Lead Decision Scientist, Revenue - Ads, Revenue

Vinted group.; Amsterdam; On-site; EUR 130,000 - 170,000; Full time

Benefits offered by this job

Share options

25 days annual leave

EAP program

Team-building events

Home office budget €540

Bike leasing

Flexible benefits budget

Work from Home allowance

Shopping budget

Pension plan

Public transport card

Dog-friendly office

Learning budget

Job summary

Vinted Group is seeking a Lead Decision Scientist to join the Revenue - Ads team in Amsterdam. You will own measurement frameworks for Ads decisions, define evaluation standards, and partner with Data Science and Analytics to scale trusted insights across product and marketplace.

You’ll translate complex questions into quantitative frameworks, build guardrails balancing short-term revenue with marketplace health, and align cross-functional stakeholders through rigorous data.

Qualifications

• Advertising publishing and marketplace knowledge.
• Strong analytical and causal inference judgment.
• High ambiguity tolerance and the ability to bring structure to complex problems.
• Experience designing measurement methodologies in imperfect environments (e.g., sparse data, misaligned-in-time measurements, quasi-experiments).
• Strong product and business sense, with the ability to convert signals into quantifiable inputs.
• The ability to influence senior cross-functional stakeholders through clarity and rigorous data.

Responsibilities

• Own the Ads decision measurement framework. Create analytical frameworks to evaluate Ads decisions across product, pricing, placement, and monetization, making risks and tradeoffs explicit.
• Develop tradeoff frameworks and guardrails to weigh short-term revenue vs marketplace health across homepage, search, messaging, etc.
• Define measurement and evaluation methodology, including incrementality logic, attribution approaches, quasi-experiments, and sparse data handling.
• Govern the Ads metric tree with clear, consistent definitions used by Product, Data Science, Commercial and Leadership teams.
• Measure marketplace impact by translating risks into signals affecting buyer/seller experience, discoverability, fairness and retention.
• Partner with Analytics Engineering to define scalable data models aligned with decision-making needs.
• Align cross-functional strategies by turning ambiguous questions into quantifiable inputs for execution.

Skills

Ad ops knowledge

Analytical thinking

Causal inference

Ambiguity tolerance

Measurement design

Product sense

Stakeholder influence

Job description

Lead Decision Scientist, Revenue - Ads, Revenue

Data Science & Analytics

Amsterdam, Netherlands

Vinted Marketplace

Brief info about Vinted

Our mission is to make second-hand the first choice, and we're looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre-loved clothing and lifestyle items, giving each piece a second life - or even a third.
The Vinted Group is made up of three business units that support this mission:
Vinted Marketplace is Europe’s leading platform for second-hand fashion and a go-to destination for all kinds of pre-loved items, with a growing range of categories. Our platform connects millions of members across 20+ markets, helping great items find a new life.
Vinted Go enhances the shipping experience with a vast network of over 500,000 pick-up and drop-off points, partnering with more than 60 carriers across Europe, with added services like item verification for peace of mind on high-value pieces.
Vinted Pay is the newest part of the Vinted Group, dedicated to bringing secure, reliable payments to buyers and sellers across Europe. Seamlessly integrated into the Vinted app, it helps keep every transaction safe, efficient, and easy for our members.
Founded in 2008 in Lithuania, Vinted began as a way for friends to find new homes for clothes they no longer needed. In 2019, we became Lithuania's first unicorn! Today, our headquarters remain in Vilnius, and we've grown with offices across Europe, supported by a team of over 2,000 people.

Information about the position

Vinted’s Revenue domain is scaling fast, and our Ads business is on a mission to develop a world-class advertising ecosystem within Vinted. We are looking for a Lead Decision Scientist to act as a strategic technical partner and crucial counterpart to our Data Science Lead.

