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 We are building a payments organisation that processes billions of euros across our markets. Our goal is to scale globally through a network of payment providers, compliance, and regulation controls, ensuring a seamless payment experience.As a Data Scientist in the Payments Intelligence team, you will use data science tools and techniques to solve various payment-related challenges. This distributed team spans Vilnius and Berlin and focuses on data science, decision science, and analytics engineering within the Payments domain. You will collaborate with engineers, product managers, and data colleagues across the company.You will also be part of the cross-domain Data Science & Analytics (DSA) guild where you will interact and learn from all data people in Vinted. Within Data Science & Analytics (DSA) 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 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 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.In this position, you’ll Work with the payments fraud team on the fraud classification engineIdentify opportunities, design and implement ML solutions related to transaction monitoring, anti money laundering and other areasWork on and improve the data and ML infrastructure of the payments departmentDesign, run and evaluate A/B tests and other experimentsAbout you Have industry experience in data science or a similar field (ideally 3+ years)Hands-on experience working with ML models in productionExperienced in Python, Jupyter and the PyData stackExcellent written and spoken EnglishHave experience with SQL and relational databasesStrong understanding of statistics and ML theoryHave experience with at least one of AWS, GCP, Azure or other cloud platformsEnjoy contributing as a supportive and collaborative team memberGood at visualising and communicating dataAdvantage: Experience in/with paymentsWork perks  The opportunity to benefit from our share options programme30 days of paid annual leaveNewest MacBook modelsMental and emotional health support through the Mindletic appHome office support: we provide IT workstation equipment and a personal budget of up to 540 for home workplace furnitureA daily lunch allowanceFrequent team-building eventsA personal monthly budget for shopping on VintedA subsidised gym membership with ClassPass or Urban Sports CardA subsidised pension plan provided by VintedHallesche Supplemental health insuranceLife and disability insurance providedA subsidised DeutschlandticketThe opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workationA dog-friendly officeWorking at Vinted Individual Learning BudgetWe 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 WorkWe’ve adopted a hybrid workplace model where 2 days in the 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 OpportunityThe 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 69,000 - 93,400 gross per year.