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Senior Decision Scientist, Trust & Safety

Vinteden Sourced

Berlin, Germany Full-time Not specified

No account needed — this role is applied for on the employer’s own site.

About the role

<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>Information about the position&nbsp;</h2> <p>You’ll become part of the Trust’s Detection team, with a mission to protect the Vinted community from harmful activities and content. The Detection team in the Trust domain is engaged in detecting, understanding, and stopping illegal, dangerous or inappropriate content within the Vinted Marketplace. As a Decision Scientist embedded in a product team, you will become part of a cross-functional team and drive quality decisions by bringing actionable insights from data.&nbsp;</p> <p>You will lead hypothesis-driven product experimentation, translating data into actionable insights and product improvements. You will design and evaluate experiments with support from experienced stakeholders, ensuring rigorous validation of results and a clear, measurable impact, while maintaining high standards of data quality and accessibility.</p> <h2>As a Decision Scientist at Vinted, you’ll:&nbsp;</h2> <ul> <li>Partner with your team and stakeholders to identify strategic opportunities and provide data-driven recommendations and answer critical business questions.</li> <li>Work alongside other decision scientists to detect and investigate specific fraud patterns.</li> <li>Test and analyse opportunities to validate their value and understand their business impact, using statistical methods and visualisation tools.</li> <li>Select, calculate, and monitor your team's key performance indicators, proactively flagging issues, running analyses, and understanding root causes</li> <li>Enable your team and direct stakeholders to independently leverage data for business insights via self-service dashboards.</li> <li>Contribute to a data-driven culture by promoting best practices in analytics and decision-making to make data count.</li> </ul> <h2>About you&nbsp;</h2> <ul> <li>Experience in a Decision Science or Data Analytics role (3+ years).</li> <li>Good analytical thinking and problem-solving skills, with the ability to balance depth of analysis with business impact.</li> <li>Familiarity with SQL and Python for data analytics.</li> <li>Experience with BI tools (e.g., Looker, Tableau, Power BI).<

Skills

Data Science & Analytics

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