Decision Scientist / Data Analyst, Trust & Safety

Details

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

This role will see you become part of the Trust & Safety Domain, with a mission to protect the Vinted community from harmful activities and content. You will investigate, prioritise, and design strategies to fight offences such as phishing, fraud, and counterfeiting.

You will leverage your analytical skills and expertise to drive data-backed decision-making, discover effective solutions against safety issues, design & run experiments, and co-create a safer and more trustworthy platform for our members.

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

• Collaborate with your team and direct stakeholders to identify strategic opportunities and answer key business questions
• Ensure these questions are answered in an optimal fashion (e.g. in the form of an ad hoc deep-dive, experiment, or dashboard)
• Analyze identified opportunities to understand their scope and impact
• Own the key performance indicators for a team, including selection, target-setting, tracking, and proactively flagging issues
• Enable your team and direct stakeholders to independently leverage data for business insights via self-serving and dashboarding tools
• Define the requirements for (A/B) testing and analyse the results
• Help to create a backlog with prioritised hypotheses and analyses

About you

• Extensive working experience as a Decision Scientist, Data Analyst, Data Scientist or a related position
• A good communicator who can present complex topics clearly and persuasively to different audiences
• Excellent written and spoken English
• Strong analytical, strategic, and business skills
• A degree in statistics, physics, econometrics, economics, business or a similar field
• Statistical proficiency (e.g. A/B testing, regression analysis)
• Knowledge of at least one statistical programming language (Python, R, etc.)
• Advantage: Fluency in SQL and experience with dashboarding tools (e.g. Looker, Tableau, etc.)
• Advantage: experience working in a tech company or in a cross-functional product development team

Work perks

• Opportunity to join our share options programme
• 25 working days of holiday
• Remote workout classes
• Mental- and emotional-health support from Mindletic
• Private health insurance
• A canteen that serves homemade food at friendly prices
• Monthly team-building events
• A personal budget for shopping on Vinted
• A yearly workation allowance of 90 days, 21 of which can be spent working outside of the EU
• Dog-friendly office
• Home office support (IT workstation equipment provided + a personal budget of up to 540 € for home workplace furniture)

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 € 2,983–5,800 (gross) per month.

If this sounds interesting – you may well be just who we need. Apply and we’ll be in touch.