Data Scientist, Payments Product

Details

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.

• 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 engine
• Identify opportunities, design and implement ML solutions related to transaction monitoring, anti money laundering and other areas
• Work on and improve the data and ML infrastructure of the payments department
• Design, run and evaluate A/B tests and other experiments

About you

• Have industry experience (typically 3+ years of experience) in data science or a similar field
• 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 visualising and communicating data
• Advantage: Experience in/with payments

Work perks

• The opportunity to benefit from our share options programme
• 25 working days of holiday
• Newest MacBook models
• Free access to an office gym
• 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
• Private health insurance
• On-site canteen serving delicious homemade food at discount prices
• 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

Vinted will set aside a yearly sum equal to 10-13.2% of your annual salary to be invested in your continuous professional development. You’ll be able to take the initiative to use it for covering relevant learning activities that benefit your role.

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.

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.