One Thing
Semiconductor Manufacturing
DATASCIENTIST
Neural analysis suggests this role is
optimal for Mid+ candidates.
“DATA SCIENTIST at One Thing. Skills: Data Science, Predictive Models, Yield Optimization, Machine Learning. Analyze inline/param/probe data. Identify top yield detractors”
What You'll Achieve.
Maximize product yield; Improve process variation; Improve process capability; Improve device yield
Industry & Context.
Root cause analysis; Data-driven problem solving
What They're Looking For.
Must Have
2 years of hands-on experience, Python programming skills, working experience with SQL, Familiarity with statistical tools, 2 year of working experience utilizing data visualization tools
Nice to Have
Prior experience in semiconductor industry, Basic understanding of semiconductor fabrication processes, Familiarity with advanced analytics or AI-driven analysis, Knowledge of memory architecture
What You'll Do.
Analyze inline/param/probe data
Identify top yield detractors
Drive continuous improvement
Apply data science techniques
Apply statistical modeling
Apply machine learning
Troubleshoot yield issues
Support defect reduction strategies
Assist in running experiments
Analyze Design of Experiments
Develop automated reports
How You'll Work.
Team & Collaboration
Cross-functional process areas; Semiconductor manufacturing engineering teams; Process and integration engineers
Communication Scope
Communicate technical concepts; Communicate project outcomes
Full Job Description
**Our vision is to transform how the world uses information to enrich life for all.** Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. **_Job Summary_** As a Data Scientist at Micron, you will employ techniques drawn from mathematics, statistics, and information technology to uncover patterns in data, drive predictive models, and develop actionable solutions for advanced semiconductor manufacturing. Your primary focus will be to support Process Integration and Process Engineering teams to maximize product yield and improve process variation. You will interact closely with cross-functional process areas to troubleshoot manufacturing line problems and conduct root cause analysis. In this position, you will help develop software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources—such as inline, param, and probe data—translating them into insights that directly improve process capability and device yield. **_Key Responsibilities_** * Yield & Process Optimization: Collaborate with semiconductor manufacturing engineering teams to 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 troubleshoot yield issues and support defect reduction strategies. * Experimentation Support: Assist process and int
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