About the opportunityYOUR MISSIONAs a Product Data Scientist in the Discovery Group, you will be at the heart of how millions of users interact with Glovo every day. You will leverage product analytics and rigorous experimentation to optimize the core user funnel and shape how customers find and order food, groceries, and retail items.In this role, you’ll work across high-impact domain areas including Search, Restaurant Listings, Recommendations, and Ads Monetization. You will turn complex user behavior into actionable product discoveries, set a high bar for our experimentation culture, and build data-driven solutions that directly shape the general product roadmap.THE JOURNEYLeverage advanced statistical modeling and machine learning techniques to solve for product and business problems that drive the highest impact.Work closely with multi-disciplinary teams to define the product roadmap and strategy, monitor and give visibility of product metrics and KPIs.Drive product discovery, formulate data-driven hypotheses and convert them into analysis and actionable insights.Own analytics tasks end to end in the product development cycle:



from ideation and opportunity sizing to experimentation and post-launch impact analyses.Foster strong relationships with stakeholders acting as a strategic and supportive link between the technology, business, and product.What you need to be successfulWHAT YOU WILL BRING TO THE RIDE3-4 years of professional experience outside of an academic and internship setting, in a quantitative analysis role and in product facing teamsDemonstrable experience with the application of statistical modeling and advanced analytics to provide product-shaping insights and drive decision-makingDeep theoretical and applied knowledge in statistical inferences. Demonstrated experience in designing and analyzing large-scale experiments in digital products (A/B test, multivariate, etc).Mastery in SQL and Python for Data Science.Good spoken and written EnglishNice to have:Knowledge of visualization tools like Tableau, Looker, PowerBI.Applied knowledge in causal inference, and advanced experimentation techniques.A higher education in a scientific discipline such as Physics, Statistics, Mathematics, Engineering or Econometrics.We believe driven talent deserves:

📌 Product Data Scientist (They/She/He) (Les)
🏢 Delivery Hero
📍 Les