ملخص الوظيفة
تعلن شركة Majid Al Futtaim عن وظيفة مدير علوم البيانات لدى MAF Lifestyle في دبي. يتولى شاغل الوظيفة قيادة التنبؤ بالطلب واستشعاره، وتطوير نماذج تقسيم العملاء، وتحديد تطبيقات الذكاء الاصطناعي المناسبة لأعمال التجزئة. وتشمل المهام بناء حلول تعلم آلي جاهزة للتشغيل باستخدام Azure وMicrosoft Fabric، مع متابعة الأداء وإعداد التقارير عبر Power BI. يشترط الحصول على بكالوريوس في أحد تخصصات العلوم أو التقنية أو الهندسة أو الرياضيات، وتُفضّل الخبرة في التجزئة أو الأزياء أو أسلوب الحياة؛ كما تُعد الدراسات العليا والخبرة في أسواق الخليج والشرق الأوسط ميزة إضافية.
نص الإعلان
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JOB TITLE
Data Science Manage | MAF LifeStyle | Lifestyle
ROLE SUMMARY
This role is the primary owner of demand forecasting, demand sensing, demand planning, and advanced customer segmentation capabilities – driving measurable commercial impact across a multi-brand, multi-market retail portfolio spanning UAE, KSA, Kuwait, Qatar, and Bahrain.The role partners closely with brand owners, buying and planning teams
ROLE PROFILE
- Own end‑to‑end demand forecasting across SKU, category, and brand levels (short, medium, long term), incorporating seasonality, promotions, sell‑through, and external market factors across GCC markets.
- Lead demand sensing initiatives using real‑time POS, digital, and macro signals to anticipate near‑term demand shifts and enable rapid commercial decisions.
- Partner with Buying & Planning teams to translate forecasts into OTB, replenishment, markdown optimisation, and NPI strategies, presented in clear commercial language.
- Design advanced customer segmentation models (RFM, CLV, behavioural and propensity models) to enable personalised marketing, CRM, and loyalty activation.
- Identify and prioritise high‑impact AI use cases across pricing, assortment, promotions, churn, store clustering, and next‑best‑action with quantified business value.
- Drive adoption of Computer Vision solutions including footfall analytics, shelf compliance, planogram adherence, visual search, and automated product tagging.
- Lead NLP and conversational AI initiatives such as chatbots, sentiment analysis, multilingual (Arabic/English) text analytics, and automated product content generation.
- Build and scale production‑grade ML solutions on Azure/Microsoft Fabric, including automated pipelines, monitoring, drift detection, and executive reporting via Power BI.
REQUIREMENTS
- Bachelor’s degree in STEM (Science, Technology, Engineering, Mathematics).
- Advanced degree in related topics is a strong plus.
- Background or previous experience in retail, fashion, or lifestyle industry is strongly preferred.
- Experience in GCC/MENA markets is an advantage.
- Strong customer segmentation & CLV modeling experience.