Senior Data Scientist, Hardware Quality

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. At 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. What You Will Do: Build 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. Develop 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. Partner 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. Analyze component, supplier, manufacturing-process, and ring-build variation to identify drivers of product quality and inform corrective actions, design decisions, and supplier-quality improvements. Build 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. Develop production AI-enhanced dashboards, monitoring, and decision-support tools that surface emerging failure risks a