Decision Scientist, Buyer

Our mission is to make second‑hand the first choice, and we're looking for people who want to help us and 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.

As the Decision Scientist in the Item Engagement team within the Buyer domain, you will be responsible for leading the analytical side of a cross‑functional team focused on maximizing buyer conversion and engagement on the item details page. The Buyer domain currently consists of six product teams:
Discovery & Rediscovery, Search & Refinement, Item Engagement, Recommender Relevance, Search Relevance and Content Visibility Management. Together, these teams work to improve the purchasing experience for Vinted members and help them find relevant items as easily as possible.

In this role, you will collaborate with a Product Manager and other team members to develop and analyse the impact of new and existing features and methods, such as AI Shopping Assistant and High Demand badge. You will also help uncover new focus areas for the team and lead analytical discovery efforts.

In addition, you will be part of the Buyer Decision Scientists group, which collaborates each quarter on technical improvements, broader domain‑level analyses, and the adoption of new technical capabilities. You will also take part in the Vinted‑wide Data Science and Analytics guild, which regularly organises knowledge‑sharing sessions and offsites.

• Partner with your cross‑functional team and stakeholders at Vinted to identify strategic opportunities and provide data‑driven recommendations.
• Test and analyse developed opportunities to validate their value and understand their business impact using statistical methods and visualisation tools.
• Select, calculate and monitor your team’s key performance indicators, proactively flagging issues, running analyses and identifying root causes.
• Enable your team and direct stakeholders to independently leverage data for business insights through self‑service dashboards and AI.
• Contribute to a data‑driven culture by promoting best practices in analytics and decision‑making to make data count.
• Ensure that new business initiatives are reviewed through the lens of a Decision Scientist and demonstrated to be impactful.

• Highly oriented toward business results and able to act as a multiplier for others.
• Strong communicator who can present results in an informative and persuasive manner to a wide range of stakeholders.
• Extensive experience as a Decision Scientist, Data Analyst or Data Scientist.
• Experience with A/B testing and product development.
• Strong knowledge of at least one statistical programming language (Python, R, Scala, etc.)
• Proficient in SQL and experienced with dashboarding tools (e.g. Looker, Tableau, etc.)
• You are passionate about applying AI to data analytics and excited to use intelligent tools and techniques to uncover insights, improve decision‑making and…