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XTEL
XTEL
201 – 500 Angajați
Sponsor pentru viza de lucrător calificatAsistență medicalăConsultanțăLogistică
XTEL este o companie globală de software pentru întreprinderi, oferit ca serviciu (SaaS), axată pe gestionarea veniturilor bazată în primul rând pe inteligență artificială pentru companiile de bunuri de larg consum ambalate (FMCG/CPG). Platforma sa nativă în cloud reunește gestionarea datelor cu ajutorul inteligenței artificiale, gestionarea promoțiilor comerciale, analize avansate, planificarea sortimentului și execuția în retail, ajutând peste 400 de branduri să gestioneze operațiuni comerciale complexe și cheltuieli comerciale anuale de peste 100 de miliarde de euro. Fondată în 2015 și susținută de Bain Capital, XTEL dezvoltă soluții la nivel de întreprindere, cu accent pe automatizare, inovarea produselor și creștere internațională, inclusiv prin colaborarea cu Microsoft și Copilot.
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Data Scientist, AI Revenue Management – XTEL (Hybrid Belgium)

Develop machine-learning solutions for XTEL’s AI-powered revenue management platform. Build models and scalable data pipelines for global consumer-goods clients.

BEBelgiaHibridNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăSpecialist în știința datelor
CloudNumpyPandasPythonPyTorchScikit-LearnSQL

Descriere

  • Prepare complex, multi-source datasets for analytics applications
  • Create, deploy, and refine machine-learning models for project-specific use cases
  • Partner with colleagues to develop reliable, scalable data pipelines
  • Join client discussions to present technical findings and capture feedback
  • Collaborate with business specialists and the project manager on functional delivery
  • Offer technical guidance and mentoring to junior colleagues
  • Partner with the product team to embed analytics solutions into products
  • Record processes and help standardize analytics practices

Cerințe

  • Bachelor’s or Master’s degree in a STEM discipline, such as Mathematics, Statistics, Computer Science, Engineering, or a related field
  • Three to six years of professional experience in Data Science and Analytics
  • Knowledge of Data Science, including Machine Learning, Artificial Intelligence, and Operations Research
  • Advanced Python skills and experience with core machine-learning libraries including scikit-learn, PyTorch, pandas, and NumPy
  • Experience with object-oriented programming
  • Hands-on experience developing, validating, and tuning machine-learning models
  • Experience using cloud services for data storage, automated pipelines, and analytics or machine-learning workloads
  • Experience with Databricks
  • Familiarity with development environments such as VSCode or another IDE, plus Jupyter notebooks
  • Working knowledge of Git, including push, pull, fetch, and merge workflows
  • Ability to contribute effectively in multidisciplinary teams and explain complex findings clearly
  • Strong analytical ability and a critical-thinking mindset
  • Professional proficiency in English
  • Knowledge of the CPG or FMCG industry is advantageous
  • Experience using SQL for data manipulation and analysis

Beneficii

  • Hybrid work arrangement
  • Flexible working hours
  • Competitive salary package and bonus scheme
  • Challenging work in a fast-growing, AI-driven company
  • Diverse international team with a strong sense of ownership and a can-do mindset
  • Opportunities to make a meaningful contribution to organizational growth and development
  • Reasonable accommodation for employees with disabilities
  • Additional employment benefits and privileges

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