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About the Role

As a Decision Scientist at Vinted, you will empower members to lead more sustainable lives by leveraging data to drive impactful decision-making, shaping our product and business strategy. You will join the Marketing domain to guide high-stakes decisions across channels and markets, focusing on data-driven media investment through modelling and testing.

Responsibilities

• Improve Marketing Intelligence by leading the development of attribution modelling, Media Mix Models (MMM), and member engagement marketing measurement.
• Guide investment decisions by providing data-driven input to high-stakes decisions across channels and markets.
• Validate strategic bets by identifying growth opportunities and answering critical business questions through rigorous testing and analysis.
• Scale decision-making by designing and deploying automated data products and self-service tools.
• Champion data excellence by overseeing key performance indicators and promoting analytics best practices.

Requirements

• Strong foundational experience (4-8 years) in data science, analytics, or a similar field.
• Experience in marketing analytics and measurement is a great benefit, but not a must.
• A strategic mindset connecting scientific findings to pragmatic business solutions.
• Comfortable with ambiguity, able to define the right problem and approach.
• Great communicator skilled at influencing stakeholders and presenting complex results.
• Proficient in Python and SQL.
• Hands-on experience using dbt and BI tools (like Looker or Tableau).
• Deep knowledge of data science principles, including statistical modelling, regression analysis, and causal inference.
• Excellent written and spoken English.
• Previous experience with Media Mix Modelling (MMM), advanced attribution methods, CRM analytics, and Bayesian statistics is an advantage.

Skills

• Python
• SQL
• dbt
• BI tools (Looker or Tableau)
• Statistical modelling
• Regression analysis
• Causal inference
• Media Mix Modelling (MMM)
• Attribution modelling
• Bayesian statistics

Location

• Vilnius

Work Type

• Hybrid

Experience Level

• 4-8 years

Education Level

• Graduate degree in Data Science, Statistics, Math, Economics, Econometrics or a related quantitative field.

Salary/Compensations

• €74.000—€100.100 EUR

Benefits

• Share options programme
• 30 days of paid annual leave
• Newest MacBook models
• Confidential Employee Assistance Program (EAP)
• Home office support (IT workstation equipment and a personal budget of up to €540)
• Lunch benefit per workday
• Frequent team-building events
• 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
• Subsidised Deutschlandticket for public transport
• Opportunity to spend up to 90 days per year on workation (21 days outside the EU)
• Dog-friendly office
• Individual Learning Budget

About the Company

• Vinted's mission is to make second-hand the first choice.
• Vinted Marketplace is Europe’s leading platform for second-hand fashion.
• Vinted Go enhances the shipping experience with a vast network of pick-up and drop-off points.
• Vinted Pay provides secure, reliable payments for buyers and sellers.
• Founded in 2008 in Lithuania, Vinted became Lithuania's first unicorn in 2019.
• Headquartered in Vilnius with offices across Europe and 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.
• 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.