ENGINEER - PLN OI

micron

Singapore

On-site

SGD 90,000 - 130,000

Full time

8 days ago
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Job summary

Micron Technology, Inc. in Singapore seeks a data analytics professional to optimize manufacturing operations and scheduling, applying analytics, OR, and ML to improve efficiency.

You will collaborate with stakeholders, translate requirements into analytics solutions, and contribute to cloud-based data infrastructure using GCP/AWS/Azure.

The ideal candidate has a Master’s or Bachelor’s in a relevant field, strong programming skills in C#, Python, SQL, and a passion for semiconductor manufacturing.

Qualifications

  • Master’s or 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 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

Responsibilities

  • 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.

Skills

C#
Python
SQL
Cloud platforms
Data analytics
BI
Machine learning
Manufacturing ops
Scheduling optimization

Education

Business Analytics
Data Science
Industrial Engineering
Statistics

Tools

GCP
AWS
Azure

Job description

Job Description

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

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.
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
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
About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich lifefor all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities - from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

To request assistance with the application process and/or for reasonable accommodations,please contact hrsupport_sg@micron.com

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

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