Decision Scientist, Payments Product
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
As a Decision Scientist at Vinted, you’ll be part of our Payments domain, which is responsible for processing payments across the Vinted Marketplace and developing Vinted Pay, our new payment organisation. You’ll work in a cross-functional product team focused on Vinted Pay, collaborating closely with a Product Manager, Engineering Manager, Front-end and Back-end Engineers, and a Decision Scientist (to be hired).
In this role, you’ll also be part of the Data Science & Analytics (DSA) function, reporting to the DSA Manager for Vinted Pay. You’ll work alongside the Owls team, stakeholders, and fellow DSA colleagues to support decision-making, solve everyday data challenges, and enhance our analytical capabilities.
Within 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 generating actionable insights and identifying and scoping opportunities. They maintain and contribute to 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 the identification of algorithmic opportunities, ensuring those opportunities are addressed in an optimal fashion and designing, developing and maintaining production-grade statistical and machine learning algorithms.
In this position, you’ll
- Join a cross-functional product team dedicated to building Vinted Pay, our new payment service provider.
- Leverage statistical and analytical tools to drive informed business decisions and strategy.
- Own the implementation, monitoring, and reporting of key business metrics.
- Design, execute, and analyse A/B tests, present findings, and enhance our experimentation capabilities.
- Lead or contribute to projects that uncover opportunities, optimise operations, and improve business processes using analytics, statistics, machine learning, and automation.
- Collaborate with colleagues on broader Payments domain and Data Science & Analytics (DSA) function initiatives.
- Expand your expertise in payments, analytics engineering, decision science, data science, and machine learning through hands-on experience and your allocated learning budget.
About you
- Experience in Data Analytics within a product team
- Strong statistical skills, with A/B testing experience as a plus.
- Excellent communication skills, able to present complex topics clearly and persuasively to different audiences.
- Analytical, strategic, and business acumen, with a problem-solving mindset.
- Proficiency in SQL and experience with dashboarding tools (e.g., Looker, Tableau).
- Hands-on experience with at least one statistical programming language (Python, R, etc.).
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 friendly 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
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.
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 €3,200 - €5,800 gross per month
If you’re excited about this role but don’t meet every requirement, we still encourage you to apply - your unique experience and perspective could be exactly what we need!