Manager of Data Science & Analytics, Help Experience

<div class="content-intro"><h2><strong>Brief info about Vinted&nbsp;</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.&nbsp;</span></p></div><h2><strong>Information about the position&nbsp;</strong></h2> <p>As the <strong>DSA Manager for Spark team in the Help Experience (HEX) domain</strong>, you will build, grow, and lead the team's Data Science &amp; Analytics group - currently a team of 6 individual contributors spanning two crafts : <strong>Decision Scientists</strong>, who size opportunities, run experiments, and measure support quality, and <strong>Data Scientists</strong>, who build production-grade statistical and machine learning models.<br><br>The Help Experience (HEX) domain owns the end-to-end journey of how members discover, access, and resolve help - from in-product guidance and self-serve content to assisted support, tooling, and post-resolution learning. Our mission is to make h