About the role
SR DATA SCIENTIST role based on the published job description. Key responsibilities and requirements were extracted directly from the posting for quick review.
IDMOnsiteSmart MFG/AI
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.
- Visualization & Communication: Develop automated reports and dashboards using visualization tools (e.g., Dash, Plotly, Angular) to communicate technical concepts and project outcomes effectively to engineering stakeholders.
Requirements
- Bachelor's degree in Computer Science, Data Science, Statistics, AI, or a related Engineering field.
- Minimum 3 years of 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: Familiarity with statistical tools, methodologies (such as SPC, DOE, or FDC/EDA), and data-driven problem solving.
- Data Visualization: At least 2 year of working experience applying data visualization tools (e.g., Dash, Plotly, Angular) to present complex engineering data clearly.