Senior Data 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. Our 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'd join as a Senior member of the either the Discovery or Search team within Buyer. 

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, 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

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 sp