Senior Data Scientist, Hardware Quality at Oura · LumiJobs

Responsibilities

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 and provide clear, actionable recommendations to technical and executive stakeholders.
Establish robust measurement practices for hardware quality, including metric definitions, cohorting, normalization, uncertainty, data-quality checks, and appropriate statistical methods.
Translate complex technical findings into concise recommendations that influence hardware roadmaps, launch decisions, quality plans, firmware priorities, warranty strategy, and member experience.
Take 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.
This is a remote US role with a slight preference for candidates based in San Francisco.
What you'll bring:
6+ 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.

Senior Data Scientist, Hardware Quality

Responsibilities

Qualification

Preferred

Benefits

Company

Oura

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