Senior Data Scientist: AI, Optimization & Digital Twins

Micron Technology, Inc.; Singapore; On-site; SGD 100,000 - 140,000; Full time

Job summary

Micron Technology, Inc. is seeking a Data Science Engineer to develop methods for consolidating and analyzing large datasets from diverse sources.

You will work with data scientists, engineers, and UX teams to identify questions and build predictive models and actionable insights for product and service improvements. You will apply AI-enabled techniques, integrate data across global sites, and contribute to continuous improvement in production metrics and decision support.

Qualifications

• Bachelor's degree in CS/DS/IE/OR or equivalent with strong programming and modeling skills.
• Past semiconductor industry experience preferred, especially digital twin for operations.
• Experience in discrete event simulation and optimization modeling (MIP/LP).
• Knowledge of cloud solutions, APIs, Git, and ETL processes; able to learn quickly.

Responsibilities

• Design, develop, and program methods to analyze unstructured big data and generate insights.
• Interact with product/service teams to define questions for data analysis and experiments.
• Develop software to cleanse, integrate, and evaluate large datasets from multiple sources.
• Identify meaningful insights from data and metadata and communicate findings to stakeholders.
• Explore new AI-enabled approaches to improve efficiency and predictive capabilities.

Skills

Java

Python

SQL

C/C++

HTML/CSS

APIs

Git

ETL

Cloud solutions

Discrete event simulation

Optimization modeling

Operations Research

AI literacy

Education

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

Tools

Apache Kafka

Git

Job description

Micron Technology, Inc. is seeking a Data Science Engineer to develop methods for consolidating and analyzing large datasets from diverse sources.

You will work with data scientists, engineers, and UX teams to identify questions and build predictive models and actionable insights for product and service improvements. You will apply AI-enabled techniques, integrate data across global sites, and contribute to continuous improvement in production metrics and decision support.