Data Scientist
Core
Analyze semiconductor manufacturing data to identify yield detractors, optimize processes, and reduce defects using data science and machine learning.
Role type
Data Scientist (Semiconductor Manufacturing)
Builds
Yield optimization strategies, automated data pipelines, and defect reduction models for semiconductor fabrication.
Domain
Semiconductor manufacturing / Yield management
Deliverable
production ML models | dashboards & analysis
Required skills
Python, SQL, Statistical Analysis (SPC, DOE, FDC/EDA), Data Visualization (Dash, Plotly, Angular), Data Extraction & Cleansing
Preferred skills
Semiconductor fabrication knowledge, Memory architecture (DRAM/NAND), Advanced analytics for manufacturing
Technologies
Python, SQL, Dash, Plotly, Angular
Responsibilities
Analyze inline/param/probe data to identify yield detractors; Extract and cleanse datasets from SQL databases and sensor networks; Apply statistical modeling and ML to solve yield issues; Assist engineers in running Design of Experiments (DOE); Develop automated reports and dashboards for engineering stakeholders.
Seniority
Junior to Mid-level, hands-on IC