Metrology Data Scientist

SirenOpt is hiring a Metrology Data Scientist to build and deploy machine learning models that translate sensor signals into predictions about material properties. The role includes validating models with customer samples and datasets, delivering proof-of-concept analyses, and collaborating with engineering teams to move models into production.

Responsibilities:

• Build, calibrate, and validate predictive models that map sensor signal features to material properties
• Design and evaluate new model architectures and featurization strategies suited to small-data, high-dimensional scientific datasets
• Apply methods including regression, dimensionality reduction, probabilistic modeling, anomaly detection, and physics-informed ML
• Develop testing and validation frameworks for model performance, including uncertainty quantification and out-of-distribution detection
• Characterize model robustness across sample types, process conditions, and instrument configurations
• Prepare models and documentation for handoff to the software engineering team for production deployment
• Analyze datasets from customer proof of concepts
• Compile technical reports and supporting materials to deliver to customers
• Translate findings and stakeholder feedback into model improvement roadmaps