il y a 5j
source : Wizbii


du01 janvier 2020au01 janvier 2021(pour12mois)


REMUNERATION MENSUELLE : 2046€ (indemnité non contractuelle fixée par décret et arrêté, dont le montant peut varier notamment en

fonction de l’évolution du barème de référence, de la localisation de la mission et des cas d’abattements prévus par les textes)

ArcelorMittal is the world's leading steel and mining company, with a presence in more than 60 countries and an industrial footprint in 19 countries.

Guided by a philosophy to produce safe, sustainable steel, we are the leading supplier of quality steel in the major global steel markets including automotive, construction, household appliances and packaging, with world-

class research and development and outstanding distribution networks.

Job description :

ArcelorMittal seeks a Data Analyst profile to reinforce its Data Science team, in charge of pricing models. The candidate will actively contribute to meaningful projects and work closely with a mentor and with senior profiles of the Data Science team.

The main objective of the profile will be to assist the data scientists and other team members in their daily work with sound statistics.

He / She will mostly do analysis related to the pricing models, help on their maintenance, and implement / study new algorithms to improve them.

Objectives :

  • Data cleaning and harmonization from various data sources
  • Data visualization and detailed analysis at different stages of modeling
  • Support for presentations and exposure of results to Business
  • Involvement in Modeling related topics, depending on the interest
  • ArcelorMittal’s added value :

  • Team with varied profiles (data scientists, analysts, software developers and data engineers).
  • Team working with latest tools and technologies.
  • The candidate will have the choice to get involved in modeling related topics.
  • A good balance of autonomous and team work.
  • Dynamic team with lot of interactions within the team and with business.
  • Profile : Mandatory :

    Mandatory :
  • English
  • English
  • Strong statistical background
  • Strong reasoning and analytical skills
  • Good to have :

  • Experience with Python, R or Java
  • Data visualization with any tool of choice
  • Understanding of basic concepts of Machine Learning
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