ENGINEER - PLN Operation Intelligence

Responsibilities and Tasks:

• Use knowledge of modeling, operation research, data analytics, machine learning and web application to Improve complex manufacturing operation efficiency and capabilities.

• Communicate effectively on approach and methodology in developing analytics, reporting solution and scheduling optimization.

• Demonstrate sound project management skills in requirement gathering, resource estimation, time management, stakeholders' engagement and deliverables deliveries.

• Collaborate effectively with team members and stakeholders both internally and externally.

• Participate in multi-area focus teams to improve complex constraint in manufacturing operation

• Possess excellent verbal and written communication skills and the ability to present project/approach/data in meetings with varying level of stakeholders.

• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements. 

  Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work. 

   

   

Requirements:

• Drive to make a difference and passion to explore new frontiers!

• Proactive and collaborate effectively in a rapidly changing environment.

• Highly motivated, with a strong work ethic, and can work independently.

• Master’s / Bachelor’s Degree in Business Analytics, Data Science and Analytics, Industrial and Systems Engineering, Statistics or related field of study.

• Proficiency in basic programming skills preferably C#/Python/SQL and experience in cloud-based infrastructure such as GCP/AWS/Azure.

• Knowledge and experience in data analytics, business intelligence and machine learning is a plus.

• Knowledge and experience in Manufacturing Operation, Scheduling Optimization, Capacity/Cycle Time Modelling is a plus.

• Interest in and knowledge of the semiconductor industry and Micron

• Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes.

• Embody Micron’s core values: 
  People – Respect, develop, and empower others 
  Innovation – Drive continuous improvement and breakthrough thinking 
  Tenacity – Show grit and determination 
  Collaboration – Build trust and foster teamwork 
  Customer Focus – Deliver excellence and value