Senior Data Scientist, Buyer

• 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, ranking and recommendations
• 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
• Partner with Engineers on the operationalisation of the machine learning products
• Partner with Product Manager on the estimation of opportunity sizes for machine learning initiatives
• Lead in the planning and monitoring of the subdomain projects
• Lead in domain-level initiatives on machine learning and AI, * 25 days of paid annual leave
• Newest MacBook models
• Digital mental and emotional health support and Employee Assistant Program (EAP)
• Frequent team-building events
• Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
• A daily lunch allowance
• ClassPass (Gym Membership subsidy)
• A personal monthly budget for shopping on Vinted
• Pension plan with total contribution of 12%, 8% by the Company and 4% by employee
• An NS mobility card
• 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.

Do you have experience in SQL?, * 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

Vinted is Europe’s biggest pre-loved fashion marketplace, with 45 million members in 15 countries. Our mission is green: we want to make second-hand the first choice globally.

A team of over 800 people from Vinted’s offices in Vilnius, Berlin, Prague and Utrecht develops and supports our platform. We have a unique work culture that’s based on aiming high, taking ownership, co-creating, caring, and growth.

We code with impact!