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Micron Technology

Makes memory and storage chips for AI and PCs

Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Data Science, Statistics, AI, or a related Engineering field is required.
  • At least six months of hands-on working-level experience in data science, analytics, or scripting applications is required.
  • Strong Python programming skills are required.
  • At least six months of working experience with SQL for data extraction and manipulation is required.
  • Familiarity with statistical tools and methodologies such as Statistical Process Control, Design of Experiments, or Fault Detection and Classification/Equipment Data Analysis is required.
  • At least six months of experience applying data visualization tools such as Dash, Plotly, or Angular to present complex engineering data clearly is required.
  • Willingness to learn semiconductor manufacturing principles and collaborate closely with equipment and integration engineers to resolve production issues is required.
  • Effective communication and collaboration to bridge data science and traditional semiconductor engineering teams are required.
  • Analytical and problem-solving ability and commitment to quality and continuous improvement are required.
  • Ability to work independently, manage multiple priorities, and deliver high-quality results is required.
  • 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 business outcomes is required.

Responsibilities

  • Collaborate with semiconductor manufacturing engineering teams to analyze inline, parametric, and probe data, identify top yield detractors, and drive continuous improvement.
  • Extract, cleanse, and analyze datasets from SQL databases, sensor networks, and fabrication tool logs to support semiconductor manufacturing operations.
  • Apply data science techniques, statistical modeling, and machine learning to solve yield issues and support defect reduction strategies.
  • Assist process and integration engineers in running and analyzing Design of Experiments to enhance process capabilities and margins.
  • Develop automated reports and dashboards using visualization tools such as Dash, Plotly, or Angular to communicate technical concepts and project outcomes to engineering 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.

Desired Qualifications

  • Prior experience or an internship in the semiconductor industry, electronics manufacturing, or related fields.
  • Basic understanding of semiconductor fabrication processes, equipment, and device physics, such as basic CMOS knowledge.
  • Familiarity with advanced analytics or computer-based analysis for manufacturing and yield applications.
  • Knowledge of DRAM or NAND memory architecture.

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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