Senior Data Scientist

Job Title

Senior Data Scientist

Role Summary

Work within semiconductor manufacturing teams to apply data science, statistical modeling, and automation to improve yield and process performance at Fab 10A, Singapore. The role partners with process, integration, and equipment engineers to analyze fabrication data, run experiments, and deliver actionable insights.

This position focuses on building data pipelines, applying advanced analytics and machine learning to manufacturing data, and delivering dashboards and reports that drive defect reduction and yield improvement.

Experience Level

Senior — minimum 3 years of hands-on experience in semiconductor manufacturing data science, analytics, or scripting applications.

Responsibilities

Primary responsibilities include data analysis, modeling, automation, and communicating results to engineering stakeholders.

• Yield & Process Optimization: Analyze inline, param, and probe data to identify top yield detractors and drive continuous improvement with engineering teams.
• Data Pipeline & Automation: Extract, cleanse, and automate processing of datasets from SQL, sensor networks, and fabrication tool logs to support operations.
• Advanced Analytics & Modeling: Apply statistical modeling and machine learning to diagnose yield issues and support defect-reduction strategies.
• Experimentation Support: Assist engineers with Design of Experiments (DOE) planning and analysis to improve process capability and margins.
• Visualization & Communication: Develop automated reports and dashboards (e.g., Dash, Plotly, Angular) to present technical findings and project outcomes to stakeholders.

Requirements

Concise list of required and preferred technical skills, experience, and soft skills.

• Must-have: Minimum 3 years of hands-on experience in semiconductor manufacturing data science, analytics, or scripting applications.
• Must-have: Strong Python programming skills and working experience with SQL for data extraction and manipulation.
• Must-have: Familiarity with statistical tools and methodologies such as SPC, DOE, or FDC/EDA and data-driven problem solving.
• Must-have: At least 2 years’ experience applying data visualization tools (e.g., Dash, Plotly, Angular) to present complex engineering data.
• Willingness to learn semiconductor manufacturing principles and collaborate closely with equipment and integration engineers to resolve production issues.
• Nice-to-have: Prior internship or experience in the semiconductor industry or electronics manufacturing; basic understanding of fabrication processes, equipment, and device physics (e.g., CMOS); familiarity with memory architecture (DRAM/NAND).
• Soft skills: Effective communicator and collaborator; analytical and pragmatic problem-solving mindset; ability to work independently and manage multiple priorities.

Education Requirements

Bachelor's degree in Computer Science, Data Science, Statistics, AI, or a related Engineering field (required as stated). No explicit mention of accepted equivalent-experience alternatives was provided in the posting.

About the Company

Company: Micron Technology

Headquarters: Boise, Idaho, USA

Micron Technology is a global leader in memory and storage solutions, dedicated to transforming how the world uses information. The company offers a diverse portfolio of high-performance DRAM, NAND, and NOR memory products under the Micron and Crucial brands. With a commitment to customer focus and technological innovation, Micron drives advancements in artificial intelligence, 5G, and other data-centric applications, empowering users to learn, communicate, and progress.