Data Scientist - Onsite - Junior Level
Core
Junior Data Scientist applying machine learning and physics-informed modeling to optimize industrial manufacturing processes, specifically steel production.
Role type
Junior IC data scientist (industrial/process optimization)
Builds
Hybrid models combining first-principles physics with data-driven methods, virtual/soft sensors, and digital twins for industrial processes
Domain
Manufacturing (steel, metals, chemicals, energy)
Deliverable
production ML models
Required skills
Python, SQL, Git, container technologies, deep learning frameworks, model deployment, feature engineering, model validation, drift monitoring
Preferred skills
hybrid/gray-box modeling, physics-informed modeling, virtual sensor development, deep learning, industrial domain knowledge
Technologies
Python, SQL, Git, Keras, TensorFlow, AI
Responsibilities
Collaborate with process engineers and metallurgists to understand production processes; Translate process knowledge into model structures with constraints and relationships; Develop hybrid models combining first-principles with machine learning; Build engineering prototypes and convert experiments into production solutions; Monitor live model performance and retrain models as conditions change; Coordinate with product and engineering teams to align data science work with roadmaps