Lead Decision Scientist, Revenue - Ads, Revenue
About the role
Lead Decision Scientist, Revenue - Ads, Revenue | Vinted Careers Vinted Relocation How We Hire Engineering Academy Data Science & Analytics Academy Marketing Tech Academy Internships Early Careers Blog Vinted Group Vinted Marketplace Vinted Go Vinted Pay Culture at Vinted About en Jobs Lead Decision Scientist, Revenue - Ads, Revenue Data Science & Analytics Berlin, Germany Vinted Marketplace Brief info about Vinted Our mission is to make second-hand the first choice, and we're looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre-loved clothing and lifestyle items, giving each piece a second life – or even a third. The Vinted Group is made up of three business units that support this mission: Vinted Marketplace is Europe’s leading platform for second-hand fashion and a go-to destination for all kinds of pre-loved items, with a growing range of categories. Our platform connects millions of members across 20+ markets, helping great items find a new life. Vinted Go enhances the shipping experience with a vast network of over 500,000 pick-up and drop-off points, partnering with more than 60 carriers across Europe, with added services like item verification for peace of mind on high-value pieces. Vinted Pay is the newest part of the Vinted Group, dedicated to bringing secure, reliable payments to buyers and sellers across Europe. Seamlessly integrated into the Vinted app, it helps keep every transaction safe, efficient, and easy for our members. Founded in 2008 in Lithuania, Vinted began as a way for friends to find new homes for clothes they no longer needed. In 2019, we became Lithuania's first unicorn! Today, our headquarters remain in Vilnius, and we've grown with offices across Europe, supported by a team of over 2,000 people. Information about the position Vinted’s Revenue domain is scaling fast, and our Ads business is on a mission to develop a world-class advertising ecosystem within Vinted. We are looking for a Staff Decision Scientist to act as a technical lead and crucial counterpart to our Data Science Lead. While our Data Scientists focus on optimization systems (algorithms, ranking, bidding), this senior individual contributor role is entirely focused on measurement, evaluation, and decision frameworks. You will be responsible for identifying and resolving systemic data problems, ensuring that Advertising products are evaluated consistently across advertiser performance, business impact, and overall marketplace health. You will bring structure to ambiguous decisions by defining the metrics, methodologies, and tradeoff frameworks needed to scale Ads responsibly across Vinted’s entire real estate. In this position, you’ll Own the Ads decision measurement framework. Create the analytical frameworks used to evaluate major Ads decisions across product, pricing, placement, and monetization, making risks, assumptions, and tradeoffs explicit. Develop tradeoff frameworks and guardrails. Create the standard framework to weigh short-term ads revenue and advertiser upside against marketplace health (transactions, listings, retention). You will "price the real estate" across the app (homepage, search, messaging, etc.) for different user segments and journeys. Define measurement and evaluation methodology. Establish evaluation standards where standard A/B testing isn't enough, including incrementality logic, attribution approaches, quasi-experimental methods, and practical frameworks for sparse data or delayed-measurement scenarios. Govern the Ads metric tree. Ensure advertiser, business, and marketplace metrics are clearly defined, consistently interpreted, decision-useful, and aligned across Product, Data Science, Commercial, and Leadership teams. Measure marketplace impact. Translate abstract marketplace risks into measurable signals. Establish practical ways to assess how Ads affect buyer/seller experience, organic discoverability, fairness, and long-term member retention. Partner on data and measurement readiness. Work closely with Analytics Engineering to define scalable, future-ready data models that align with decision-making needs. Ensure long-term data needs are aligned with business roadmaps. Align cross-functional strategies. Turn ambiguous questions from Product, AdOps, Commercial, and Strategy teams into quantifiable inputs and analytical frameworks that guide execution and surface methodological risks early. About you We are looking for someone who combines: Advertising publishing and marketplace knowledge. Strong analytical and causal inference judgment. High ambiguity tolerance and the ability to bring structure to complex problems. Experience designing measurement methodologies in imperfect environments (e.g., sparse data, misaligned-in-time measurements, quasi-experiments). Strong product and business sense, with the ability to convert signals into quantifiable inputs. The ability to influence senior cross-functional stakeholders through clarity and rigorous data. The strongest candidates will have experience in: Domains where short-term revenue gains must be carefully balanced against ecosystem health and long-term value. Creating decision frameworks for complex, real estate utilization tradeoffs. Have a structured, meticulous way of working when navigating high-complexity scopes. Be a conscious team player who proactively aligns with engineering, product, design, and commercial counterparts. Solid written and spoken English. Work