MetOx International is looking to strengthen the world's energy systems by making them more resilient, efficient, and reliable through breakthrough superconducting technology. The Senior Data Scientist will address complex process challenges in advanced materials manufacturing to improve yield, quality, and scalability.
Requirements
- Demonstrated experience in statistical process control, design of experiments, and process optimization.
- Expert knowledge of multivariate statistics, time-series analysis, hypothesis testing, and Bayesian inference.
- Strong foundation in linear algebra, calculus, differential equations, and optimization theory.
- Advanced proficiency in machine learning techniques including regression, classification, ensemble methods, and neural networks.
- Experience with computer vision and deep learning frameworks (TensorFlow, PyTorch, YOLO, etc.).
- Expert-level programming in Python (NumPy, SciPy, Pandas, Scikit-learn, Matplotlib, Plotly).
- Proficiency with statistical analysis software (Minitab, JMP, or equivalent).
Responsibilities
- Develops and deploys statistical models for process characterization, optimization, and quality control in superconductor manufacturing.
- Designs and executes design of experiments (DOE) to identify critical process parameters and optimize production outcomes.
- Implements statistical process control (SPC) methodologies including multivariate control charts and process capability analysis.
- Builds physics-informed models that combine first-principles engineering with machine learning approaches.
- Develops predictive models for yield optimization, defect detection, and predictive maintenance.
- Applies advanced mathematical techniques including optimization theory, differential equations, and numerical methods to solve complex manufacturing challenges.
- Designs and implements scalable data pipelines for real-time process monitoring across manufacturing operations.
Other
- 4 years of professional experience in data science or analytics within manufacturing, process engineering, or industrial R&D environments.
- Exceptional analytical and problem-solving abilities with attention to detail.
- Strong communication skills with ability to explain complex mathematical and statistical concepts to diverse audiences.
- Proven ability to lead projects and mentor team members.
- Self-motivated with ability to work independently and manage multiple priorities.
