Industrial Engineer

What you'll do

• Lead strategic projects to streamline business processes, improve supply chain operations, and reduce costs.
• Manage the complete project life cycle from initial process analysis to final implementation.
• Structure complex business problems to develop hypotheses and deliver data-driven recommendations.
• Perform rigorous analysis on large data sets to identify patterns, trends, and opportunities.
• Develop and deploy interactive data visualizations, mockups, and reports using Power BI.
• Build diagnosis and prediction models using statistical computer languages like Python and SQL.
• Create training materials and administer end-user training using generative AI models and tools.
• Optimize business processes to improve performance and shrink cycle times.

What we're looking for

• Master's Degree in Industrial Engineering, Computer Science, or equivalent with a GPA of 3.0 or above.
• Broad understanding and experience in logistics, financial reporting, purchasing, and service business management.
• Experience using statistical computer languages such as Python and SQL to manipulate large data sets.
• Knowledge of machine learning techniques including clustering, decision tree learning, and neural networks.
• Knowledge of advanced statistical techniques such as regression, distributions, and statistical tests.
• Excellent oral and written communication, organizational, analytical, and interpersonal skills.
• Knowledge of Lean / Six Sigma.
• 1-3 years of relevant work experience, preferably in the Semiconductor industry or consulting (preferred).