Job DescriptionAbout noon NWe’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. NnNoon’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. Nnnoon’s mission: Every door, every day NnWhat you'll do: NTeam noon has some of thefastest, 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. Nn Build and own ML models for customer segmentation, propensity scoring, and lifecycle prediction to enable targeted, high-ROI growth interventions. N Design and iterate on promotional optimisation systems-modelling incrementality, testing coupon strategies across customer segments, and optimising budget allocation.



N Develop automated performance monitoring and anomaly detection pipelines that surface meaningful signals across key growth metrics. N Design, analyse, and improve experimentation frameworks; ensure statistical rigour across A/B tests and incrementality studies. N Work closely with product and engineering to take models from prototype to production-you own the full lifecycle, not just the notebook. N Translate complex modeloutputs into clear, actionable insights for commercial and product stakeholders. NnnWhat you'll need: Nn 1-3 years of experience in data science or applied ML, ideally in a consumer technology or e-commerce environment. N Solid ML fundamentals -clustering, classification, regression, ranking, and reinforcement learning / bandit algorithms. N Proficiency in Python; experienced with standard ML and data libraries (scikit-learn, XGBoost, pandas, etc.). N Strong SQL skills;comfortable working with large-scale transactional datasets independently. N Solid understanding of causal inference and experimentation- you know the difference between correlation and incrementality. N Experience deploying models in production environments, not just research settings. N Quick-commerce, e-grocery, or marketplace experience is a plus. NnnWho will excel? Nn We’re looking forpeople with high standards, who understand that hard work matters. N You need to be relentlessly resourceful and operate with a deep bias for action. N We need people with thecourage to be fiercely original. N noon is not for everyone; readiness to adapt, pivot, and learn is essential. Nn

📌 Data Scientist - Growth (Haryana)
🏢 noon
📍 Haryana