Data Scientist
Core
Build and deploy machine learning models that turn complex, high-dimensional sensor signals into actionable predictions about material properties for manufacturing intelligence.
Role type
Applied ML data scientist (signal modeling & metrology)
Builds
Predictive models mapping sensor signal features to material properties
Domain
Manufacturing intelligence / Materials science / Physics-informed ML
Deliverable
production ML models
Required skills
Python, predictive modeling (supervised/self-supervised), multivariate/high-dimensional data analysis, feature engineering, statistical modeling (uncertainty quantification, regularization), model validation frameworks
Preferred skills
Time-series/sensor data analysis, manufacturing/materials science domain knowledge, customer-facing applications engineering, production software deployment, data pipeline development (PostgreSQL)
Technologies
Python, PostgreSQL
Responsibilities
Build, calibrate, and validate predictive models; Design and evaluate new model architectures for small-data, high-dimensional datasets; Develop testing and validation frameworks including uncertainty quantification; Analyze datasets from customer proof of concepts; Translate findings into model improvement roadmaps
Seniority
Mid-level, hands-on IC
