XTEL
XTEL
XTEL उपभोक्ता पैकेज्ड वस्तु (FMCG/CPG) व्यवसायों के लिए एआई-प्रथम राजस्व प्रबंधन पर केंद्रित एक वैश्विक SaaS एंटरप्राइज़ सॉफ़्टवेयर कंपनी है। इसका क्लाउड-नेटिव प्लेटफ़ॉर्म एआई-सक्षम डेटा प्रबंधन, ट्रेड प्रमोशन प्रबंधन, उन्नत विश्लेषण, वर्गीकरण योजना और रिटेल निष्पादन को एक साथ लाता है। इससे 400 से अधिक ब्रांड जटिल वाणिज्यिक संचालन और सालाना 100 अरब यूरो से अधिक के ट्रेड व्यय का प्रबंधन कर पाते हैं। 2015 में स्थापित और Bain Capital के समर्थन वाली XTEL स्वचालन, उत्पाद नवाचार और अंतरराष्ट्रीय विस्तार पर ज़ोर देते हुए एंटरप्राइज़ स्तर के समाधान विकसित करती है, जिसमें Microsoft और Copilot के साथ सहयोग भी शामिल है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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