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Lead Decision Scientist, Security

VintedKaunas, LithuaniaPosted 30 Oct 2026

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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 At Vinted, the Security domain protects our marketplace across critical member touchpoints: Registration, Login, User Verification, Bot Prevention, and Authentication & Authorization.

Every single member interacts with Security systems before making their first transaction. As a Lead Decision Scientist in Security, you will serve as the senior technical lead responsible for bringing structure, clarity, and analytical rigor to some of our most critical trade-off decisions. While our Engineering and Data Science teams build defensive infrastructure and detection models, your focus will be entirely on measurement, evaluation, and decision frameworks.

In Security, every action comes with a trade-off: stopping malicious actors earlier prevents harm, but intervening too early or aggressively can frustrate or block legitimate members. Today, we have multiple restriction tools available—from verification challenges to account bans—and we need a clear framework to decide when and how to apply each one. You will act as an autonomous strategic partner to Security leadership.

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You will own the analytical foundation for how we restrict malicious activity, quantify user friction versus harm prevention, and lead discovery on ambiguous, high-impact problems across the full user journey. In this position, you’ll Build decision frameworks for user restrictions: Design the logic that determines which restriction measure to apply (such as verification challenges or account bans) based on user risk and context.

Balance member friction against harm prevention: Quantify the trade-offs between stopping malicious actors early and keeping the onboarding experience seamless for genuine members. Lead strategic cross-team discovery: Tackle open-ended questions across the user journey, such as analyzing duplicate/multiple account networks, assessing bot patterns, or evaluating third-party security tools versus in-house solutions. Own domain metrics and impact measurement: Build and maintain the Security metric tree, guiding target-setting so product and business strategies are grounded in clear, measurable impact.

Raise experimentation standards: Guide best practices in A/B testing and causal inference in complex environments where traditional experimentation isn't always straightforward. Mentor and lead through influence: Coach embedded Decision Scientists across Security teams, foster a culture of open feedback and continuous learning, and elevate data literacy across the domain. About you Proven analytical track record: Demonstrated experience in Decision Science, Product Analytics, Econometrics, or related quantitative fields, with a history of leading complex analytical projects as a senior individual contributor.

Decision & trade-off frameworks: Solid experience designing metric systems and decision frameworks that balance competing objectives under ambiguity. Experimentation & causal inference: Strong practical foundation in A/B testing and causal inference. Structured problem solver: Comfortable taking open-ended, complex business challenges and translating them into clear, actionable analytical solutions. Collaboration & communication: Great communication skills - able to explain complex concepts simply, challenge assumptions constructively, and guide cross-functional stakeholders without needing formal authority.

Technical toolkit: Strong hands-on proficiency in SQL and Python or R for data analysis and modeling. Nice-to-have (not required): Previous experience in trust & safety, fraud prevention, risk assessment, cybersecurity, or two-sided marketplaces. Studies show that women and members of underrepresented communities often apply for jobs only if they meet 100% of the qualifications. If you don’t recognise yourself in all of the above, you might still be an excellent candidate for this position.

If this role excites you, we encourage you to apply. Work perks The opportunity to benefit from our share options programme 25 working days of holiday Access to all the tools & tech needed for work Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture Private health insurance Pension plan with flexible contribution options and a matching contribution from Vinted Confidential Employee Assistance Program (EAP) for you and your family Frequent team-building events A personal monthly budget for shopping on Vinted A dog-friendly office In Vilnius office: Gym & in-house meals at friendly prices In Kaunas office: a monthly lunch allowance, and a once-a-week provided in-house lunch and breakfast Working at Vinted Workation policy Better balance holidays with workdays by working remotely! Up to 90 days per year in the EU, of these, 21 days can be spent globally.

For non-EU citizens, it's 21 days worldwide. This can be combined with time off for vacation or personal time. Individual learning budget Each year, you’ll be given a learning budget (starting at €3,000), and a total of up to 10 working days over a 2-year period to support your personal and professional development. Hybrid work Our hybrid model, with 2 recommended office days a week, gives you and your team the flexibility to decide if and when you want to work from home, and when to catch up in person.

Equal opportunity We welcome applications from everybody, regardless of your background, identity, or life experiences. Job openings come with guides, not checklists. If you’re excited about a role, but don’t identify with every point in the ‘About you’ section, apply anyway – you might still be the perfect match! The gross monthly salary range for this position is: €6.167 — €8.342 EUR

Source listing: greenhouse_vinteden

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