Senior Data Scientist, Buyer

ppOur 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.br/The Vinted Group is made up of three business units that support this mission:br/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.br/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.br/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.br/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. /ph3Information about the position /h3pThe Buyer Domain at Vinted is dedicated to creating a seamless, delightful, and highly engaging experience for our members as they search, discover, and purchase items. Our challenge is unique: unlike standard e‑commerce, our peer‑to‑peer catalog consists of hundreds of millions of entirely unique, single‑inventory listings, with millions of new items uploaded daily. Connecting the right buyer with the perfect item in real‑time is at the very core of Vinted's success. /ppTo tackle this challenge at scale, we are looking to bring talented Data Scientists into the Buyer Domain's two highly specialized, ML-focused teams: /pulliSearch Relevance: This team is responsible for the retrieval and ranking systems that power search queries across all markets. Their mission is to ensure our members can effortlessly find exactly what they are looking for in Vinted's vast, unique catalog. The team's ownership and focus areas include multi-stage search ranking pipelines, query intent classification, semantic dense retrieval, and the integration of ML relevance models with content policy controls, all optimized for real‑time execution. /liliRecommender Relevance: This team owns the Recommender System that powers Vinted’s Homepage Feed and which is responsible for driving a significant portion of all discoveries and purchases across the platform. Their mission is to inspire our members by surfacing highly personalized, engaging, and relevant recommendations. The team's ownership and focus areas include deep sequence‑based user modeling, real‑time candidate generation and ranking, and exploration of diverse member interests, built to handle massive scale and high‑throughput constraints. /li /ulpWe will work with you to match your background, technical interests, and experience with the team where you can drive the most impact. Regardless of the team you join, you will be a proactive product partner. We work in a highly collaborative culture to align on technical approaches, and we validate all changes through rigorous offline evaluation and the online A/B testing on our custom‑built, in‑house Experimentation platform. /ph3In this position, you’ll /h3ulliBuild and optimize end‑to‑end machine learning models for retrieval, ranking, and personalization (e.g. gradient boosting, two‑tower architectures, sequence models, and neural rerankers). /liliPartner closely with platform and software engineers to serve models directly in our search and recommendation engines, optimizing for high throughput and millisecond‑level latency budgets. /liliLead or contribute to collaborative design proposals for new modeling approaches, features, or training pipelines. /liliDefine tracking requirements, perform offline evaluations, and design and analyze online A/B tests to measure real‑world business impact. /liliCollaborate with Data, Engineering and Product stakeholders to identify product opportunities, translate business problems into ML objectives, and align on technical trade‑offs. /liliShare knowledge, participate in peer reviews, and actively contribute to the growth and development of other scientists in the ML Guild and the Data Science Analytics function. /li /ulh3About you /h3pWe are looking for Data Scientists who strike a balance between deep technical curiosity and practical business impact, engineers who are passionate about making second‑hand fashion highly discoverable. /pulliA strong collaborator with hands‑on experience designing, training, and deploying machine learning models in a production environment (ideally within search, recommendations, or large‑scale personalization). /liliHigh proficiency in Python and SQL. Experience with deep learning frameworks and gradient boosting libraries. /liliSolid understanding of modern information retrieval, Learning‑to‑Rank (LTR), semantic search, or sequence‑based user preference modeling. /liliExperience or strong interest in high‑performance model serving. Familiarity with search/vector engines like Vespa or Elasticsearch, and serving frameworks like Triton, is a plus. /liliComfort working with massive datasets in modern cloud‑based data warehouses. /liliStrong grasp of statistics, offline evaluation metrics, and online A/B testing methodologies. /liliThe opportunity to benefit from our share options programme /lili25 days of paid annual leave /liliConfidential Employee Assistance Program (EAP) for you and your family /liliFrequent team‑building events /liliHome office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture /liliAccess to a discounted gym membership plan /liliA personal monthly budget for shopping on Vinted /liliCollective Defined Contribution Pension plan /liliNS Business Card for your commute to the office by public transport /liliThe opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workation /liliA dog‑friendly office /li /ulh3Working at Vinted /h3pIndividual Learning Budget /ppWe invest in your professional growth! As part of our commitment to continuous learning, we offer an annual learning budget to support your personal and career development through courses, certifications, workshops and more. /ppHybrid Work /ppWe’ve adopted a hybrid workplace model where 2 days in the office are recommended but not enforced. It’s up to you and your team to decide on the exact days you’ll spend working together in person. /ppThe Vinted Group is committed to building an inclusive workplace where people from all walks of life feel a sense of belonging. We welcome applications from people of all backgrounds, identities and life experiences. At Vinted, all applicants are treated fairly without regard to their race, age, religion or belief, sex, national origin, citizenship, gender identity, sexual orientation, disability, or any other protected characteristic. /ppThe annual gross salary range for this position is: /p /p #J-18808-Ljbffr