Decision Scientist, Account Verification

Information about the position

As a Decision Scientist at Vinted, your work will have a tangible impact on millions of members, helping build a safe, trustworthy marketplace so people can buy and sell sustainably with confidence.

We are looking for a Decision Scientist to join our Account Verification team within the Security domain. You will join a cross-functional team dedicated to ensuring that accounts are protected from unauthorized access. From multi-factor authentication and biometrics to phone verification and account recovery, our goal is to make security industry-leading yet effortless.

This role is ideal for someone who enjoys problem-solving and is passionate about using data to drive meaningful and fast change. You will act as a strategic partner, leveraging data to challenge assumptions, quantify trade-offs (balancing security protection vs. user friction), and shape our product strategy.

In this position, you’ll Drive Data-Informed Decisions: Partner with product manager, engineers, and designers to identify strategic opportunities, challenge default assumptions, and bring an evidence-based lens to product discovery. Balance Security & Member Friction: Model and analyze the trade-offs between security controls and user experience. Champion Rigorous Experimentation: Define tracking requirements, design A/B tests, and evaluate test results to validate the business impact of new verification methods and friction-reduction initiatives. Own Team Metrics & Root-Cause Analysis: Define, monitor, and iterate on key performance indicators (KPIs) for Account Verification; proactively investigate metric anomalies and uncover root causes. Empower Stakeholders: Build and maintain self-service Looker dashboards that enable stakeholders to independently track feature performance. Make Data Count: Participate actively in Vinted’s broader Data Science & Analytics (DSA) community, promoting analytical best practices, metric rigor, and knowledge-sharing.

About you

Experience in a Decision Science or Data Analytics role. Good analytical thinking and problem-solving skills, with the ability to balance depth of analysis with business impact. Working experience with SQL and Python or R Experience with BI tools (e.g., Looker, Tableau, Power BI) Knowledge of statistical methods, such as A/B testing, regression analysis, and other inferential techniques. Highly results-oriented and comfortable with iterative processes Strong communicator who can convincingly present results to both technical and non-technical audiences Fluent in English, both written and spoken Advantage: experience working in the Trust & Safety or Fraud-related area.

Work perks

The opportunity to benefit from our share options programme 25 days of paid annual leave Newest MacBook models Confidential Employee Assistance Program (EAP) for you and your family Frequent team-building events Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture Lunch benefit per working day Company bike leasing scheme Monthly budget for a flexible benefits platform Work from Home allowance A personal monthly budget for shopping on Vinted Collective Defined Contribution Pension plan NS Business Card for your commute to the office by public transport A dog-friendly office