Stand out for this role — generate a tailored resume and cover letter in about a minute.
Vinted is seeking a Data Scientist for the Buyer Domain to build and optimize ML models powering search relevance and personalized homepage recommendations. You will work on real-time ranking, dense retrieval, and large-scale personalization within a collaborative, hybrid-work environment.
Expect to partner with engineers and data teams, design experiments, and contribute to product decisions that impact millions of listings across Europe.
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.
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.
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. 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.
The Buyer Domain at Vinted is dedicated to creating a seamless, delightful, and highly engaging experience for our members as they search, discover, and purchase items. Our challenge is unique: unlike standard e-commerce, our peer‑to‑peer catalog consists of hundreds of millions of entirely unique, single‑inventory listings, with millions of new items uploaded daily. Connecting the right buyer with the perfect item in real‑time is at the very core of Vinted's success.
To tackle this challenge at scale, we are looking to bring talented Data Scientists into the Buyer Domain's two highly specialized, ML-focused teams:
We will work with you to match your background, technical interests, and experience with the team where you can drive the most impact. Regardless of the team you join, you will be a proactive product partner. We work in a highly collaborative culture to align on technical approaches, and we validate all changes through rigorous offline evaluation and online A/B testing on our custom-built, in‑house Experimentation platform.
We invest in your professional growth! As part of our commitment to continuous learning, we offer an annual learning budget to support your personal and career development through courses, certifications, workshops and more.
We’ve adopted a hybrid workplace model where 2 days in the office are recommended but not enforced. It’s up to you and your team to decide on the exact days you’ll spend working together in person.
The Vinted Group is committed to building an inclusive workplace where people from all walks of life feel a sense of belonging. We welcome applications from people of all backgrounds, identities and life experiences. At Vinted, all applicants are treated fairly without regard to their race, age, religion or belief, sex, national origin, citizenship, gender identity, sexual orientation, disability, or any other protected characteristic.
The annual gross salary range for this position is:
€67.700—€91.500 EUR