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You will be updated with latest job alerts via emailJoin 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.
Were 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 youll 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.
Qualifications :
Ph.D. in Economics or a similar field with an emphasis on quantitative research methods including forecasting causal inference machine learning and experiment design.
5 years of experience in data science roles ideally in Revenue Management Pricing or Monetization Analytics in e-commerce marketplaces fintech or AdTech
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
Youre a fast learner critical thinker and creative problem solver who strives for excellence - and youre hungry to take on complex ambiguous challenges
Willingness to take responsibility on high-stakes company-defining projects with substantial financial impact and eagerness to deliver clear recommendations to top management
Passion for data with creative problem-solving abilities and an eye for detail
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
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
Additional Information :
We believe diversity and inclusion are key to creating not only an exciting product but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities religious beliefs color national origin gender identities or expressions sexual orientations age marital or disability statuses or any other aspect that makes you you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experiencejust include it in your application. Youre welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.
Remote Work :
No
Employment Type :
Full-time
Full-time