Data Scientist- Hardware Quality (Hybrid)
Core
Transform complex hardware quality data into strategic insights to drive business decisions and anticipate customer quality expectations.
Role type
Senior IC data scientist (hardware quality)
Builds
Predictive models, automated data pipelines, and monitoring systems for quality issues
Domain
Hardware manufacturing / Supply chain quality management
Deliverable
production ML models | dashboards & analysis
Required skills
Statistical analysis, hypothesis testing, correlation analysis, quality management processes, Python or R, data visualization, executive storytelling
Preferred skills
Master's degree, big data platforms experience
Responsibilities
Identify critical quality indicators and translate them into analytical frameworks; Conduct advanced statistical analyses to uncover patterns in large datasets; Connect disparate quality metrics across the product lifecycle; Design automated data pipelines to proactively detect quality issues; Develop predictive models to support business initiatives; Translate complex findings into clear narratives for executive audiences
Seniority
Senior, hands-on IC
