R&D Process Research (Digital Development Engineer)

About 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.  

Why you should join our Team

At ArcelorMittal North America we have created something special. A better place to work and an ability to make a real difference to the world. 

We provide exceptional training and career paths. Our goal is to have our leaders be home grown and to provide all employees opportunities for growth, development, and movement within our organization.  We only accept A players as part of our team. 

Join our family, be a part of a great story and help us continue to grow and be successful.

The role: 

We are seeking a highly skilled and motivated engineer with a  strong background in Data Science, Machine and Deep Learning. This professional will be involved in applying these techniques to a variety of R&D projects focused on Process Improvement and will use advanced data analysis tools effectively for executing projects and share this knowledge with others. Specifically, the candidate should be proficient in Oracle, SQL and Microsoft Azure Database Administration, AI and ML Tools Development and Solutions Architecture Development. Additional skillsets should include the ability to do web development using Python, HTML, CSS, JavaScript, PHP and Ionic HTML5 mobile app development framework. Daily tasks will include the development and maintenance of both advanced commercial and proprietary databases, machine learning models, business intelligence dashboards, web applications, hybrid mobile apps, control systems and other digital technology solutions that are aligned with ArcelorMittal’s digital transformation initiatives.

Location: East Chicago

Job Duties:

• Manage R&D projects, developing or assisting in the development of advanced predictive models for process and product solutions through advanced data analysis or machine learning.
• Develop, test, and deploy state-of-the-art machine learning models, business intelligence dashboards, web applications and other digital technology solutions
• Work closely with cross-functional teams to support R&D Global Digitization activities
• Install, configure, automate, and monitor various HPC cloud services and technical solutions on Azure and other technology platforms;
• Develop Oracle and SQL databases and expand existing databases
• Support overall laboratory automation and knowledgebase systems
• Assist in the acquisition, compilation, validation and analysis of trial data (sometimes complex) from multiple sources
• Keep abreast of up-to-date knowledge on the tools and methods for data analysis, machine learning and digitalization and educate other Researchers in the available tools.
• Communicate project results in reports, presentations, and publications.
• Other duties as needed

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Minimum Requirements:

• Bachelor’s Degree in Computer Engineering, Computer Science, Information Technology, Electrical Engineering, Mechanical Engineering or related field
• Data mining experience or understanding of Machine Learning and Deep Learning concepts.
• Good knowledge of virtualization, cloud computing and data analytics.
• Strong team player, with well-developed communication skills in English (verbal and written).
• Solid knowledge in Machine and Deep Learning.
• Experience developing and implementing AI algorithms
• Advanced skills in data analysis, Statistics (design of experiments, data analysis and model formulation),
• Strong Computer Programming (C++, Java, etc.) experience
• Proficient in planning and managing projects
• Ability to work efficiently and productively with minimal supervision.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Understanding of both traditional data warehousing solutions as well as modern big data architectures, tools and techniques

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Preferred Requirements:

• Master’s Degree in Computer Engineering, Computer Science, Information Technology or related field;
• At least 4 years of experience in a data engineering.  
• Strong Teamwork and a hands-on working approach
• Proven ability to collaborate with IT and project teams working at remote ArcelorMittal locations.
• Ability to travel as needed for projects.

ArcelorMittal North America is an equal opportunity employer. We evaluate qualified applicants without regard to race, age, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.