Senior Data Scientist, Payments Intelligence

In this role you will become a part of the Payments Intelligence team in Vinted’s Payments business unit. This team consists of a mix of Analytics Engineers, Decision Scientists and Data Scientists and works together with the product and engineering teams in the business unit as well as other teams across the whole DSA function on cross-domain topics. The Payments business unit consists of two domains: Marketplace Payments and Vinted Pay. Marketplace Payments is responsible for everything that is needed to make it possible to pay for items on Vinted while Vinted Pay is a brand new payment service provider that we are building.

As a Data Scientist in the Payments Intelligence team, you will use data science tools techniques and engineering tools 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.

Within the Data Science & Analytics (DSA) function 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.

• Work with the payments anti-fraud team on the fraud classification engine
• Design and implement ML solutions related to transaction monitoring, anti money laundering, operations automation and other areas
• Work on and improve the data and ML infrastructure of the Payments business unit
• Understand business, product and operational problems, find opportunities, gather requirements for ML and automation projects and communicate these findings to your colleagues and stakeholders

• Have industry experience in data science or a similar field (ideally 3-5 years)
• Hands-on experience working with ML models in production
• Experienced in Python, Jupyter and the PyData stack
• Excellent written and spoken English
• Have experience with SQL and relational databases
• Strong understanding of statistics and ML theory
• Have experience with at least one of AWS, GCP, Azure or other cloud platforms
• Enjoy contributing as a supportive and collaborative team member
• Good at communicating data
• Advantage: Experience with payment processing or financial services

• The opportunity to benefit from our share options programme
• 30 days of paid annual leave
• Newest MacBook models
• Digital mental and emotional health support and Employee Assistant Program (EAP)
• Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
• Lunch benefit per your workday
• Frequent team-building events
• A personal monthly budget for shopping on Vinted
• Access to a discounted gym membership plan
• Pension Plan with Vinted matching 150% of your chosen contribution
• Supplemental Private Health Insurance
• Life and Disability insurance
• A subsidised Deutschlandticket for your commute to the office by public transport
• 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

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 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 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 € 69,700 - € 94,300 gross per year.