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
1. 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.
2. Design, run, analyse, and improve experiments and A/B tests to validate your hypotheses in real-world settings.
3. 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.
4. 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.
5. Join a team with a proven track record in scaling billion-dollar tech business from scratch.
Qualifications
6. in Economics or a similar field with an emphasis on quantitative research methods including forecasting, causal inference, machine learning and experiment design.
7. 5+ years of experience in data science roles, ideally in Revenue Management, Pricing, or Monetization Analytics in e-commerce, marketplaces, fintech, or AdTech
8. Experience with marketplace pricing dynamics, multi-modal optimisation, and revenue forecasting models, plus deep understanding of economic concepts such as price elasticity, contribution margins, ROI metrics, rebate mechanics, and segmentation analyses
9. You're a fast learner, critical thinker, and creative problem solver who strives for excellence - and you’re hungry to take on complex, ambiguous challenges
10. Willingness to take responsibility on high-stakes, company-defining projects with substantial financial impact and eagerness to deliver clear recommendations to top management
11. Passion for data, with creative problem-solving abilities and an eye for detail
12. Proficiency in Python and/or R, and SQL (preferably with BigQuery), with experience in statistical modelling and data visualisation (Tableau or similar) with continuous iteration
13. Excellent English communication skills, both written and oral, and able to explain complex modelling outcomes to both technical and non-technical audiences in a concise way