Data Scientist

About This Role

This Data Scientist role involves collaborating with semiconductor manufacturing engineering teams to optimize yield and processes. The position focuses on analyzing various data sources, applying advanced analytics, and supporting experimentation to enhance process capabilities and reduce defects.

Responsibilities

• Collaborate with semiconductor manufacturing engineering teams to analyze inline/param/probe data to 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 (DOE) to enhance process capabilities and margins
• Develop automated reports and dashboards using visualization tools (e.g., Dash, Plotly, Angular) to communicate technical concepts and project outcomes effectively to engineering stakeholders
• Integrate AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements
• Contribute to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work
• 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

Requirements

• Bachelor's degree in Computer Science, Data Science, Statistics, AI, or a related Engineering field
• At least half a year of working-level hands-on experience in data science, analytics, or scripting applications
• Willingness to learn semiconductor manufacturing principles and collaborate closely with equipment and integration engineers to resolve production issues

Required Technical Experience:

• Strong Python programming skills and at least half a year of working experience with SQL for data extraction and manipulation
• Familiarity with statistical tools, methodologies (such as SPC, DOE, or FDC/EDA), and data-driven problem solving
• At least half a year of experience applying data visualization tools (e.g., Dash, Plotly, Angular) to present complex engineering data clearly

Nice to have:

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

Required Soft Skills:

• Effective communicator and collaborator, capable of bridging the gap between data science and traditional semiconductor engineering teams
• Analytical and problem-solving mentality with a demonstrated commitment to quality and continuous improvement in a fast-paced environment
• Proven ability to work independently, manage multiple priorities, and deliver high-quality results

About the Company

Micron Technology, Inc. is an industry leader in innovative memory and storage solutions, transforming how the world uses information to enrich life for all. With a focus on customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through its Micron® and Crucial® brands. The company's innovations fuel the data economy, enabling advances in artificial intelligence and 5G applications.