Brief info about Vinted 

Vinted Marketplace is the largest online international C2C marketplace in Europe dedicated to second-hand fashion, with millions of registered members spanning 20+ markets in Europe and North America. 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 40 carriers and more than 200,000 PUDO points across Europe to support the delivery of millions of parcels per year.  

The Vinted Group, composed of Vinted Marketplace and Vinted Go, is headquartered in Vilnius, with workplaces in Germany, Lithuania, France, the United Kingdom, the Netherlands and over 2,000 employees. It is backed by six leading venture capital firms: Accel, Burda Principal Investments, EQT Growth, Insight Partners, Lightspeed Venture Partners, and Sprints Capital. 

Information about the position 

Our team operates within the Buyer domain, the part of Vinted Marketplace that is concerned with the buyer-side of the marketplace. We develop features that enable our users to find the items they will love, whether through directed search or serendipitous discovery. Buyer domain is divided into several subdomains, each of which is an autonomous product team with its own Engineering, Design and Data Science & Analytics (DSA) specialists. You will work as a member of one of these subdomains. 

At Vinted, we have three distinct roles within DSA. We believe each role can make a similar business impact in different ways, and therefore our salary ranges are the same for all three roles. To understand your role within DSA context better, here are brief descriptions of each role we have in the department:

• Analytics Engineers are responsible for data curation – translating data needs from stakeholders into architecting, building and maintaining efficient & reliable data models and pipelines.
• Decision Scientists are responsible for actionable insights, identifying and sizing opportunities, and 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 identifying algorithmic opportunities, ensuring those opportunities are addressed optimally, and designing, developing, and maintaining production-grade statistical and machine learning algorithms.

In this position, you’ll 

• Create and improve machine learning products focusing on retrieval and ranking
• Contribute state-of-the-art knowledge about machine learning algorithms to ensure the competitiveness of Vinted through technology
• Work with Decision Scientists to conduct experiments on new machine learning features, both offline and in customer-facing A/B tests
• Assist the Engineers with the operationalisation of the machine learning products
• Assist the Product Manager with the estimation of opportunity sizes for machine learning initiatives
• Participate in the planning and monitoring of the subdomain projects
• Participate in domain-level initiatives on machine learning and AI

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
• Solid written and spoken English
• Advantage: Experience with ranking algorithms
• Advantage: Experience working in e-commerce or digital entertainment
• Advantage: Good at explaining details of machine learning methods to lay audiences

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 - € 4,333 gross per month.