Data Scientist / Ingenieur / Naturwissenschaftler (w/m/d)
Core
Develop data-driven solutions for the steel industry by combining Data Science, Machine Learning, and AI with materials science expertise to optimize production processes and product quality.
Role type
Research Data Scientist (Materials Science & Industrial Analytics)
Builds
Machine learning models for material and process property prediction, simulation, and optimization for steel manufacturing.
Domain
Steel industry / Materials Science / Industrial Data Science
Deliverable
production ML models | research
Required skills
Data Science, Machine Learning, Statistics, Python, pandas, scikit-learn, PyTorch, TensorFlow, Materials Science, Metallurgy, Production Engineering
Preferred skills
Experience with large production datasets, presenting results to internal/external partners, supervising students and theses
Technologies
Python, pandas, scikit-learn, PyTorch, TensorFlow
Responsibilities
Analyze complex product, process, and quality data using Data Science methods; Develop, validate, and implement data-driven models for material and process optimization; Initiate and manage R&D projects; Present results to stakeholders; Supervise students and scientific theses
Seniority
Mid-Senior, hands-on IC with research responsibilities
