Job Description Join us in our Vendor Data team, where you will design, build, and implement advanced monetization and pricing models that shape the economic success of hundreds of thousands of restaurants and local businesses globally. Your contributions will unlock new revenue streams, optimise vendor monetisation, and guide data-driven decision-making – having a decisive impact on our global bottom-line. Furthermore, you will support our restaurant partners to provide affordable meals to more than 10 million people every day across 60 countries. We’re looking for a scientifically rigorous, yet strongly pragmatic and commercially-minded data scientist who thrives on complexity, impact, and autonomy. If you are a go-getter who is excited about high-performance environments and combines intellectual sharpness, strong commercial acumen, and a positive attitude, we would be excited to get to know you. What you’ll do Lead the development of econometric and machine learning models to optimise take rate, pricing strategies, and vendor monetisation, working alongside top commercial leaders and technical experts. Design, run, analyse, and improve experiments and A/B tests to validate your hypotheses in real-world settings. Present research and recommendations to senior executives, shaping company-wide strategy to enable our 1m restaurant partners across the globe to grow while monetizing our services sustainably. Partner closely with the Commercial, Product, and Data Engineering teams to embed advanced modelling and experimental insights into pricing, incentive, and vendor engagement decisions, while regularly delivering recommendations and insights to senior business leaders. Join a team with a proven track record in scaling billion-dollar tech business from scratch.