XTEL
XTEL
XTEL ir globāls SaaS uzņēmējdarbības programmatūras uzņēmums, kas koncentrējas uz mākslīgajā intelektā balstītu ieņēmumu pārvaldību patēriņa iepakoto preču (FMCG/CPG) uzņēmumiem. Tā mākoņplatforma apvieno ar mākslīgo intelektu uzlabotu datu pārvaldību, tirdzniecības veicināšanas pārvaldību, progresīvu analītiku, sortimenta plānošanu un mazumtirdzniecības izpildi. Tas palīdz vairāk nekā 400 zīmoliem pārvaldīt sarežģītas komercdarbības operācijas un vairāk nekā 100 miljardu eiro lielus ikgadējos tirdzniecības veicināšanas izdevumus. Uzņēmums XTEL tika dibināts 2015. gadā, un to atbalsta Bain Capital. Tas izstrādā uzņēmumu mēroga risinājumus, īpašu uzmanību pievēršot automatizācijai, produktu inovācijām un starptautiskajai izaugsmei, tostarp sadarbībai ar Microsoft un Copilot.

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.

Apraksts

  • 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

Prasības

  • 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

Priekšrocības

  • 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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