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Micron Technology

Makes memory and storage chips for AI and PCs

Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • A Bachelor's degree in Computer Science, Data Science, Operations Research, Mathematics, or equivalent is required.
  • Have coworking experience with cross-functional teams such as solution architects, data engineers, or machine learning engineers, or equivalent.
  • Demonstrate proficiency in Python for data analysis and modeling.
  • Have a solid foundation in statistics and/or machine learning, including supervised and unsupervised learning, model evaluation, and feature engineering.
  • Have experience with SQL for data extraction and manipulation.
  • Have experience with version control using Git.
  • Be familiar with building interactive data applications or dashboards such as Streamlit, Power BI, or similar tools.
  • Have strong verbal and written communication skills, including the ability to explain complex analytical results clearly.
  • Be able 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.

Responsibilities

  • Build and productionize classification and regression machine learning models to support predictive and prescriptive analytics across semiconductor test and manufacturing processes.
  • Contribute to the design and implementation of multi-agent systems for product quality workflows, including code generation, automated troubleshooting, and process optimization.
  • Work with retrieval-augmented generation pipelines by identifying data sources, developing retrieval strategies, and improving context quality for large language model applications.
  • Assist in implementing tool-using capabilities, function calling, and agent memory systems.
  • Develop maintainable code and analytical pipelines suitable for high-volume manufacturing environments.
  • Optimize performance, latency, and token efficiency.
  • Collaborate with senior team members on testing, deployment, and monitoring.
  • Communicate analytical insights, model behavior, and results clearly to technical and non-technical stakeholders.
  • Integrate AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness while exercising sound judgment and complying with organizational standards and legal requirements.
  • Identify, test, and share AI-enabled enhancements within the scope of work to contribute to continuous improvement.

About the Company

Micron Technology

Makes memory and storage chips for AI and PCs

Micron Technology designs and manufactures memory and storage chips, mainly DRAM and NAND flash, used in data centers, PCs, phones, cars and industrial equipment. It is one of only three companies that make HBM, the stacked high-bandwidth memory placed beside processors in AI servers, and it is the largest memory chipmaker based in the United States. Unlike chip designers that outsource production, Micron runs its own fabs and assembly sites in the United States and across Asia. It earns money by selling chips, memory modules and solid-state drives to cloud providers, device makers and distributors. Micron was founded in 1978 and is headquartered in Boise, Idaho.

Company size
10,001+
Company stage
IPO
Headquarters
Boise, ID
Founded
1978

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