Senior Data Scientist: Marketing MMM & Data-Driven Growth

Vinted group.

Amsterdam

Hybrid

EUR 100,000 - 150,000

Full time

36 hours ago
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Benefits offered by this job

Share options programme
25 days paid annual leave
Home office budget €540 for furniture
Company bike leasing

Job summary

Vinted Group is expanding its Marketing Data Science and Analytics team in Amsterdam. We seek a Senior Data Scientist to build, refine, and scale core predictive and explanatory models, including Bayesian MMMs and value-focused ML solutions.

You will lead model development, validation, and deployment, connecting outputs to strategic marketing decisions. A Master’s or PhD in a quantitative field is preferred, with a focus on robust, production-grade data science.

Qualifications

  • Advanced statistics, econometrics or time-series modelling in practice.
  • Experience in marketing measurement or MMM is a plus.
  • Proficient Python, building modular, reusable data pipelines.
  • Ability to translate model outputs into business decisions.
  • Master’s or PhD in quantitative field.

Responsibilities

  • Evolve MMMs and ROI frameworks to deliver precise insights.
  • Build and maintain econometric models for marketing impact.
  • Automate model validation and health monitoring.
  • Develop self-healing AI capabilities for scalable models.
  • Partner with decision scientists and leadership to drive decisions.
  • Ensure code quality, validation, reproducibility in DS practices.

Skills

Python
Statistics
Econometrics
Time-series
PyMC
Data products

Education

Master’s or PhD in quantitative field

Tools

PyMC

Job description

Vinted Group is expanding its Marketing Data Science and Analytics team in Amsterdam. We seek a Senior Data Scientist to build, refine, and scale core predictive and explanatory models, including Bayesian MMMs and value-focused ML solutions.

You will lead model development, validation, and deployment, connecting outputs to strategic marketing decisions. A Master’s or PhD in a quantitative field is preferred, with a focus on robust, production-grade data science.

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