Junior Data Scientist
ArcelorMittal France
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Job Details & Key Attributes

Within the sales & marketing organization of ArcelorMittal Europe Long Products, take a key role in the pricing team and the digitalization transformation.

Pricing is at the heart of the value creation and it requires data based sound and actionable analytics. It is also about change management of the organization towards big data technologies.

Long products Europe has initiated a strategic project to transform the pricing process from the price guidelines to offers to order entry.

In this project, data mining, modelling and analysis are important attributes make the project a success. Long products will be supported by an external partner who will provide the initial resources, models and analysis.

You will play a key role in this strategic and innovative pricing project. You will

  • support data engineering
  • maintain pricing models
  • constantly improve model accuracy and measure performance
  • develop the next iterations of the pricing models with the sales and marketing teams
  • improve the tools for optimal operations
  • guarantee robustness of the solution and iterations with sound testing process
  • support the business areas and create dashboards and visualizations of processed data to help identify opportunities to create value
  • guide team members on projects and support them to learn new technologies
  • network with the ArcelorMittal data science community
  • You will also contribute to

  • expand the solution to new areas of the business both in terms of markets and products
  • adapt the solution by integrating new factors, new sets of data or new business context
  • In your role, you will support the performance of the business divisions.

    You will also interact with IT, R&D and mills.

    Minimum Applicant Attribute

    Education / Qualification : Master

    Subject : Mathematics, Economics, Computer Science, Data Engineering Language and Proficiency Level : English Advanced

    Other Minimum Requirements :

    Master (Mathematics, Economics, Computer Science, Data Engineering )

    Advanced English

    Enthusiastic and excellent team player with good communication skills

    Business oriented and keen in discovering the business

    Technical expertise regarding data models, data mining

    Good programming skills, ideally in Python, R, Java

    Proficient with distributed processing technologies (Spark / Hadoop ecosystem), Big Data querying tools, such as Hive, Impala, Spark-SQL

    Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

    Adept at queries, report writing and presenting findings.

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