Manager of Data Science & Analytics, Marketing

Vinted; Amsterdam; Hybrid; EUR 86,600 - 117,200; Full time

Benefits offered by this job

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25 days annual leave

Newest MacBook models

EAP for you and family

Frequent team-building events

Home office budget €540 for furniture

Lunch benefit per working day

Discounted gym membership

Personal budget for shopping on Vinted

Pension plan

NS Business Card for commute

Workation up to 90 days/year

Dog-friendly office

Job summary

Vinted is seeking a Manager for the Marketing Data Science and Analytics team to lead data scientists and decision scientists. You will shape attribution, media mix, and LTV modelling, while advancing AI-enabled scalable analyses. You will partner with Growth, Brand, and Member Engagement Marketing to convert insights into budget decisions.

The role emphasizes leadership, quantitative rigor, and communication to senior stakeholders in a fast-paced environment.

Qualifications

• Quantitative background in data science, statistics, economics, maths or computer science.
• Several years in a quantitative or analytics role, including leadership experience.
• Ability to explain complex stats to senior non-technical stakeholders.
• Experience with causal inference methods (e.g., CausalImpact, synthetic controls).
• Comfort with Python, SQL, GCP/BigQuery and Looker to review work, not necessarily build it.

Responsibilities

• Lead the Marketing Data Science and Analytics team (4–6 members) including hiring, mentoring and performance reviews.
• Own measurement strategy: attribution, media-mix, lifetime value modelling and long-term effect measurement.
• Build scalable, self-service measurement using modern AI tools to speed up development.
• Contribute hands-on on high-impact projects when needed while guiding others.
• Collaborate with Growth, Brand, and Member Engagement Marketing to translate data into actionable budget decisions.

Skills

Data science

Statistics

Economics

Mathematics

Computer science

Tools

Python

SQL

GCP/BigQuery

Looker

Job description

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.

Position Overview

Backed by significant and increasing investments, Marketing is the primary driver of our platform’s growth, accelerating our progress toward Vinted’s mission of making second‑hand the first choice worldwide.
As a Manager within the Marketing Data Science and Analytics team, you’ll lead a team of Data Scientists and Decision Scientists. You will help improve our in‑house measurement framework covering attribution, media‑mix, lifetime value modelling, experimentation and advanced long‑term effect measurement. The problems are technically complex, and they directly inform decisions on how we spend our marketing budget.
Alongside the measurement framework, you will ensure the scalability of our models and analytics with a strong focus on using AI to speed up development and improve quality.
You’ll report to the domain’s Director of Data Science & Analytics, who’ll support your technical and leadership growth.

Responsibilities

• Lead the team: manage, mentor and grow 4‑6 Decision Scientists and Data Scientists, covering planning, onboarding, career development, performance reviews, and feedback culture.
• Own measurement strategy: lead improvements to attribution, media‑mix, lifetime value modelling and long‑term effect measurement.
• Build for scale: make advanced measurement repeatable and self‑service, using modern AI tools to help the team build better models and work faster.
• Stay close to the work: dedicate part of your time to our most complex, high‑impact projects, both as a sparring partner and hands‑on where needed.
• Work cross‑functionally: partner with Growth Marketing, Brand Marketing, Member Engagement Marketing and Marketing Data Science & Analytics to turn data and models into actions and budget decisions.

About You

• Curious, with a strong drive to learn and improve.
• Collaborative, open to feedback, and comfortable giving it directly.
• Comfortable in a fast‑paced environment and able to prioritise with limited resources.
• Quantitative background – Data Science, Statistics, Economics, Maths, Computer Science or similar.
• Enough technical depth to challenge and act as a strong sparring partner for senior ICs on measurement and causal inference – comfortable enough with our stack (Python, SQL, GCP/BigQuery, Looker) to follow and question the work, not necessarily build it yourself.
• Experience with causal inference methods (e.g. CausalImpact, synthetic controls, matching).
• Good understanding of statistics and statistical modelling.
• Several years in a quantitative or analytics role, including experience leading or managing a team.
• Able to explain complex statistical concepts clearly to senior, non‑technical stakeholders.
• Clear written and verbal communicator.
• Bonus: Experience with Marketing Analytics, Media Mix Modelling and Bayesian Statistics.

Work Perks

• The opportunity to benefit from our share options programme
• 25 days of paid annual leave
• Newest MacBook models
• 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
• Lunch benefit per working day
• Access to a discounted gym membership plan
• 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
• 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.

Annual gross salary range: €86,600—€117,200 EUR