DATA SCIENTIST

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Description

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 solve yield issues and support defect reduction strategies. Experimentation Support: Assist process and integration engineers in running and analyzing Design of Experiments (DOE) to enhance process capabilities and margins. , Dash, Plotly, Angular) to communicate technical concepts and project outcomes effectively to engineering stakeholders. Required Qualifications Bachelor's degree in Computer Science, Data Science, Statistics, AI, or a related Engineering field. 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 Programming & Data Engineering: Strong Python programming skills and working experience with SQL for data extraction and manipulation. Statistical Analysis: Famil

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