Intern will improve manufacturing performance through advanced analytics, statistical modeling, automation, and AI-enabled problem solving. The role analyzes large manufacturing datasets, develops predictive insights, automates reporting, and explores AI-based approaches that strengthen engineering decisions and operational performance. Key responsibilities include analyzing manufacturing, process, quality, and yield data to identify trends and opportunities, developing dashboards and automated reports, applying statistical methods and machine learning to investigate yield loss mechanisms and process variation, and collaborating with Yield Enhancement, Process Engineering, Process Integration, and Manufacturing teams on process optimization. Deliver one end-to-end analytics project with measurable impact.
What they are looking for
Details
- Work type
- Onsite
- Remote eligible
- No
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