Full-timeTech & engineering· Posted 20 Sept

ENGINEER - PLN Operation Intelligence

MicronFrom company site

Salary

Not stated by the company

When

Full-time hours

Where

Singapore

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Start: Not stated
Work mode: On-site
Experience: Some experience

About the role

This role sits within the PLN Operation Intelligence team at Fab 10N/X in Singapore, where you will apply analytics, modelling and optimisation to improve complex manufacturing operations. It suits an engineer or analyst with a strong quantitative background who enjoys working with stakeholders across a fast-moving semiconductor environment.

What you'll do

Apply modelling, operations research, data analytics, machine learning and web application skills to raise manufacturing operation efficiency and capability
Explain approaches and methodologies for analytics, reporting solutions and scheduling optimisation
Manage projects including gathering requirements, estimating resources, managing time, engaging stakeholders and delivering outputs

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Work closely with team members and stakeholders inside and outside the organisation

Take part in multi-area focus teams to resolve complex manufacturing constraints

Present projects, approaches and data to audiences at different stakeholder levels

Use AI-assisted tools and insights in daily work to improve efficiency, quality or effectiveness while exercising sound judgment and meeting organisational and legal standards

Support a culture of continuous improvement by finding, testing and sharing AI-enabled enhancements within your scope

Good to know

Based at Fab 10N/X, Singapore
Role involves collaboration with internal and external stakeholders

Requirements

Master's or Bachelor's degree in Business Analytics, Data Science and Analytics, Industrial and Systems Engineering, Statistics or a related field
Basic programming skills, preferably C#, Python or SQL
Experience with cloud infrastructure such as GCP, AWS or Azure
Knowledge of data analytics, business intelligence and machine learning is an advantage
Knowledge of manufacturing operations, scheduling optimisation or capacity and cycle time modelling is an advantage
Highly motivated, adaptable and comfortable in a fast-paced, rapidly changing environment

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ENGINEER - PLN Operation Intelligence

About the role

What you'll do

Good to know

Requirements

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