Data Scientist
Core
Develop abnormality detection systems and root cause analysis applications to optimize semiconductor manufacturing processes and reduce variability.
Role type
Senior IC data scientist (manufacturing analytics)
Builds
Scalable machine learning pipelines for industrial process monitoring and control
Domain
Semiconductor manufacturing / Industrial IoT
Deliverable
production ML models
Required skills
Statistics, PySpark, time-series anomaly detection, control theory applications, ML pipeline management, technical architecture design
Preferred skills
Semiconductor industry experience, Agile development framework experience
Technologies
PySpark
Responsibilities
Develop and optimize abnormality detection algorithms for time-series data; Model control theory applications to optimize process stability; Manage all stages of the ML development pipeline; Design and implement technical architecture for scalable ML execution; Develop and maintain internal applications for root cause analysis; Analyze large datasets to identify trends driving system improvements
Seniority
Senior, hands-on IC