Senior Data Scientist, Adtech, Revenue (Limited-Time Relocation Bonus)

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. 

Position

Vinted’s Revenue domain is growing — Ads business is on the mission to develop an advertising ecosystem within Vinted and we’re just getting started. We’re looking for a Data Scientist to join our cross-functional team in Ads to help us make the most of our real estate and evolve toward a high‑performance, privacy‑respectful, in‑house advertising ecosystem over time. Think: an ad of an external partner can generate euros directly but we may well advertise our own Marketplace services or newly launched categories to optimise on net revenue as well as user engagement. If you love shaping greenfield problems, balancing modelling with pragmatic coding, and turning data into decisions that scale, this role is for you.

In this position, you’ll 

• Drive domain objectives: Own the core Ads optimisation and modelling algorithms to drive revenue and performance.
• Lead and innovate: Prototype internal and external ads optimisation and recommendation models, and validate them via experiments and simulations. You’ll be able to bring structure to an early-stage problem space.
• Raise the bar on quality: Establish clear metrics for success (delivery health, incremental revenue, ad harm), instrument reliable measurement through experimentation.
• Unlock impact with data: Leverage internal behavioural signals to improve impression performance while respecting user well-being. Turn insights into actionable policies that scale across campaigns and surfaces.
• Ensure collaboration and alignment: Partner closely with Decision Scientists, Ads Engineering, Ad Operations, Product, and Revenue leadership teams to translate business goals into robust data and model choices. Communicate trade-offs clearly and early.
• Coordinate across teams: Work with platform and data teams to access the right datasets, improve data quality, and integrate your prototypes into production systems. Bonus if you can take models to production yourself.
• Build the future: Contribute to the long-term vision of a Vinted Ads Network. Start by nailing volume and reliability; then help us go deeper on relevance, efficiency, and ethical optimisation.
• Continuously improve: Stay current on optimisation, experimentation, and ads tech best practices — and bring those ideas into our day-to-day.

Your qualification

• Have a strong technical background through a degree in Computer Science, Mathematics, Mechanical Engineering, or a related field
• Have hands-on first experience with developing machine learning algorithms gathered in a product company or in academic research
• Well-versed in Python and SQL, BigQuery is an advantage
• Have a structured, meticulous way of working when trying out different approaches towards a set goal
• Be a conscious team player who understands when their work touches that of other team members and proactively aligns with them
• Good at explaining details of machine learning methods to lay audiences
• Solid written and spoken English
• Advantage: Experience with recommendation, ranking or retrieval based algorithms
• Advantage: Experience working in e-commerce, two-sided marketplaces, or digital advertising
• Advantage: Experience with productionising machine learning models in real-time use cases
• Advantage: Understanding of user harm/UX impact measurement and safety guardrails in recommender/ads systems.

Studies show that women and members of underrepresented communities often apply for jobs only if they meet 100% of the qualifications. If you don’t recognise yourself in all of the above, you might still be an excellent candidate for this position. If this role excites you, we encourage you to apply.

What we offer

• Joining us from outside Lithuania? You're eligible for our Limited-time Relocation Package! It includes a €30k gross bonus and 2 months of temporary housing (check for more info)
• The opportunity to benefit from our share options programme
• 25 working days of holiday
• Access to all the tools & tech needed for work
• Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
• Private health insurance
• Mental and emotional health support through the Mindletic app
• 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
• In Vilnius office: Gym & in-house meals at friendly prices
• In Kaunas office: a monthly lunch allowance, and a once-a-week provided in-house lunch and breakfast

Additional details

Limited-time Relocation Package

This position is based in Lithuania, and if you're not (yet) don't worry! We're here to help you settle in with premium relocation assistance and a generous €30,000 gross bonus. If you feel that Vinted is your perfect cultural fit—apply! For more info, refer to our Relocation page.

Individual Learning Budget

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.

Hybrid Work 

We’ve adopted a hybrid workplace model where 2 days in 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.

Equal Opportunity

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 gross monthly salary range for this position is:

€4.608—€6.233 EUR