Data Scientist

Vor 3 Tagen


Lausanne, Schweiz Talan Group Vollzeit

Talan est un groupe international de conseil et d’expertises technologiques qui accélère la transformation de ses clients par les leviers de l'innovation, la technologie et la data. Depuis plus de 20 ans, Talan conseille et accompagne les entreprises et les institutions publiques dans la mise en œuvre de leurs projets de transformation et d'innovation en France et à l'international.

Présent sur cinq continents, dans 18 pays, le Groupe, certifié Great Place To Work, qui comptera plus de 7200 collaborateurs fin 2024, ambitionne de réaliser un chiffre d'affaires de 850 millions d'euros cette même année et de dépasser la barre du milliard d'euros à horizon 2025.

Doté d'un Centre de recherche et d'innovation, Talan met l'innovation au cœur de son développement et intervient dans les domaines des mutations technologiques telles que l'Intelligence Artificielle, la Data Intelligence, la Blockchain, pour servir la croissance des grands groupes et des ETI dans une démarche engagée et responsable. www.talan.com

En plaçant au cœur de sa stratégie « L’innovation Positive » le Groupe Talan est convaincu que c’est en étant au service de l’humain que la technologie démultiplie son potentiel pour la société.

Description du Poste :
Nous recherchons un(e) Data Scientist Senior spécialisé(e) dans les données géospatiales (GIS) pour rejoindre notre équipe. Votre rôle consistera à développer des solutions data-driven innovantes, en exploitant des données spatiales pour répondre à des problématiques complexes et optimiser les processus décisionnels.

Vos Responsabilités :

  • Collaborer avec des équipes pluridisciplinaires pour concevoir et mettre en œuvre des solutions intégrant des données GIS, optimisant les processus.
  • Concevoir et mener des expériences afin de valider l'efficacité de modèles et d'algorithmes exploitant des données géospatiales.
  • Analyser, manipuler et visualiser des données à l’aide d’outils tels que Python, SQL et QGIS, pour des analyses spatiales avancées.
  • Contribuer à l’amélioration continue des méthodologies en science des données, notamment dans le domaine des applications géospatiales.

Profil Recherché :

  • Expérience confirmée (8 ans ou plus) en science des données, avec une expertise reconnue dans l’analyse et la manipulation de données GIS.
  • Maîtrise des outils Python, SQL, et QGIS ; une connaissance de bibliothèques ou frameworks spécialisés comme GeoPandas ou PyQGIS est un plus.
  • Excellentes capacités analytiques, avec un fort esprit de synthèse et une aptitude à expliquer des concepts complexes de manière claire.
  • Autonomie, rigueur et sens de l’innovation dans l’approche des problématiques data-driven.
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