ESSENTIAL DUTIES AND RESPONSIBILITIES:
- Perform data mining and analytics for Quality Assurance (QA) in semiconductor Assembly & Testing processes
- Understand QA business workflows (e.g., SPC, 8D, defect management) and translate business needs into scalable data solutions
- Design and develop end-to-end data pipelines, including data ingestion, transformation, modeling, and visualization
- Develop analytical methods such as anomaly detection, trend analysis, and predictive modeling to enhance quality control
- Drive the transformation of quality management from manual processes to automated and intelligent systems
- Develop dashboards, reports, and automated QA-related business applications
- Collaborate with IT, data teams, and business stakeholders to integrate data platforms with operational systems
- Explore and implement AI/GenAI use cases in quality engineering, such as intelligent insights and automated reporting
