Senior Data Scientist, Marketing DSA

In this role, you will drive data-driven marketing insights by building and operationalizing advanced models, notably Bayesian Media Mix Models (MMM) and ROI frameworks. You’ll be the technical engine behind measuring marketing impact, guiding multi-channel growth, and ensuring model reliability at scale. Collaborating with Decision Scientists and Marketing Leadership, you will translate complex outputs into strategic actions. This is an opportunity to shape data products that power Vinted’s expansion and mission to make second-hand the first choice.

• share options programme
• 25 days of paid annual leave
• Newest MacBook models
• Confidential Employee Assistance Program (EAP)
• Annual learning budget
• Hybrid Work

• Evolve Bayesian MMMs and ROI frameworks to deliver precise business insights
• Build and maintain econometric and statistical models (MMM, GMV, engagement) to quantify marketing impact
• Automate model validation and health monitoring to ensure long-term accuracy
• Develop next-gen automated capabilities (e.g., self-healing MMMs) using AI and automation
• Partner with Decision Scientists & Marketing Leadership to connect model outputs to business decisions
• Champion modelling excellence with high code quality, validation, and reproducibility

• Hands-on data science experience in advanced statistics, econometrics, or time-series modelling
• Experience or strong interest in marketing measurement/MMM
• Theoretical knowledge of statistics, causal inference, and regression; familiarity with probabilistic programming (PyMC) is a major plus
• Production-grade Python skills; ability to design modular, reusable data pipelines
• Ability to translate technical concepts into business impact and communicate to technical and leadership audiences
• Master’s or PhD in a quantitative field (e.g., Statistics, Econometrics, Mathematics, Data Science)
• Strong storytelling and presentation skills enabling strategic business discussions

• strong communication and storytelling
• collaborative mindset across cross-functional teams
• ability to explain complex concepts clearly to non-technical stakeholders
• Python proficiency
• Bayesian modelling (MMM)
• Econometrics and time-series analysis