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. Our backers include Accel, EQT Growth, Insight Partners, Lightspeed Venture Partners, Sprints, and TPG.
Information about the position
As a Decision Scientist at Vinted, your work will have a tangible impact on the real world, empowering Vinted’s members to lead more sustainable lives. You will play a key role in shaping our product and business strategy by leveraging data to drive impactful decision-making. Decision Scientists at Vinted are distributed across our family of domains: Strategy & Planning, Marketing, Member Lifecycle, Buyer, Seller, Pricing & Revenue, Purchase, Order, Payments, Trust & Safety, Security, Help Experience, Vinted Go OpsTech, Vinted Go Points, and Vinted Go Network, either embedded in cross-functional product teams or as part of data teams, collaborating closely with colleagues to identify opportunities, generate insights, and improve member experiences. This role is ideal for someone who thrives in a fast-paced environment, enjoys problem-solving, and is passionate about using data to drive meaningful change. Our Decision Scientists work within the broader Data Science & Analytics (DSA) organisation, where we have three distinct roles. We believe that each role can make a similarly sized business impact in different ways, and therefore, our salary ranges are the same for all three roles. To understand your role within the DSA context better, here are brief descriptions of each role we have in the department:
Decision Scientists
are responsible for actionable insights, identifying and sizing opportunities, and developing automated tools that increase the quality of product and business decisions by applying statistical methods and data-driven decision-making.
Data Scientists
are responsible for identification of algorithmic opportunities, ensuring those opportunities are addressed in an optimal fashion and design, development and maintenance of production-grade statistical and machine learning algorithms.
Analytics Engineers
are responsible for data curation – translating data needs from stakeholders into architecting, building and maintaining efficient & reliable data models and pipelines.
As a Decision Scientist at Vinted, you’ll:
- Partner with your team and stakeholders at Vinted, to identify strategic opportunities and provide data-driven recommendations, as well as answer critical business questions.
- 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 understanding root causes
- Enable your team and direct stakeholders to independently leverage data for business insights via self-service dashboards
- Contribute to a data-driven culture by promoting best practices in analytics and decision-making to make data count.
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 discount 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.
We are currently hiring both mid and senior level Decision Scientists with the base salary range between €3,200 - €5,800 gross per month.
About you
- Experience in a Decision Science or Data Analytics role.
- Good analytical thinking and problem-solving skills, with the ability to balance depth of analysis with business impact.
- Familiarity with SQL and Python
- Experience with BI tools (e.g., Looker, Tableau, Power BI)
- Knowledge of statistical methods, such as A/B testing, regression analysis, and other inferential techniques.
- Highly results-oriented and comfortable with iterative processes
- Strong communicator who can convincingly present results to both technical and non-technical audiences
- Fluent in English, both written and spoken
If you’re excited about this role but don’t meet every requirement, we still encourage you to apply. We have multiple positions available across our different domains - your unique experience and perspective could be exactly what we need!
