Data Scientist
Il y a 7 mois
ArcelorMittal is the world's leading steel and mining company, with a presence in 60 countries and primary steelmaking facilities in 17 countries. In 2020, ArcelorMittal had revenues of $53.3 billion and crude steel production of 71.5 million metric tons, while iron ore production reached 58.0 million metric tons. Our goal is to help build a better world with smarter steels. 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.
**Introduction**
**What does the job entail?**
ArcelorMittal FE Supply Chain steers, follows and delivers 20Mton of steel to customers spread throughout the world each year.
The person will be responsible for holding business interactions and identifying opportunities within the business of ArcelorMittal to leverage statistical modeling, data analysis and machine learning for diverse supply chain problems. In addition to this, as a team lead, the person will design roadmaps for end-to-end solutions and projects.
**Responsibilities**:
- Lead a variety of projects ranging from advanced data analysis for a one-off problem
- Analysis of all the related data is essential for optimising and automating these processes.
- Integrate data analysis leading to industrialised models
- Monitor and optimize machine learning and AI integrated into real systems.
- Develop projects on optimised forecasting of delivery times, stock reduction, optimisation of shipments,.... Keep up to date with emerging trends and technologies in data
**What would we need?**
**Education**:Master’s degree in data science or a related technical field.
**Desirable knowledge**:
- Experience with Data Management, Governance and Analysis (at least 5 years)
- Understanding of machine learning concepts and techniques
- Experience with infrastructure-as-code technologies such as Terraform. Familiarity with monitoring and logging tools such as Datadog.
**Requirements**:
- Strong experience with Python (additional knowledge and programming skills in at least other programming languages are an asset)
- Experience in Azure ML and knowledge of Azure and its framework is a plus
- Strong experience with at least one of the visualization tools: Tableau, Power BI, SAC
- Strong leadership and good project management skills
- Strong analytical skills and business-oriented mindset
- Good knowledge and experience in CI/CD pipelines and automated deployments.
- Hands-on experience with database systems.
**Languages**:
- English: Level advanced
- Knowledge of French, Dutch or Spanish would be a plus
**Why joining us?**
- You are proactive, innovative, curious, and bold. You are willing to understand, challenge and support our business needs
- You want to evolve in a multicultural environment with more than 20 nationalities
- To work in a fast moving, learning and collaborative environment
- You are looking for opportunities to develop and grow with the possibility of pursuing a career in IT With a competitive salary package
Don’t hesitate to apply
- ArcelorMittal is proud to be an equal opportunity employer. We consider qualified applicants regardless their gender, age, racial or ethnic origin, religion or beliefs, sexual orientation/identity, or physical/mental disability._
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