Senior Data Scientist, Hardware Quality
Core
Build data science and decision systems to make Oura hardware more reliable, from early product testing through field performance and warranty outcomes.
Role type
Senior IC applied data scientist (hardware quality & reliability)
Builds
Production AI-enhanced dashboards, monitoring, and decision-support tools for hardware reliability
Domain
Consumer hardware / wearables / IoT
Deliverable
production ML models
Required skills
statistical modeling, machine learning, survival analysis, hazard modeling, accelerated-life testing, degradation modeling, warranty forecasting, SQL, Python, data engineering, experimental design, cloud platforms (Databricks, AWS, dbt, Snowflake)
Preferred skills
consumer electronics, wearables, IoT, batteries, embedded systems, firmware, sensors, manufacturing data analysis, MES/ERP, predictive maintenance
Technologies
Databricks, AWS, dbt, Snowflake, SQL, Python
Responsibilities
Build and evolve reliability and quality models (warranty forecasts, runtime degradation, failure-mode prediction); Develop diagnostics and root-cause analysis systems connecting telemetry and manufacturing data; Partner with cross-functional teams to identify reliability risks; Analyze component and manufacturing variation to inform quality improvements; Build trusted analytical data pipelines; Establish robust measurement practices for hardware quality; Translate technical findings into recommendations for hardware roadmaps and quality plans.
Seniority
Senior, hands-on IC
