About the role
Senior Staff Engineer Industrial Engineering (Productivity & Digitalization) role based on the published job description. Key responsibilities and requirements were extracted directly from the posting for quick review.
IDMOnsiteBE
Key Responsibilities
- Key responsibilities in your new role Project Management & Solution Ownership: Take end-to-end ownership of Digitalization/Productivity/Benchmarking projects, from initial data ingestion (Oracle/Database Warehouse) to final deployment and be Project manager of productivity project to drive the improvement project to boost next level of productivity across BE.
- Manage the lifecycle of predictive algorithms.
- Workforce optimization and equipment-man ratio forecasting.
- Stakeholder Collaboration: Change management.
- Partner with global stakeholders to translate operational pain points into technical AI requirements for better efficiency and productivity.
- Customer-Centric Innovation: Actively research and pilot emerging AI trends to reduce "non-value added" activities.
Requirements
- Qualifications and skills to help you succeed Bachelor's or Master's degree in Computer Science, Data Science, Industrial Engineering (with a programming focus), or a related technical field.
- Prior experience or strong interest in Semiconductor Manufacturing or high-tech industrial environments Programming & AI : Strong proficiency in Python (Pandas, NumPy) and experience with Generative AI frameworks (e.g., LangChain, OpenAI API, or AWS Bedrock).
- Data & Visualization : Advanced skills in Tableau, Power BI, and KNIME for complex data blending and visualization.
- Systems : Familiarity with SQL/Oracle databases and MES (Manufacturing Execution Systems).
- Possess Project Management, Stakeholders Engagement, Communication and Problem-Solving skills Able to work in fast paced working environment.