trusted analytical data products and pipelines that unify hardware, manufacturing, firmware, diagnostic, activation, and warranty data and make them usable for recurring analysis and decision-making.\nDevelop production AI-enhanced dashboards, monitoring, and decision-support tools that surface emerging failure risks and provide clear, actionable recommendations to technical and executive stakeholders.\nEstablish robust measurement practices for hardware quality, including metric definitions, cohorting, normalization, uncertainty, data-quality checks, and appropriate statistical methods.\nTranslate complex technical findings into concise recommendations that influence hardware roadmaps, launch decisions, quality plans, firmware priorities, warranty strategy, and member experience.\nTake end-to-end ownership of ambiguous, cross-functional problems and help raise the bar for data science practices through documentation, peer review, reusable tooling, and mentorship.\nThis is a remote US role with a slight preference for candidates based in San Francisco.\nWhat you'll bring:\n6+ years of experience in data science, machine learning, reliability engineering, quality analytics, or a closely related quantitative field, with a track record of owning high-impact problems end to end.\nDemonstrated experience applying statistical modeling, machine learning, experimentation, or advanced analytics to reliability, quality, manufacturing, hardware, IoT, electronics, automotive, medical devices, or another physical-product domain.\nStrong experience with reliability and time-to-event methods, such as survival analysis, hazard modeling, accelerated-life testing, degradation modeling, warranty forecasting, or related techniques.\nStrong proficiency in SQL and Python, with experience building analytical data models, statistical or machine-learning workflows, and production-quality measurement systems.\nStrong data-engineering intuition, including experience unifying and transforming data from multiple operational and technical systems into reliable datasets for analysis and modeling.\nExperience working with noisy, incomplete, longitudinal, or high-volume telemetry and test data, and the judgment to distinguish data artifacts from meaningful product signals.\nExperience designing experiments or observational analyses that support technical decisions, including an understanding of confounding, bias, uncertainty, and validation.\nExperience with modern cloud and data platforms such as Databricks, AWS, dbt, Snowflake, or similar tools.\nProven ability to communicate complex analytical concepts clearly to engineers, quality and operations partners, product leaders, and executives.\nProven ability to work effectively across distributed, cross-functional teams and to drive progress when requirements and data are still evolving.\nNice to have:\nExperience with consumer electronics, wearables, IoT, batteries, embedded systems, firmware, sensors, or connected devices.\nExperience analyzing manufacturing, supplier, component traceability, MES, ERP, engineering test, or warranty data.\nExperience with battery degradation, runtime modeling, charging optimization, power management, or electronics reliability.\nExperience building field-failure analysis, anomaly detection, predictive-maintenance, or early-warning systems.\nFamiliarity with hardware development and launch processes, including EVT, DVT, PVT, and field-test programs.\nBenefits\nAt 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.\nWhat we offer:\nCompetitive salary and equity packages\nHealth, dental, vision insurance, and mental health resources\nAn Ōura Ring of your own plus employee discounts for friends & family\n20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off\nPaid sick leave and parental leave\nŌura 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.\nRegion 1 $172,000- $203,000\nRegion 2 $158,950- $187,000\nRegion 3 $147,900- $174,000\nA recruiter can determine your Region based on your US location.\nWe 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).\nŌURA 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.\nWe 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.\nDisclaimer: Beware of fake job offers!\nWe’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:\nOur jobs are listed only on the ŌURA Careers page and trusted job boards.\nWe will never ask for personal information like ID or payment for equipment upfront.\nOfficial offers are sent through Docusign after a verbal offer, not via text or email.\nStay cautious and protect your personal details.\nTo 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. 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