Data Scientist, Revenue - Ads

  • Vilnius, Lithuania
  • Data Science & Analytics
  • Vinted Marketplace

Brief info about Vinted 

Vinted is the leading second-hand fashion marketplace in Europe and a go-to destination for all kinds of second-hand items. With a mission to make second-hand the first choice worldwide, Vinted enables people to sell and buy second-hand clothes and lifestyle items from each other, helping give those items a second or even third life.

Vinted Go launched in 2022,  with a focus on developing products and solutions for more seamless shipping and delivery across Europe. Vinted Go has connected more than 60 carriers and more than 500,000 PUDO points across Europe to support the delivery of millions of parcels per year.

The Vinted Group, composed of Vinted Marketplace, Vinted Go, and Vinted Pay is headquartered in Vilnius, with workplaces in Germany, Lithuania, France, the United Kingdom, the Netherlands and over 2,000 employees. Its backers include Accel, EQT Growth, Insight Partners, Lightspeed Venture Partners, Sprints, and TPG.

Information about the 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.

About you:

  • 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.

Work perks 

  • The opportunity to benefit from our share options programme
  • 25 working days of holiday
  • Newest MacBook models
  • Free access to an office gym
  • Mental and emotional health support through the Mindletic app
  • 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

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 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 salary range for this position is € 3,200 - € 5,800 gross per month.


Submit your application

About you

Links

Additional information

Show resume text area
Show cover attachment

Are you legally authorised to work in the location you are applying to?

Your privacy takes top priority, which is why you can trust Vinted with the personal information you choose to share with us – it will only be used for recruitment purposes. 

Our Job Applicant Privacy Policy contains everything you need to know about how we use, store and collect this data, and your rights. Take a moment to read it before submitting your application: https://careers.vinted.com/privacy-policy.

We’d like to contact you about future opportunities at Vinted. But for this, you’ll need to consent to Vinted storing some of your personal data for up to 2 years – this includes your CV, email address, full name, and any other information you may have provided. Read our Job Applicant Privacy Policy if you’d like to learn more: https://careers.vinted.com/privacy-policy.

You can withdraw your consent at any time – just contact privacy.hr@vinted.com.

Select “Yes” if you give Vinted your consent to store your information for contacting you about future opportunities. Select “No” if you do not give Vinted your consent to store your information for contacting you about future opportunities.


Data Science & Analytics job offers
We’re making the second-hand first choice worldwide
Showing 7 out of 7