Oura·Hybrid - San Francisco, California·5 дн назад
Senior Data Analytics Engineer, Hardware Quality
172 550 – 203 000 $ в год
≈ 1,2 млн–1,4 млн ₽
🔄 ГибридSeniorПолная занятость
Вилки нет, про деньги придётся договариваться с нуля.
Наша компания
Our mission at Oura 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 w
О роли
We are looking for a Senior Quality Data Engineer – Hardware to join our Hardware Quality Engineering team. In this role, you will bring together manufacturing, test, device telemetry, field, warranty, and failure analysis data to understand how our products are performing and where we can improve. You will work closely with engineering and manufacturing teams to identify quality trends, investiga
Чем предстоит заниматься
Analyze manufacturing, factory test, device telemetry, field, warranty, and failure analysis data to identify quality trends and emerging issues
Connect data across manufacturing systems, test logs, device telemetry, and field returns to understand relationships between how a product was built, how it performed during test, and how it performs in the field
Support failure investigations by identifying patterns and correlations that help connect field failures back to manufacturing processes, components, test results, or product behavior
Compare failed and known-good populations to identify manufacturing, test, telemetry, or component signals associated with downstream failures
Analyze manufacturing and final test parameters to identify marginal passes, abnormal trends, and opportunities to improve screening and escape detection
Build cohort-based warranty and field-quality analysis across product, build, factory, component, configuration, and time in field
Develop monitoring and early-warning indicators that help identify emerging quality issues before they become larger field or warranty problems
Partner with Quality and Engineering teams to validate findings through failure analysis, controlled builds, additional inspection, or process experiments, and measure whether corrective actions are working
Identify gaps in manufacturing and quality data, including missing data, inconsistent definitions, traceability gaps, or conflicting metrics, and work with the appropriate teams to resolve them
Build scalable analytics, dashboards, and automated reporting that give engineering teams clear visibility into product and manufacturing quality
Partner with Data Engineering and Data Science teams when new data pipelines or infrastructure are needed while owning the Hardware Quality use cases and analysis
Communicate findings clearly and turn complex datasets into conclusions and recommendations that engineering teams and leadership can act on
Наши требования
5+ years of experience working with data in engineering, manufacturing, quality, reliability, operations, or a related technical environment
Strong SQL skills and hands-on experience with Python for data analysis and automation
Experience working with large datasets and turning ambiguous engineering or product questions into structured analysis
Experience with manufacturing, hardware test, reliability, warranty, field, or product data
Working knowledge of statistics and experience comparing populations, identifying correlations, and evaluating trends
Experience building analytics and visualizations using Tableau, Databricks, or similar tools
Strong problem-solving skills and curiosity to understand why a product or process is behaving the way it is
Ability to work effectively across Hardware, Manufacturing, Firmware, Quality, Reliability, and Data teams
Ability to communicate technical findings clearly to both engineering teams and leadership
Experience validating data outputs from AI/ML models to manufacturing data sets via python, athena data analysis
Experience with consumer electronics, wearables, IoT, medical devices, or other high-volume hardware products
Experience working with manufacturing test data, MES, serialized device traceability, factory process data, or device telemetry
Experience analyzing warranty, RMA, reliability, or field-return data
Experience correlating manufacturing or test parameters with downstream product failures
Understanding of hardware test, manufacturing processes, failure mechanisms, battery behavior, or electrical systems
Experience with statistical process control, anomaly detection, predictive analytics, or similar techniques applied to hardware or manufacturing problems
Familiarity with Databricks, Tableau, AWS, dbt, or similar data and analytics platforms
Мы предлагаем
At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health
Competitive salary and equity packages
Health, dental, vision insurance, and mental health resources
An Oura Ring of your own plus employee discounts for friends & family
20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
Paid sick leave and parental leave
Oura 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
Region : $172,550- $203,000
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