Industrial Engineer - Contingent Worker

Requirements

• Lean manufacturing knowledge, Black Belt preferred
• The hourly pay range for this position is $75.00
• Your ZEISS Recruiting Team:
• Tina Eilerman

Additional Information

About ZEISS How many companies can say they've been in business for over 175 years? At ZEISS, we can. As pioneers of science, ZEISS continuously drives innovation to shape markets and support a sustainable future. Our diverse portfolio spans Industrial Quality & Research, Medical Technology, Consumer Markets, and Semiconductor Manufacturing Technology, with a global workforce of over 40,000 employees. Join ZEISS X-Ray Microscopy (XRM) and help enable breakthrough imaging technologies .High Resolution 3D X-ray Microscopy and Computed Tomography. What's the Role? We are seeking a Contingent Worker Industrial Engineer to support manufacturing operations within ZEISS XRM. In this role, you will analyze production performance, optimize resource planning, and drive continuous improvement initiatives to enhance efficiency and productivity across manufacturing lines. This is an excellent opportunity to partner with cross-functional teams and apply data-driven methodologies to improve operational performance in a high-tech environment. Perform capacity analysis for long‑ and medium‑term resource planning aligned with business forecasts. Perform time‑study data collection and analysis, driving continuous improvement based on lean line and bay build concepts. Analyze and recommend/execute efficiency and productivity improvements. Execute line balancing, line re-layout and process optimization to maximize line efficiency. Determine factory capacity constraints and inform stakeholders of optimization activities to reduce productivity bottlenecks Lead labor‑hour reduction and cycle‑time improvement projects to enhance operational productivity. Progress dashboards for production metrics, and lead KPI reporting projects. Education and Experience Bachelor's degree in Industrial Engineering or similar Five+ years' manufacturing environment experience: Industrial Engineering, Manufacturing Engineering, Supply Chain, and/or Logistics Advanced statistical knowledge Excellent communication skills, written and verbal Excellent coding skills: Python and SQL preferred Experience building and maintaining dashboards Project management skills

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