Data Scientist Engineer

ArcelorMittal is the world’s largest steel producer. We use the most innovative technology to create the steels tomorrow’s world will be made of. Every day over 190,000 of our talented people, located in over 60 countries, push the boundaries of digitalization and use advanced technology to create a world that is stronger, faster and smarter. To help make this possible, they know they can depend on the support and training that a company of our scope and scale can provide. 

Within this context, you will be working for the laboratory Long Product Research Centre located in Esch-sur-Alzette (Luxembourg) which main research areas are : help plants to improve their key technical parameters and to meet customer requirements at the lowest possible cost, support industrialisation of new products (process) ; create competitive differentiation through enhanced or unique functionality, superior quality of our products, while ensuring their manufacturability and delivery to our customers at the lowest possible cost (products), help our customers to make the best possible use of our advanced product range, showcase practical examples of the most advanced products and present a complete solution to the market with higher added value (applications and steel solutions). 

The main missions of the laboratory are : contribute to a low cost and sustainable production of structural long products, help to develop the steel market in construction (fire engineering, earthquake resistance, corrosion protection…), implement the developments with the internal clients in the plants or markets, internal and external benchmarking is an important related mission.

Your role 

We are looking for an experienced Data Scientist Engineer with following missions :

• Lead ambitious projects and translate part of the considerable amount of data in Structural Long Product production and Process, as well as clients requirements, into meaningful and valuable information to optimize product quality and cost by developing data science solutions for various stakeholders.
• Support ongoing R&D projects in digital twin technology, defectology data analysis, and applied machine learning for process and applications, including sheet piling structural design. 
• Collect and organize diverse data types, ensure data quality for AI pre-training, and maintain communication with providers to deploy developed solutions.
• Contribute to decarbonization targets and sustainability by developing new technologies and integrating AI models into expert systems for process control. 

There will also be occasional travels to production facilities and technical coordinations with other ArcelorMittal global R&D centers.

Your profile 

• You hold a Master's degree or PhD degree in Data Science, Engineering or Equivalent technical field. 
• Some experience working with industrial or manufacturing data would be an asset. 
• Experience in Metallurgy or Steel Manufacturing would be extremely beneficial.
• You have advanced levels of English and French. 

Minimum Requirements

• Strong skills in Statistics and Machine Learning
• Sufficient programming proficiency, including mastery of programming languages such as Python, and familiarity with major AI frameworks like TensorFlow, PyTorch, and Keras
• Skills in dashboarding, visualization and technical reporting
• Knowledge of different Database technologies (SQL, Oracle, MongoBD, ...)
• Data management knowledge, including data manipulation, data pre-processing, and augmentation. This involves working with internal or external collaborators for cleaning, labeling, and augmenting data to train and improve AI models
• Intuition and the ability to identify relevant data for different use cases
• Collaboration and communication for articulating technical details and project needs to technical and non-technical team members
• Strong interpersonal skills along with excellent oral, written, and presentation abilities
• Ready to accept responsibility and willing to excel in your work
• Ability to lead and manage several projects independently and deliver high quality results on deadlines
• Teamwork and customer minded approach is important

Desired Requirements

• Hands-on experience with building data science and ML solutions using open-source models
• Understanding of industrial systems and complex processes
• Knowledge in Signal and Image processing
• Knowledge of Microsoft technologies and Azure Cloud tools (DataBricks, Azure ML, Azure DevOps)
   

According to ArcelorMittal Global R&D values:
- You agree to comply with health and safety rules
- You are respectful, transparent, honest and empathetic in your relationships. You honor your word and your commitments to others
- You agree to behave consistently with the highest level of integrity
- You strive to question your practices. with high expectations of yourself and others, You strive for a high level of quality and reliability in everything You do.
- You recognize that diversity, varied skills and fresh ideas make a group exponentially better in the pursuit of a common goal
- You know that learning changes minds and lives, so You are committed to learning throughout your professional career and continually achieving the skills required and essential to your success
- You are open to ideas that challenge conventions and stimulate innovation

Join us and you will see that your work will help create renewable energy, impact major industries and boost economies. At ArcelorMittal, we'll help you create your world.

Attractive remuneration with stimulating career prospects in which eminent scientists and engineers evolve in a multicultural environment

ArcelorMittal is the world's leading steel and mining company, with a presence in 60 countries and primary steelmaking facilities in 16 countries. In 2022, ArcelorMittal had revenues of $79.8 billion and crude steel production of 59.0 million metric tonnes, while iron ore production reached 45.3 million metric tonnes. Our purpose is to produce ever smarter steels that have a positive benefit for people and planet. Steels made using innovative processes which use less energy, emit significantly less carbon and reduce costs. Steels that are cleaner, stronger and reusable. Steels for electric vehicles and renewable energy infrastructure that will support societies as they transform through this century. With steel at our core, our inventive people and an entrepreneurial culture at heart, we will support the world in making that change. This is what we believe it takes to be the steel company of the future. ArcelorMittal is listed on the stock exchanges of New York (MT), Amsterdam (MT), Paris (MT), Luxembourg (MT) and on the Spanish stock exchanges of Barcelona, Bilbao, Madrid and Valencia (MTS).  For more information about ArcelorMittal please visit: http://corporate.arcelormittal.com