Industrial Engineer

ams OSRAM

Develop and maintain capacity models to support strategic, tactical, and operational manufacturing planning
Perform bottleneck analyses, scenario simulations, and capacity assessments
Translate demand forecasts into equipment, facility, and infrastructure requirements
Drive CAPEX planning by developing business cases and performing ROI and Cost of Ownership evaluations
Support layout optimization initiatives to improve space utilization and operational efficiency
Develop and maintain dashboards, KPIs, forecasts, and decision-support models to enable data-driven capacity and investment decisions

Master's degree (M.Sc.) or Dipl.-Ing. in Industrial Engineering, Physics, Data Science, Production Engineering, or a related field
Several (3+) years of experience in e.g. Industrial Engineering, Capacity Planning, Factory Planning, Semiconductor Manufacturing, or a related field
Proficiency in production data analysis, KPI development, and data visualization tools such as Spotfire, Power BI, Python, SQL, or similar platforms
Experience in developing business cases and conducting CAPEX evaluations, including ROI and Cost of Ownership analyses
Practical experience or accredited Micro-Credentials in Artificial Intelligence (AI), Data Science, Advanced Analytics, Digital Manufacturing, or related fields are considered a strong advantage
Strong analytical, problem-solving, and communication skills with the ability to translate complex data into actionable business recommendations
Fluency in English

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