SMAI Data Scientist

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Micron Singapore is seeking a Data Science Engineer to apply mathematics, statistics, semiconductor physics, materials science and IT to uncover patterns in data and develop predictive models and actionable insights.

You will collaborate with Data Scientists, Data Engineers and UX teams to cleanse, integrate and evaluate large datasets, build software, algorithms and automated processes, and drive improvement of production metrics and planning.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Industrial Engineering, OR equivalent with strong programming and modeling skills.
• Experience in semiconductor industry, especially in digital twin
• Experience in simulation modeling using discrete event simulation
• Experience in optimization modeling or OR using MILP/LP
• Knowledge of cloud solutions, API, Git, ETL
• Experience in JAVA, Python, SQL, HTML, C/C++, CSS and quick learning
• Strong problem solving and communication skills

Responsibilities

• Design, develop, and program methods to consolidate and analyze big data sources to generate actionable insights.
• Interact with product and service teams to identify questions and experiments for data analysis.
• Develop software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets.
• Identify meaningful insights from large data and metadata sources.
• Interpret and communicate insights and findings to managers.
• Explore and apply new frontier ideas to enable breakthrough solutions at Micron.
• Work with management and global sites to identify optimization opportunities and improve production metrics.
• Drive global collaboration and benchmarking of optimization and simulation solutions in planning & operations

Skills

Python

SQL

Java

C/C++

ETL

Git

Cloud solutions

Discrete event simulation

Education

Bachelor's degree in Computer Science, Data Science, Industrial Engineering, Operations Research or equivalent

Tools

APIs

ETL tools

Git

Job description

As a Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.

You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you will help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and new solution development activities.

Responsibilities include, but not limited to:

• Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement.

• Interact with product and service teams to identify questions and issues for data analysis and experiments.

• Develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.

• Identify meaningful insights from large data and metadata sources.

• Interpret and communicate insights and findings from analysis and experiments to product, service, and business managers.

• Explore and apply new frontier ideas, concepts and technology to enable breakthrough solutions at Micron.

• Work with management, different departments, and global manufacturing sites to identify optimization opportunities and deliver solutions to continuously improve production metrics.

• Drive global collaboration, alignment, and benchmarking of optimization and simulation solutions in planning & operations

AI Responsibilities:

• 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.
  

Minimum Qualifications & Skills Required:

• Bachelor's degree in Computer Science, Data Science, Industrial Engineering, Operations Research or equivalent with demonstrated strong programming and modeling capabilities.

• Past experience in semiconductor industry, especially in semiconductor operations digital twin

• Past experience in simulation modeling using discrete event simulation

• Past experience in optimization modeling or Operations Research using mix integer programming, linear programming, etc.

• Knowledge and past experience with cloud solutions, API, GIT, ETL

• Past experience in JAVA, Python, SQL, HTML, C/C++, CSS, and with demonstrated fast learning capacities in programing languages

• Strong problem solving skills with structured & logic approaches, clear & effective communication skills

AI Requirements:

• 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