EU remote
Decision Scientist, Search Relevance
About this role
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 As a Decision Scientist in the Search Relevance team within the Buyer domain, you will partner with Data Scientists, Engineers, and a Product Manager to improve how members search our catalog and maximize buyer conversion.
The Buyer domain is organized across three layers of product teams: the Experience layer (Discovery & Rediscovery, Search & Refinement), the Content layer (Search Relevance, Recommender Relevance, Content Visibility Management), and the Platform layer (Search Platform, Content Visibility Platform). Together, these teams ensure members find relevant items effortlessly across millions of unique second-hand listings. Within Search Relevance, our scope spans the entire search journey: from semantic and keyword retrieval (including Dense Retrieval vector search) to multi-stage ML ranking (pre-ranking, deep reranking, and personalization).