While our Data Scientists focus on optimization systems (algorithms, ranking, bidding), this senior individual contributor role is entirely focused on measurement, evaluation, and decision frameworks. You will be responsible for identifying and resolving systemic data problems, ensuring that Advertising products are evaluated consistently across advertiser performance, business impact, and overall marketplace health. You will bring structure to ambiguous decisions by defining the metrics, methodologies, and tradeoff frameworks needed to scale Ads responsibly across Vinted’s entire real estate.

In this position, you’ll

• Own the Ads decision measurement framework. Create the analytical frameworks used to evaluate major Ads decisions across product, pricing, placement, and monetization, making risks, assumptions, and tradeoffs explicit.
• Develop tradeoff frameworks and guardrails. Create the standard framework to weigh short-term ads revenue and advertiser upside against marketplace health (transactions, listings, retention). You will "price the real estate" across the app (homepage, search, messaging, etc.) for different user segments and journeys.
• Define measurement and evaluation methodology. Establish evaluation standards where standard A/B testing isn't enough, including incrementality logic, attribution approaches, quasi-experimental methods, and practical frameworks for sparse data or delayed-measurement scenarios.
• Govern the Ads metric tree. Ensure advertiser, business, and marketplace metrics are clearly defined, consistently interpreted, decision-useful, and aligned across Product, Data Science, Commercial, and Leadership teams.
• Measure marketplace impact. Translate abstract marketplace risks into measurable signals. Establish practical ways to assess how Ads affect buyer/seller experience, organic discoverability, fairness, and long-term member retention.
• Partner on data and measurement readiness. Work closely with Analytics Engineering to define scalable, future-ready data models that align with decision-making needs. Ensure long-term data needs are aligned with business roadmaps.
• Align cross-functional strategies. Turn ambiguous questions from Product, AdOps, Commercial, and Strategy teams into quantifiable inputs and analytical frameworks that guide execution and surface methodological risks early.

About you

We are looking for someone who combines:

• Advertising publishing and marketplace knowledge.
• Strong analytical and causal inference judgment.
• High ambiguity tolerance and the ability to bring structure to complex problems.
• Experience designing measurement methodologies in imperfect environments (e.g., sparse data, misaligned-in-time measurements, quasi-experiments).
• Strong product and business sense, with the ability to convert signals into quantifiable inputs.
• The ability to influence senior cross-functional stakeholders through clarity and rigorous data.

The strongest candidates will have experience in:

• Domains where short-term revenue gains must be carefully balanced against ecosystem health and long-term value.
• Have a structured, meticulous way of working when navigating high-complexity scopes.
• Be a conscious team player who proactively aligns with engineering, product, design, and commercial counterparts.
• Solid written and spoken English.
• The opportunity to benefit from our share options programme
• 25 days of paid annual leave
• Confidential Employee Assistance Program (EAP) for you and your family
• Frequent team-building events
• Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
• Company bike leasing scheme
• Monthly budget for a flexible benefits platform
• Work from Home allowance
• A personal monthly budget for shopping on Vinted
• Collective Defined Contribution Pension plan
• NS Business Card for your commute to the office by public transport
• A dog-friendly office

Working at Vinted

Workation policy

Better balance holidays with workdays by working remotely! Up to 90 days per year in the EU, of these, 21 days can be spent globally. For non-EU citizens, it's 21 days worldwide. This can be combined with time off for vacation or personal time.

Individual Learning Budget

Each year, you’ll be given a learning budget (starting at €3,000), and a total of up to 10 working days over a 2-year period to support your personal and professional development.

Hybrid Work

Our hybrid model, with 2 recommended office days a week, gives you and your team the flexibility to decide if and when you want to work from home, and when to catch up in person.

We welcome applications from everybody, regardless of your background, identity, or life experiences. Job openings come with guides, not checklists. If you’re excited about a role, but don’t identify with every point in the ‘About you’ section, apply anyway – you might still be the perfect match!

The annual gross salary range for this position excluding 8% holiday pay is: