The role focuses on analyzing inline and parametric data to identify yield detractors and drive continuous improvement in semiconductor manufacturing
Job Summary
The role focuses on analyzing inline and parametric data to identify yield detractors and drive continuous improvement in semiconductor manufacturing.
Candidates will apply advanced machine learning and statistical modeling techniques to solve complex yield issues and support defect reduction strategies.
The position requires developing automated dashboards using tools like Dash and Plotly to effectively communicate technical insights to engineering stakeholders.
Matching Summary
Match Score: 85
The role focuses on analyzing inline and parametric data to identify yield detractors and drive continuous improvement in semiconductor manufacturing.
Skills & Requirements
Must-have
Python programming skills
SQL data extraction experience
Statistical analysis methodologies
Data visualization tools Dash Plotly
8 years hands-on data science experience
Nice-to-have
Semiconductor industry background
CMOS process knowledge
Design of Experiments DOE expertise
DRAM NAND memory architecture understanding
Collaborative engineering communication
Key Requirements
Bachelor's degree in Computer Science or related field