Data Scientist Engineer

at  Arcelormittal

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.

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

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.