Context

contexte
Our client's teams are expanding with the creation of a new Data Scientist role within the R&D department.
Their R&D department develops proven and innovative solutions to support their many prestigious clients in their digital transformation.
You will be joining the development team to contribute to data-driven solutions and build models to help their customers facing their business challenges.
Job purpose & assignments
You report to the R&D manager and you carry out projects in coordination with different stakeholders in the company (Product Owner, R&D Project Manager, Product Manager, Customer Project Manager, Partner Client).
The "Algorithms" team grows. You will join the R&D team in this context and take part in the development of planning optimization algorithms (demande, supply, production, distribution).
Within an agile environment, you provide analysis, implementation, tests and internal documentation for the tasks that are entrusted to you.

Required profile

profil
You have a strong background in mathematics/ computer science at Master degree level and a successful experience in optimization or numerical computation.
Areas of expertise :
  • Concepts of Supply Chain (with proven business experience)
  • Machine learning techniques (theory and practice ideally with Python and Spark).

 

You make a difference from others candidats by your mindset and your knowledge of operational research concepts (in particular linear programming). Your skills and curiosity allow you to find innovative and effective solutions for solving complex problems related to the business constraints of their customers.
Please send your resume with the reference RD-DS to the following e-mail address: leonel.gomes.ext@eotim.com
    • Contact

        • Leonel GOMES


      Lieux de travail

      • Paris

      Salaire

      • /

      Type de contrat

      • CDI

      Déplacements

      • /

      Secteur d'activité

        • Consulting informatique


      Niveau d'étude

      • /

      Expérience

        • Souhaitée


      Publié le

      • 17 mai 2019

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