Senior Data Scientist, Member Lifecycle

Details

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

Vinted sends over a billion messages every month to millions of users, across multiple channels (e.g. push, email, in-app) and with multiple goals (marketing, transactional, legal). We are looking for an ambitious Data Scientist to join an early stage initiative to build Vinted’s communication decisioning layer from the ground up: A unified "brain" that evaluates eligible message candidates and decides whether to send, hold, drop, bundle, when to deliver, and through which channel, or whether silence is the most valuable action to protect long-term user trust. In this role, you will take ownership of the core ML algorithms, uplift models, and policy optimisation frameworks that govern Vinted’s communication flows.

In this position, you’ll

• Own core decisioning & modelling logic: Design, prototype, and refine multi-objective recommendation and delivery models (e.g., contextual bandits, uplift modelling, ranking, capping) that govern message selection, timing, and channel routing.
• Formulate the optimisation problem: Develop policies that maximise long-term member value and marketplace health (GMV, active buyers/sellers) while strictly controlling negative externalities like unsubscribes and notification fatigue.
• Evaluate impact: Establish reliable offline policy evaluation, and partner with Decision Scientists to design and run large-scale global holdout experiments, attributing incremental business impact and engagement quality.
• Bridge science to production: Collaborate closely with Engineers and Product to deploy prototype models into production pipelines.
• Build the future: Contribute to the long-term vision of a Vinted Communication Recommender.

About you

• Have a strong technical background through a degree in Computer Science, Mathematics, Statistics, Data Science, Engineering, or another quantitative field
• Hands-on experience developing and deploying machine learning algorithms in a product company or research setting
• 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 CRM recommender systems.

Work perks

• The opportunity to benefit from our share options programme
• 30 days of paid annual leave
• Newest MacBook models
• 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
• Lunch benefit per your workday
• Frequent team-building events
• A personal monthly budget for shopping on Vinted
• Access to a discounted gym membership plan
• Pension Plan with Vinted matching 150% of your chosen contribution
• Supplemental Private Health Insurance
• Life and Disability insurance
• A subsidised Deutschlandticket for your commute to the office by public transport
• 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

Working at Vinted

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 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.

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 annual gross salary range for this position is: €74.000 — €100.100 EUR