Semiconductor Data Scientist: Yield & Analytics

Micron Memory Malaysia Sdn Bhd; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Micron Singapore is seeking a Data Scientist to collaborate with manufacturing engineering teams on yield optimization and data-driven decision making. You will extract, cleanse, and analyze data from SQL databases, sensor networks, and tool logs to support operations and defect reduction efforts.

The role emphasizes applying statistical modeling and machine learning, plus building automated dashboards with Dash, Plotly, and Angular to clearly communicate insights to engineering stakeholders.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, AI, or related Engineering field.
• Hands-on experience in data science, analytics, or scripting applications.
• Familiarity with semiconductor manufacturing principles and collaboration with equipment/engineering teams.

Responsibilities

• Yield & Process Optimization: analyze inline/param/probe data to identify top yield detractors and drive continuous improvement.
• Data Pipeline & Automation: extract, cleanse, and analyze datasets from SQL databases, sensor networks, and fabrication tool logs to support semiconductor manufacturing operations.
• Advanced Analytics & Modeling: apply data science techniques, statistical modeling, and machine learning to solve yield issues and support defect reduction strategies.
• Experimentation Support: assist DOE experiments to enhance process capabilities and margins.
• Visualization & Communication: develop automated reports and dashboards using Dash, Plotly, and Angular to communicate results to engineering stakeholders.

Skills

Python programming

SQL

Data science

Statistical analysis

Education

Bachelor's degree in Computer Science, Data Science, Statistics, AI, or related Engineering field

Tools

Dash

Plotly

Angular

Job description

Micron Singapore is seeking a Data Scientist to collaborate with manufacturing engineering teams on yield optimization and data-driven decision making. You will extract, cleanse, and analyze data from SQL databases, sensor networks, and tool logs to support operations and defect reduction efforts.

The role emphasizes applying statistical modeling and machine learning, plus building automated dashboards with Dash, Plotly, and Angular to clearly communicate insights to engineering stakeholders.