Senior Decision Scientist, Supply

Vinteden·Berlinsenior

In short

→Científico de decisiones senior enfocado en mejorar la estructura del catálogo y experiencia del usuario en Vinted.
→Día a día: diseño de pruebas A/B, análisis estadístico, colaboración con equipos de producto y taxonomía, y toma de decisiones basada en datos.
→Destacado: formar parte de una guild de ciencia de datos cruzada con equipos de toda Europa.

Proficiency in English is required.

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What they ask for

✓Experiencia comprobada como Científico de Decisiones, Analista de Datos o rol con fuerte componente de datos.
✓Habilidades en diseño y ejecución de experimentos de producto (A/B testing).
✓Conocimiento de modelos estadísticos y teoría de probabilidad.
✓Experiencia con métodos de inferencia causal (valor añadido).
✓Capacidad para colaborar con equipos de producto, taxonomía e ingeniería.
✓Habilidades sólidas en análisis de datos y visualización de resultados.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

A/B testingStatistical modellingProbability theoryCausal inferenceData-driven decision makingProduct experimentationKey performance indicatorsBehavioural metricsTaxonomy designOntologies Platform

Who should you write to at Vinteden?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

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 Join Vinted's Category Experience team, where we drive Vinted’s expansion into new categories and the improvement of existing ones. The team focuses on understanding, developing and expanding the structure of our catalog. The team works closely with Product teams across Vilnius and Berlin to ensure that our category tree and navigation tools fulfill the needs of our members and are easy to use. As a Decision Scientist in this team you will drive data-informed decisions to enhance the member experience with catalog. Next to the Category Experience team, you will be a part of the cross-domain Data Science & Analytics (DSA) guild where you will interact and learn from all data people in Vinted. In this position, you’ll • Partner with your team and stakeholders to identify strategic opportunities, answer critical business questions, and provide data-driven recommendations that improve category structures, taxonomy design, and member experience. • Co-create and support the product experimentation roadmap by defining A/B testing requirements, ensuring appropriate tracking is in place, and analysing test results to validate opportunities, measure business impact, and inform decision-making using statistical methods and visualisation tools. • Select, calculate, and monitor key performance indicators and behavioural metrics, proactively flagging issues and uncovering insights through deeper analysis. • Collaborate with Taxonomists to enable them to use a data-driven approach to Taxonomy Design and category structure. • Support the Ontologies Platform (engineering) team to answer their data analytics questions. About you • Proven experience as a Decision Scientist, Data Analyst, or other role with a strong data component. • Experience with designing and running product experiments (A/B testing), knowledge of statistical modelling, probability theory (bonus: experience with causal inference methods). • Strong bus

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