Data Scientist
Core
Entry-level data scientist applying advanced analytics and AI to solve complex challenges in semiconductor product development, test optimization, quality assurance, and yield improvement.
Role type
Entry-level IC data scientist (semiconductor manufacturing)
Builds
Predictive models for yield and test coverage, dashboards for process monitoring, automated data pipelines
Domain
Semiconductor manufacturing and test engineering
Required skills
Statistics, machine learning, Python (pandas, NumPy, scikit-learn), SQL, data visualization
Preferred skills
Generative AI concepts, LLM integration, cloud platforms (AWS, Azure), big data frameworks
Technologies
Python, R, pandas, NumPy, scikit-learn, matplotlib, SQL, Tableau, Power BI, Plotly, AWS, Azure
Responsibilities
Analyse wafer sort, final test, and inline process data to identify trends and root causes; Build statistical and ML models to predict yield and detect outliers; Develop dashboards to monitor key metrics; Automate data pipelines and reporting tools; Support quality investigations through data mining; Innovate AI/ML solutions for non-standard problems; Utilize cloud compute resources for large-scale data processing
Seniority
Entry-level, recent graduate