<p><strong>About noon </strong></p><p>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 Pricing Data Scientist who can help us move even faster.</p><p><br></p><p>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.</p><p><br></p><p>noon’s mission: Every door, every day.</p><p><br></p><p><strong>What you'll do:</strong></p><p>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. Pricing is one of the most important levers in our business — balancing customer conversion, sales, margin, competitiveness and long-term price perception across thousands of SKUs and stores. As a Pricing Data Scientist, you will work closely with Product, Commercial, Engineering and Data Science teams to build data-driven pricing systems that determine what price we should charge, where, and when.</p><ul><li>Build and improve SKU-level price elasticity models to understand how changes in price impact demand, conversion and revenue.</li><li>Develop models to identify competitor-sensitive SKUs and quantify the impact of competitive price differences.</li><li>Build price-demand curves to estimate potential sales at different price points and identify optimal prices.</li><li>Develop models to optimise pricing across key business objectives including conversion, GMV, PC1 and customer competitiveness.</li><li>Incorporate promotions, discounts, campaigns and other demand drivers into pricing and demand models.</li><li>Translate models into production pricing algorithms and decision systems.</li><li>Design and analyse experiments to measure the impact of pricing changes and continuously improve the models.</li><li>Develop methods to handle sparse data, promotions, seasonality, cannibalisation and other real-world pricing challenges.</li><li>Build monitoring and diagnostics to identify when pricing models are performing poorly or when market conditions change.</li><li>Work hands-on with large datasets using SQL and Python and independently investigate business problems.</li><li>Communicate model outputs and recommendations clearly to commercial and business stakeholders.</li></ul><p><br></p><p><strong>What you'll need</strong></p><ul><li>1-3 years of experience in Data Science, Applied Science, ML or a related quantitative field.</li><li>Strong understanding of statistics, machine learning and causal inference.</li><li>Strong experience with Python and SQL.</li><li>Good understanding of regression, experimentation, forecasting and optimisation.</li><li>Experience building models that have been deployed and used in real business decisions.</li><li>Strong analytical thinking and ability to translate ambiguous business problems into quantitative models.</li><li>Comfortable working with large, messy datasets and independently finding insights.</li><li>Strong communication skills — ability to explain complex modelling concepts to non-technical stakeholders.</li><li>Experience in pricing, retail, e-commerce, quick-commerce, FMCG or marketplaces is a strong plus.</li></ul><p><br></p><p><strong>Who will excel?</strong></p><ul><li>We’re looking for people with high standards, who understand that hard work matters.</li><li>You need to be relentlessly resourceful and operate with a deep bias for action. </li><li>We need people with the courage to be fiercely original. </li><li>noon is not for everyone; readiness to adapt, pivot, and learn is essential.</li></ul><p><br></p>