Senior Engineer, Automation Development Engineering
Core
Developing predictive models and advanced statistical analyses for process yield and defect prediction within a precision manufacturing environment.
Role type
Senior IC data scientist (manufacturing analytics)
Builds
Scalable data pipelines and analytics platforms for engineering use
Domain
Precision manufacturing / Industrial data science
Deliverable
production ML models
Required skills
Python, R, SQL, machine learning, predictive modeling, advanced statistical analysis, time-series analysis, anomaly detection
Preferred skills
Big data platforms, cloud analytics (AWS, Azure, GCP), edge computing, manufacturing execution systems (MES), industrial IoT data, end-to-end ML pipelines
Technologies
Python, R, SQL, AWS, Azure, GCP
Responsibilities
Developing predictive models for process yield and defect prediction; Building scalable data pipelines and analytics platforms; Leading applied analytics projects; Partnering with manufacturing engineers to embed data-driven methodologies; Contributing to automation of data collection and anomaly detection; Preparing and presenting technical findings to engineering leadership
Seniority
Early Career (0–2 years post-graduate experience)
