Company Description
As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero.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.
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
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
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 experience—just include it in your application. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.
