.Not your usual app. We are the fastest-growing multi-category app connecting millions of users with businesses and couriers, offering on-demand services from more than 170,000 local restaurants, grocers and supermarkets, and high street retail stores. We operate in more than 1500 cities across 25 countries. Every year,+200k merchants generate over 4B€ in sales through our platform and over 20M customers get their goods delivered in minutes. We have a vision: To give everyone easy access to anything in their cities. And this is where your ride starts.YOUR MISSIONAs a Senior Product Data Scientist within our Order Experience team, you will harness your expertise in advanced analytics and Data Science to refine and elevate the quality of our global catalogue and to elevate our search engine.THE JOURNEYLeverage advanced statistical modelling 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 everything analytics 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 WILL BRING TO THE RIDE2-5 years of professional experience outside of an academic and internship setting, in a quantitative analysis role, preferably in product facing teams.A higher education in a scientific discipline such as Physics, Statistics, Computer Science, Mathematics or Economics.Knowledge and experience in digital product development and working with diverse stakeholders.Deep theoretical and applied knowledge in at least one of the following areas: supervised and unsupervised learning, deep learning, reinforcement learning, game theory, statistical inference, Bayesian statistics, causal inference, time series analysis, decision theory, mathematical optimisation.Good understanding of software development and agile methodologies.Mastery in SQL and statistical programming (Python) and experience working with popular libraries such as Pandas, SciPy, Seaborn, Jupyter/iPython notebooks.Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc).Knowledge of visualization tools like Tableau, Looker, PowerBI.Excellent spoken and written English.Even if it seems you don't meet our musts, don't let it stop you; we are all about finding the best talent out there! Skills can be learned, and embracing diversity is invaluable.We believe driven talent deserves:An enticing equity plan (if applicable).Top-notch private health insurance to keep you at your peak
