Summary
Majid Al Futtaim is seeking a Data Science Manager for MAF Lifestyle in Dubai. The role leads demand forecasting and sensing, customer segmentation, and the development of AI use cases across a multi-brand retail portfolio. Responsibilities include building production-grade machine learning solutions on Azure and Microsoft Fabric, with monitoring and reporting through Power BI. A STEM bachelor’s degree is required; retail, fashion or lifestyle experience is strongly preferred, and advanced study and GCC/MENA experience are advantages.
The posting
As published on majidalfuttaim.com. Pulled from the employer's site and shown as they wrote it.
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.