Research Scientist in Industrial Engineering / analytics-driven manufacturing optimization – Beijing, China
Core
R&D Scientist performing research in factory data mining, production process modeling, efficiency optimization, and quality improvement for HV products.
Role type
Research Scientist (Industrial Engineering/Data Science)
Builds
Production process optimization models, data diagnosis models, and quality improvement solutions.
Domain
Industrial Engineering / Manufacturing / Data Science
Deliverable
production ML models | product features
Required skills
Data mining, statistical analysis, machine learning, optimization algorithm design, mathematical programming, industrial data processing, root cause analysis, condition monitoring
Preferred skills
Quality management systems, manufacturing technologies, multi-physics collaboration
Technologies
Python, Matlab
Responsibilities
Analyze production data and equipment status to extract key features affecting efficiency and quality; Develop production process optimization solutions using modeling and algorithms; Develop production process diagnosis models to identify quality issues and create improvement solutions; Collaborate with colleagues on HV products, materials, and multi-physics to drive optimization initiatives.
Seniority
Senior, hands-on IC
