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About the Role

As a Manager within the Marketing Data Science and Analytics team, you will lead a team of Data Scientists and Decision Scientists to improve our in-house measurement framework covering attribution, media-mix, lifetime value modelling, experimentation, and advanced long-term effect measurement. You will ensure the scalability of our models and analytics with a strong focus on using AI to speed up development and improve quality.

Responsibilities

Lead the team: manage, mentor and grow 4-6 Decision Scientists and Data Scientists, covering planning, onboarding, career development, performance reviews (PGIC) 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.

Requirements

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.

Skills

Python
SQL
GCP/BigQuery
Looker
Marketing Analytics
Media Mix Modelling
Bayesian Statistics

Location

Vilnius

Work Type

Hybrid

Experience Level

Manager
Several years in a quantitative or analytics role
Experience leading or managing a team

Education Level

Data Science
Statistics
Economics
Maths
Computer Science

Salary/Compensations

€90.100—€121.900 EUR

Benefits

Share options programme
30 days of paid annual leave
Newest MacBook models
Confidential Employee Assistance Program (EAP) for you and your family
Home office support: IT workstation equipment and a personal budget of up to €540 for home workplace furniture
Lunch benefit per your workday
Frequent team-building events
A personal monthly budget for shopping on Vinted
Access to a discounted gym membership plan
Pension Plan with Vinted matching 150% of your chosen contribution
Supplemental Private Health Insurance
Life and Disability insurance
A subsidised Deutschlandticket 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: annual learning budget to support personal and career development through courses, certifications, workshops and more.

About the Company

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, Vinted Go, and Vinted Pay.
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.

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.