XTEL iste’mol uchun qadoqlangan mahsulotlar (FMCG/CPG) kompaniyalari uchun sun’iy intellektga ustuvor ahamiyat beradigan daromadlarni boshqarish yechimlariga yo‘naltirilgan global SaaS korporativ dasturiy ta’minot kompaniyasidir. Uning bulutga asoslangan platformasi sun’iy intellekt yordamida ma’lumotlarni boshqarish, savdo aksiyalarini boshqarish, ilg‘or tahlil, assortimentni rejalashtirish va chakana savdo operatsiyalarini birlashtiradi. Platforma 400 dan ortiq brendga murakkab tijoriy operatsiyalarni hamda yiliga 100 milliard yevrodan ortiq savdo xarajatlarini boshqarishda yordam beradi. 2015-yilda tashkil etilgan va Bain Capital tomonidan qo‘llab-quvvatlanadigan XTEL avtomatlashtirish, mahsulot innovatsiyasi va xalqaro o‘sishga e’tibor qaratgan holda, Microsoft va Copilot bilan hamkorlikni ham o‘z ichiga oluvchi korporativ miqyosdagi yechimlarni ishlab chiqadi.
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.
Tavsif
- 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
Talablar
- 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
Imtiyozlar
- 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