Senior Data Scientist (Hardware Quality)

Location: Remote - United States; slight preference for candidates based in San Francisco. Candidates residing in Alaska, Delaware, Iowa, Mississippi, Nebraska, South Dakota, West Virginia, or Wisconsin are not considered.

Salary: $172,000–$203,000 for Region 1, $158,950–$187,000 for Region 2, or $147,900–$174,000 for Region 3, based on US location and qualifications.

Company

hirify.global develops Oura Ring wearable hardware and a connected app that provide insights into readiness, activity, sleep, and health.

What you will do

• Build reliability and quality models for current and next-generation Oura Ring products, including warranty forecasts, runtime degradation, survival analysis, failure-mode prediction, and field-performance analysis.
• Develop diagnostics and root-cause systems connecting telemetry, firmware diagnostics, manufacturing, supplier and component data, testing, activations, and warranty outcomes.
• Partner with Hardware, Quality, Firmware, Battery Engineering, Manufacturing, Supply Chain, Support Engineering, and Finance to identify reliability risks and define analytical problems.
• Analyze component, supplier, manufacturing-process, and ring-build variation to inform corrective actions, design decisions, and supplier-quality improvements.
• Build reliable analytical data products and pipelines, plus production AI-enhanced dashboards, monitoring, and decision-support tools.
• Translate technical findings into recommendations for hardware roadmaps, launch decisions, quality plans, firmware priorities, warranty strategy, and member experience; mentor peers and improve data science practices.

Requirements

• 6+ years of experience in data science, machine learning, reliability engineering, quality analytics, or a closely related quantitative field, including end-to-end ownership of high-impact problems.
• 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.
• Strong experience with reliability and time-to-event methods, including survival analysis, hazard modeling, accelerated-life testing, degradation modeling, or warranty forecasting.
• Strong proficiency in SQL and Python, including analytical data models, statistical or machine-learning workflows, and production-quality measurement systems.
• Data-engineering intuition and experience unifying data from multiple operational and technical systems into reliable analysis and modeling datasets.
• Experience working with noisy, incomplete, longitudinal, or high-volume telemetry and test data, distinguishing data artifacts from meaningful product signals.
• Experience designing experiments or observational analyses with attention to confounding, bias, uncertainty, and validation.
• Experience with modern cloud and data platforms such as Databricks, AWS, dbt, Snowflake, or similar tools.
• Ability to communicate complex analytical concepts to engineers, quality and operations partners, product leaders, and executives, and to drive progress across distributed cross-functional teams.

Nice to have

• Experience with consumer electronics, wearables, IoT, batteries, embedded systems, firmware, sensors, or connected devices.
• Experience analyzing manufacturing, supplier, component traceability, MES, ERP, engineering test, or warranty data.
• Experience with battery degradation, runtime modeling, charging optimization, power management, or electronics reliability.
• Experience building field-failure analysis, anomaly detection, predictive-maintenance, or early-warning systems.
• Familiarity with hardware development and launch processes, including EVT, DVT, PVT, and field-test programs.

Culture & Benefits

• Remote US employment with health, dental, vision, and mental health resources.
• Competitive salary and equity packages, with compensation adjusted by US location tier, skills, experience, qualifications, internal equity, and market conditions.
• Oura Ring provided, plus employee discounts for friends and family.
• 20 days of paid time off, 13 paid holidays, 8 days of flexible wellness time off, paid sick leave, and parental leave.
• Inclusive equal-opportunity workplace with reasonable accommodation during hiring and employment.

Hiring process

• Applications are accepted through the hirify.global Careers page and trusted job boards; hirify.global does not accept agency resumes.
• Official offers are sent through DocuSign after a verbal offer; recruiters will not request personal information or upfront equipment payments.