Data Scientist HF - Alsace Bas-Rhin Strasbourg Strasbourg - 67000

Raison sociale: EOTIM
No SIREN: 441710282
Fonction: Informatique - Internet - Télécom
Type de contrat: CDI
Type d'emploi: Temps plein

EOTIM, cabinet de recrutement implanté en France et au Portugal, recherche pour l’un de ses clients, spécialiste de l'externalisation de la gestion de la relation client, plusieurs Conseillers/ Conseillères Clientèle à Lisbonne. Véritable leader dans ce domaine, notre client vous propose un challenge professionnel et un cadre de vie réputé à travers toute l’Europe.
Véritable opportunité professionnelle, vous travaillerez sur des projets et pour des marques leaders de la télécommunication, la logistique, le tourisme et voyages, la mode et la décoration, les cosmétiques, le luxe etc. Le tout dans une ambiance internationale, multiculturelle et conviviale.
Venez rejoindre un Pays élu « Great Place to Work » pour la deuxième année consécutive et profiter de la douceur de vivre et de la croissance économique de la tumultueuse Lisbonne. 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. 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.