Metrology Data Scientist

The role

You will build and deploy machine learning models that turn complex sensor signals into predictions about material properties. You will work with customer samples and datasets to execute proof-of-concept studies and collaborate with engineering teams to move models into production.

What you will do

• Build, calibrate, and validate predictive models that map sensor signal features to material properties
• Design and evaluate new model architectures and featurization strategies
• Apply methods including regression, dimensionality reduction, probabilistic modeling, anomaly detection, and physics-informed ML
• Develop testing and validation frameworks for model performance
• Characterize model robustness across sample types, process conditions, and instrument configurations
• Prepare models and documentation for handoff to the software engineering team
• 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

Required qualifications

• B.S. in Data Science, Statistics, Applied Mathematics, or a related quantitative science field with 3-5 years of applied ML/data science experience; or M.S. with 1-3 years
• Hands-on experience building and validating predictive models (supervised and self-supervised) in Python
• Ability to analyze multivariate, high-dimensional datasets and perform feature engineering and selection
• Solid grasp of statistical modeling: uncertainty quantification, regularization, covariate analysis, and feature importance methods
• Strong communicator; comfortable presenting technical findings to both technical and non-technical audiences

Nice to have

• Ph.D. a plus, not required
• Experience working with time-series, spectroscopic, or other sensor-based signal data
• Prior work in manufacturing, materials science, energy storage, semiconductors, or another physical science domain
• Prior customer-facing or applications engineering experience in a technical product company
• Experience deploying models in production software environments
• Familiarity with data pipeline development (PostgreSQL or similar)
• Fluency in Mandarin Chinese, Japanese, German, Korean, or another key stakeholder language

Benefits

• Equity and Salary compensation depends on experience
• Health, Dental, Vision plans provided
• 401k matching provided
• 20 days of PTO per year
• approximately 15 paid US holidays per year

About the company

SirenOpt is building the manufacturing intelligence layer for advanced materials. They developed PlasmaSens, a manufacturing intelligence platform to help manufacturers visualize, understand, and control material behavior.