Data Scientist, SMAI

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD.; Singapore; On-site; SGD 90,000 - 180,000; Full time

Job summary

Micron Semiconductor Asia Operations Pte. Ltd. seeks a quantitative professional to design and deploy digital twin solutions for manufacturing optimization. You will collaborate with manufacturing, planning and supply chain teams to transform data into actionable insights and scalable software.

You will build data pipelines, APIs, modeling engines and UIs, and drive deployment and continuous improvement across Micron's global sites with AI-assisted tooling and responsible practices.

Qualifications

• Bachelor's degree in a quantitative field with strong programming ability.
• Hands-on experience in OR, DES, optimization and practical solutions.
• Experience developing software applications using Python, SQL, Java, C/C++, C#, JS/HTML/CSS.
• Knowledge of APIs, Git, CI/CD, cloud platforms, ETL/data pipelines, and AI-assisted tools.
• Experience in manufacturing, supply chain, logistics or semiconductor operations is a plus.
• Strong problem-solving, communication, and independent work in fast-changing environments.
• Ability to apply AI literacy and use AI tools responsibly for analysis and operational tasks.

Responsibilities

• Partner with stakeholders to identify, analyze, and solve complex business problems.
• Design, develop, and deploy digital twin solutions using OR, optimization, and DES.
• Build production-grade apps, data pipelines, modeling engines, APIs, and UIs.
• Transform large datasets into actionable insights and decision-support tools.
• Drive deployment, adoption, benchmarking, and continuous improvement across sites.
• Collaborate with data scientists, product owners, AI engineers, and domain experts.
• Integrate AI-assisted tools into daily work while complying with standards and laws.
• Identify and share AI-enabled enhancements to improve efficiency and outcomes.

Skills

Operations Research

Discrete Event Simulation

Mathematical Optimization

Full-stack development

Python

SQL

Java

APIs

AI literacy

Education

Bachelor's degree in Computer Science, Operations Research, Industrial Engineering, Applied Mathematics, Data Science, Engineering

Tools

Git

CI/CD

Cloud platforms

ETL/Data pipelines

HTML/CSS/JavaScript

Job description

Responsibilities include, but not limited to:

• Partner with stakeholders from Micron manufacturing, planning and supply chain departments to identify, analyze, and solve complex business problems.
• Design, develop, and deploy digital twin solutions using Operations Research, mathematical optimization, and Discrete Event Simulation techniques.
• Design and develop production-grade applications, including data pipelines, data cleaning, modeling engines, APIs, and user-interface applications.
• Transform large and diverse datasets into actionable insights, decision-support tools, and scalable software solutions.
• Drive deployment, adoption, benchmarking, and continuous improvement of solutions across Micron's global manufacturing sites.
• Collaborate with Data Scientists, Product Owners, AI Engineers and domain experts throughout the solution lifecycle.
• 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, Operations Research, Industrial Engineering, Applied Mathematics, Data Science, Engineering, or related quantitative disciplines with demonstrated strong programming and modeling capabilities.
• Hands‑on experience in Operations Research, Discrete Event Simulation, mathematical optimization, decision science, with demonstrated ability to develop and implement practical solutions for operational problems.
• Past experience developing software applications using Python, SQL, Java, C/C++, C#, JavaScript, HTML/CSS, or similar technologies, with strong full‑stack development capabilities.
• Knowledge of modern software development practices including APIs, Git, CI/CD, cloud platforms, ETL/data pipelines, and AI‑assisted development tools.
• Experience in manufacturing, supply chain, logistics, planning, semiconductor operations, or related industrial environments is a plus.
• Strong problem‑solving skills with structured and logical thinking approaches, effective communication skills, and the ability to work independently in ambiguous and fast‑changing environments.
• 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.