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
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
Work perks
- The opportunity to benefit from our share options programme
- 25 working days of holiday
- Newest MacBook models
- 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
- Never ending snacks and monthly lunch benefit
- Private health insurance
- 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.
The salary range for this position is € 3,200 - € 5,800 gross per month.
- 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 recommendation, ranking or retrieval based algorithms
- Advantage: Experience working in search engines (various industries), e-commerce, two-sided marketplaces, digital advertising, or digital entertainment)
- Advantage: Experience with operationalising machine learning models
- Advantage: Good at explaining details of machine learning methods to lay audiences
