Senior Data Scientist, Defect Quality & Systems
Core
Transform terabytes of raw manufacturing data into visual narratives and dashboards to support factory leadership decisions on defect quality and systems.
Role type
Senior Data Scientist (Manufacturing Analytics)
Builds
High-impact dashboards, internal web-based tools, and robust analytical systems for real-time monitoring.
Domain
Semiconductor manufacturing / Defect Quality & Yield Analytics
Deliverable
dashboards & analysis
Required skills
SQL, Python (NumPy, SciPy, Pandas), Statistical Modeling, Semiconductor Yield Analytics, Tableau/Spotfire, Frontend (Vue/FastAPI)
Preferred skills
AI/ML Implementation (TensorFlow/PyTorch), UI/UX Design
Technologies
SQL, Python, NumPy, SciPy, Pandas, TensorFlow, PyTorch, Tableau, Spotfire, Vue, FastAPI
Responsibilities
Mine complex datasets to identify critical trends and anomalies; Design intuitive data products for technical and non-technical stakeholders; Optimize SQL queries and Python scripts for large data performance; Engineer robust systems by modeling business logic and upgrading codebases.
Seniority
Senior, technical lead & mentor