Job Description & How to Apply Below
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.
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