About noon

nWe’re building an ecosystem of digital products and services that power everyday life across the Middle East-quick, 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.

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nNoon’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.

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nnoon’s mission: Every door, every day

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nWhat you'll do:

nTeam 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.

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- Build and own ML models for customer segmentation, propensity scoring, and lifecycle prediction to enable targeted, high-ROI growth interventions.
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- Design and iterate on promotional optimisation systems-modelling incrementality, testing coupon strategies across customer segments, and optimising budget allocation.
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- Develop automated performance monitoring and anomaly detection pipelines that surface meaningful signals across key growth metrics.
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- Design, analyse,



and improve experimentation frameworks; ensure statistical rigour across A/B tests and incrementality studies.
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- Work closely with product and engineering to take models from prototype to production-you own the full lifecycle, not just the notebook.
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- Translate complex model outputs into transparent, actionable insights for commercial and product stakeholders.
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nWhat you'll need:

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- 1-3 years of experience in data science or applied ML, ideally in a consumer technology or e-commerce environment.
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- Strong ML fundamentals -clustering, classification, regression, ranking, and reinforcement learning / bandit algorithms.
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- Proficiency in Python; experienced with standard ML and data libraries (scikit-learn, XGBoost, pandas, etc.).
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- Strong SQL skills; comfortable working with large-scale transactional datasets independently.
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- Solid understanding of causal inference and experimentation- you know the difference between correlation and incrementality.
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- Experience deploying models in production environments, not just research settings.
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- Quick-commerce, e-grocery, or marketplace experience is a plus.
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nWho will excel?

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- We’re looking for people with high standards, who understand that hard work matters.
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- You need to be relentlessly resourceful and operate with a deep bias for action.
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- We need people with the courage to be fiercely original.
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- noon is not for everyone; readiness to adapt, pivot, and learn is essential.
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📌 Data Scientist - Growth (Haryana)
🏢 noon
📍 Haryana