Senior Data Scientist
Core
Build and deploy machine learning systems for anomaly detection, root cause analysis, and virtual metrology to improve semiconductor manufacturing processes.
Role type
Senior IC data scientist (semiconductor manufacturing)
Builds
Production ML models for process optimization and quality control
Domain
Semiconductor manufacturing / Industrial IoT
Deliverable
production ML models
Required skills
Python, SQL, regression, classification, ensemble methods, feature engineering, model evaluation metrics, ML pipeline management, cross-validation, hyperparameter tuning, experiment tracking, model versioning, automated retraining, statistical benchmarking, time-series analysis, tabular data processing
Preferred skills
PySpark, SHAP, model interpretability, Agile prototyping, missing value imputation, categorical encoding
Technologies
Python, SQL, PySpark
Responsibilities
Build supervised ML models for anomaly detection using high-frequency tabular and time-series data; Enhance data collection and processing workflows to create robust test datasets; Design, train, and iterate on predictive models integrating process and quality data sources; Engineer features from continuous time-series streams and handle missing/sparse data; Manage the full modeling workflow including cross-validation, hyperparameter tuning, experiment tracking, model versioning, and automated retraining; Set statistical benchmarks for model performance and monitor deployed models in production; Communicate complex technical findings to data scientists and process engineers
Seniority
Senior, hands-on IC