About the Role
<div class="content-intro"><h2><strong>Brief info about Vinted </strong></h2> <p data-renderer-start-pos="1"><span data-sheets-root="1">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. <br>The Vinted Group is made up of three business units that support this mission:<br><br><strong><a href="https://careers.vinted.com/marketplace" target="_blank">Vinted Marketplace</a></strong> 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><br><a href="https://careers.vinted.com/vintedgo" target="_blank"><strong>Vinted Go</strong></a> 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><br><a href="https://careers.vinted.com/vintedpay" target="_blank"><strong>Vinted Pay</strong></a> 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><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. </span></p></div><h2><strong>Information about the position </strong></h2> <p>Backed by significant and increasing investments, Marketing is the primary driver of our platform's growth, accelerating our progress toward Vinted's mission of making second-hand the first choice worldwide.</p> <p>As a Manager within the Marketing Data Science and Analytics team, you'll lead a team of Data Scientists and Decision Scientists. You will help improve our in-house measurement framework covering attribution, media-mix, lifetime value modelling, experimentation and advanced long-term effect measurement. The problems are technically complex, and they directly inform decisions on how we spend our marketing budget.</p> <p>Alongside the measurement framework, you will ensure the scalability of our models and analytics with a strong focus on using AI to speed up development and improve quality.</p> <p>You'll report to the domain's Director of Data Science & Analytics, who'll support your technical and leadership growth.</p> <h2><strong>In this position, you’ll </strong></h2> <ul> <li><strong>Lead the team</strong>: manage, mentor and grow 4-6 Decision Scientists and Data Scientists, covering planning, onboarding, career development, performance reviews, and feedback culture.</li> <li><strong>Own measurement strategy</strong>: lead improvements to attribution, media-mix, lifetime value modelling and long-term effect measurement.</li> <li><strong>Build for scale</strong>: make advanced measurement repeatable and self-service, using modern AI tools to help the team build better models and work faster.</li> <li><strong>Stay close to the work</strong>: dedicate part of your time to our most complex, high-impact projects, both as a sparring partner and hands-on where needed.</li> <li><strong>Work cross-functionally</strong>: partner with Growth Marketing, Brand Marketing, Member Engagement Marketing and Marketing Data Science & Analytics to turn data and models into actions and budget decisions.</li> </ul> <h2><strong>About you </strong></h2> <ul> <li>Curious, with a strong drive to learn and improve.</li> <li>Collaborative, open to feedback, and comfortable giving it directly.</li> <li>Comfortable in a fast-paced environment and able to prioritise with limited resources.</li> <li>Quantitative background - Data Science, Statistics, Economics, Maths, Computer Science or similar.</li> <li>Enough technical depth to challenge and act as a strong sparring partner for senior ICs o