Data Scientist
Core
Build and continuously improve machine-learning driven predictive models to anticipate vacuum asset failures for semiconductor manufacturing customers.
Role type
Senior IC machine-learning engineer (predictive maintenance)
Builds
ML-based tooling and production-grade pipelines for predictive models
Domain
Semiconductor manufacturing / Industrial equipment maintenance
Deliverable
production ML models
Required skills
Python, R, MATLAB, Scala, statistical methods, predictive modeling, version control (Git/SVN), cloud computing, containerization, automated deployment
Preferred skills
Domain expertise in vacuum systems, additional European or Asian languages
Technologies
Python, R, MATLAB, Scala, Git, SVN, cloud platforms, containers
Responsibilities
Build ML-based tooling from large datasets, design and iterate model training processes, partner with Data Engineers and DevOps, communicate insights to stakeholders, participate in design sessions and code reviews, stay current with state-of-the-art methods
Seniority
Senior, hands-on IC