Lead Decision Scientist, Revenue, Purchase & Order

The Revenue, Purchase & Order area spans three domains, which define the user experience through the entire escrow service funnel we offer at Vinted. From the value-driven pricing propositions, to smooth checkout and messaging experience, to the successful order fulfillment and addressing challenges when things go wrong. How do we optimise discounts for acceptable ROI and platform growth? How do we use pricing strategies for generating revenue without a cost on growth speed? How can we decrease cancellations through levers within and beyond your scope? And finally, how do we reduce friction for users9 order management? All these questions need guidance for measurement for us to be confident in steering the decision-making in the right direction.

We9re looking for a Lead Decision Scientist to join our Area DSA team to create impact by identifying and prioritising the most impactful problems to solve within this scope and ensuring they get resolved through influencing stakeholders, enabling your DSA peers to tackle them, or solving them on your own. We expect the Lead Decision Scientist to determine the right approach for each challenge.

You will report directly to the Area DSA lead, and will be part of the Area's DSA leads team. This setup will enable you to deliver impact across all three domains and will require close collaboration with all data roles and product directors for each domain.

• Identify, prioritise, and systematically resolve the most impactful Decision Science problems and opportunities across Pricing, Purchase & Order, ensuring solutions are effective, efficient, and viable long-term
• Build alignment by engaging domain leadership, peers, fellow decision scientists, and cross-functional stakeholders to validate priorities, clarify, and measure trade-offs
• Set and raise the standard for experimentation and decision-making across the scope by improving metrics, methods, interpretation, and how insights are translated into decisions
• Be responsible for the measurability of success for key Marketplace Product programs within your scope
• Partner with the domains' leadership to ensure measurability of OKRs and prioritise accordingly, where the input is needed the most
• Be ready to own and deliver selected initiatives hands-on yourself

• You have proven experience in a Decision Science, Data Analytics, or Data Science role.
• You possess excellent analytical thinking and problem-solving skills, with the ability to balance the depth of your analysis with tangible business impact. You are highly results-oriented and comfortable with iterative processes.
• You have strong knowledge of statistical methods, including experience running A/B tests, regression analysis, causal inference, and other inferential techniques. You can suggest alternative methods when standard approaches aren't the best fit.
• You have strong skills in SQL and Python. You treat data code like software, valuing reproducibility, clarity, and performance. You are comfortable with giving and receiving code and methodology reviews, and Git is part of your daily workflow. You are also experienced with BI tools like Looker, Tableau, or Power BI.
• You are fluent in written and spoken English and can convincingly present complex results and statistical concepts to both technical and non-technical audiences. You are effective in influencing decision-making without authority through data, communication, and collaboration.

• The opportunity to benefit from our share options programme
• 25 working days of holiday
• Newest MacBook models
• Free access to the office gym
• Digital mental and emotional health support and Employee Assistant Program (EAP)
• Home office support: we provide IT workstation equipment and a personal budget of up to 540 for home workplace furniture
• Private health insurance
• On-site canteen serving delicious homemade food at friendly prices
• Frequent team-building events
• A personal monthly budget for shopping on Vinted
• The opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workation
• A dog-friendly office