Decision Scientist, Buyer

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

As the Decision Scientist in the Item Engagement team within the Buyer domain, you will be responsible for leading the analytical side of a cross-functional team focused on maximizing buyer conversion and engagement on the item details page. The Buyer domain currently consists of six product teams: Discovery & Rediscovery, Search & Refinement, Item Engagement, Recommender Relevance, Search Relevance and Content Visibility Management. Together, these teams work to improve the purchasing experience for Vinted members and help them find relevant items as easily as possible.

In this role, you will collaborate with a Product Manager and other team members to develop and analyse the impact of new and existing features and methods, such as AI Shopping Assistant and High Demand badge. You will also help uncover new focus areas for the team and lead analytical discovery efforts.

In addition, you will be part of the Buyer Decision Scientists group, which collaborates each quarter on technical improvements, broader domain-level analyses, and the adoption of new technical capabilities. You will also take part in the Vinted-wide Data Science and Analytics guild, which regularly organises knowledge-sharing sessions and offsites.

In this position, you’ll

Partner with your cross-functional team and stakeholders at Vinted to identify strategic opportunities and provide data-driven recommendations.

Test and analyse developed opportunities to validate their value and understand their business impact using statistical methods and visualisation tools.

Select, calculate and monitor your team’s key performance indicators, proactively flagging issues, running analyses and identifying root causes.

Enable your team and direct stakeholders to independently leverage data for business insights through self-service dashboards and AI.

Contribute to a data-driven culture by promoting best practices in analytics and decision-making to make data count.

Ensure that new business initiatives are reviewed through the lens of a Decision Scientist and demonstrated to be impactful.

About you

Highly oriented toward business results and able to act as a multiplier for others.

Strong communicator who can present results in an informative and persuasive manner to a wide range of stakeholders.

Extensive experience as a Decision Scientist, Data Analyst or Data Scientist.

Experience with A/B testing and product development.

Strong knowledge of at least one statistical programming language (Python, R, Scala, etc.)

Proficient in SQL and experienced with dashboarding tools (e.g. Looker, Tableau, etc.)

You are passionate about applying AI to data analytics and excited to use intelligent tools and techniques to uncover insights, improve decision-making and solve real-world business problems.

University degree in statistics, econometrics, economics, business, or a related field.

Excellent written and spoken English skills.

Work perks

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

Digital mental and emotional health support and Employee Assistant Program (EAP)

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

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 gross monthly salary range for this position is:

€3.433—€4.650 EUR