Data Scientist

Role Overview

As a Data Scientist, you will play a key role in transforming business opportunities into data-driven solutions that optimize pricing decisions, accelerate commercial excellence, and create measurable business value.

What You Will Do

You will be responsible for the full lifecycle of data science initiatives, from business understanding and solution design to implementation, monitoring, and continuous improvement.

Why It Might Be a Fit

You will actively contribute to the adoption of data-driven ways of working by supporting stakeholder engagement, training, and change management activities to ensure successful implementation and sustainable business impact.

Requirements

• Master’s degree in Computer Science, Artificial Intelligence, Mathematics, Engineering, Economics, or a related field.
• 3+ years of experience in Data Science, Machine Learning Engineering, AI Engineering, or MLOps.
• Strong technical skills in Python, SQL, API development (FastAPI preferred).
• Hands-on experience developing and deploying machine learning models in production environments.
• Strong knowledge of MLOps, CI/CD, Git, Docker, Kubernetes, Linux, Airflow, MLflow, and cloud platforms, preferably Microsoft Azure (Azure ML, AKS, ACR, App Services).
• Strong problem-solving and analytical skills, with the ability to collect, analyze, and interpret complex data sets
• Excellent communication and interpersonal skills to build relationships with internal and external stakeholders
• Fluency in English is required, knowledge of additional European languages is a plus

Benefits

• Competitive base salary
• Several benefits
• Annual incentive program to reward performance
• Technical & leadership trainings suggested by ArcelorMittal University
• Support a safety-focused and inclusive work environment