Job Description

Key Responsibilities

• Analyze production data to identify yield, cycle time, and cost improvement opportunities on assigned manufacturing lines.

• Plan and execute Lean, Six Sigma, and TPM projects — from DOE design through implementation and results validation — as part of the site’s Operational Excellence roadmap.

• Build and deploy machine learning models for manufacturing use cases — e.g., yield prediction, computer-vision defect detection, and anomaly/excursion detection — in partnership with Data Science/IT.

• Develop real-time dashboards, automated reports, and data pipelines that give engineers and operators faster visibility into process performance.

• Support automation and Industry 4.0 initiatives — MES integration, IIoT sensor deployment, and robotics/automated material handling — from pilot through production rollout.

• Maintain and improve statistical process control (SPC) systems, monitoring process capability