Sr. Data Scientist, SMAI
Tasks
- Analyze semiconductor manufacturing data to improve quality yield and cycle time
- Build and deploy data science pipelines from data acquisition to visualization
- Communicate model assumptions and results to non technical stakeholders
- Develop machine learning models for smart manufacturing
- Drive value from new sensor data and external data sources
- Extract and cleanse data using SQL and query languages
- Identify outliers and handle missing data
- Perform root cause analysis for manufacturing problems
- Prototype and deploy data science solutions to production
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Big Data | Cause analysis | Cloud platform | Data Cleansing | Data Engineering | Data Modeling | Data Visualization | Deep learning | Generative AI | Google Cloud | Google Cloud Platform | LLM | LLM tuning | Machine Learning | Missing data | Outlier Detection | Production Deployment | PyTorch | Python | RAG | Root Cause Analysis | Root cause | SQL | Scikit-learn
Education
Roles
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