Data Scientist

**About noon** We’re building an ecosystem of digital products and services that power everyday life across the Middle East\-fast, scalable, and deeply customer\-centric. Our mission is to deliver to every door every day. We want to redefine what technology can do in this region, and we’re looking for a Data Scientist who can help us move even faster. Noon’s fastest hyper\-local delivery platform, Noon Minutes, offers a localized assortment of FMCG \& grocery products with delivery within 15\-minutes. Currently live across the UAE and Saudi Arabia, offering thousands of products to customers in record time. noon’s mission: Every door, every day **What you'll do:** Team noon has some of the fastest, smartest, and hardest\-working people we've encountered. With a young, aggressive, and talented team, we're driving major missions forward. As a Growth Data Scientist at noon Minutes, you will build the models and systems that power smarter customer engagement, promotional efficiency, and business performance\-working at the intersection of ML, experimentation, and commercial impact. * Build and own ML models for customer segmentation, propensity scoring, and lifecycle prediction to enable targeted, high\-ROI growth interventions. * Design and iterate on promotional optimisation systems\-modelling incrementality, testing coupon strategies across customer segments, and optimising budget allocation. * Develop automated performance monitoring and anomaly detection pipelines that surface meaningful signals across key growth metrics. * Design, analyse, and improve experimentation frameworks; ensure statistical rigour across A/B tests and incrementality studies. * Work closely with product and engineering to take models from prototype to production\-you own the full lifecycle, not just the notebook. * Translate complex model outputs into clear, actionable insights for commercial and product stakeholders. **What you'll need:** * 1\-3 years of experience in data science or applied ML, ideally in a consumer technology or e\-commerce environment. * Strong ML fundamentals \-clustering, classification, regression, ranking, and reinforcement learning / bandit algorithms. * Proficiency in Python; experienced with standard ML and data libraries (scikit\-learn, XGBoost, pandas, etc.). * Strong SQL skills; comfortable working with large\-scale transactional datasets independently. * Solid understanding of causal inference and experimentation\- you know the difference between correlation and incrementality. * Experience deploying models in production environments, not just research settings. * Quick\-commerce, e\-grocery, or marketplace experience is a plus. **Who will excel?** * We’re looking for people with high standards, who understand that hard work matters. * You need to be relentlessly resourceful and operate with a deep bias for action. * We need people with the courage to be fiercely original. * noon is not for everyone; readiness to adapt, pivot, and learn is essential.