Requirements

Define, develop, and fully own data products that drive measurable revenue impact across all GDP domains.
Translate growth strategies into technical roadmaps, aligning multiple squads and stakeholders around clear, measurable business outcomes.
Design, deploy, and monitor production machine learning pipelines in Python and Databricks to support bidding, targeting, and personalization use cases.
Raise the technical standard by introducing best practices, code quality standards, and robust observability within the data science and engineering teams.
Champion a culture of experimentation through A/B test design, causal-inference analysis, and frameworks for rapid iteration.
Advance customer lifetime value and attribution models that guide multi-million euro marketing investments.
Drive cross-functional collaboration to ensure data products deliver tangible business value and strategic impact.

Your toolkit

Proven track record as a Staff or Principal Data Scientist (or equivalent) delivering cross-functional products that deliver significant business value.
Market and growth experience is essential, with strong domain knowledge in marketing analytics, customer acquisition, or revenue optimization.
Mastery of Python, SQL, and modern big-data tools such as Spark and Databricks, with comfort in shipping production-grade machine learning services.
Deep expertise in statistical testing, causal inference, and online experimentation frameworks.
Hands-on experience in marketing growth areas like paid search, CRM, or attribution modeling.
Advanced degree in a quantitative field (such as Statistics, Computer Science, Mathematics, Economics, or Physics) or equivalent practical experience.
Strong communication skills that enable you to influence both technical and non-technical audiences across the organization.

Experience with cloud orchestration and CI/CD technologies such as AWS, Airflow, or Kubernetes.
Familiarity with Snowflake, MLflow, or large-scale feature-store architectures.
A record of mentoring senior individual contributors and fostering a culture of psychological safety across teams.
Publications or conference presentations on topics like large language models, agentic AI systems, or marketing technology innovation.

Annual personal growth budget and mentorship programs for continuous learning and development
Work from anywhere in the world for 30 days per year
A hybrid working approach with three days of in-office collaboration (Mon, Tue, Thur) and two days of optional at-home focus time.
Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
Monthly transportation and fitness budget
Discounts for you, your friends, and family on GetYourGuide activities
Language reimbursement program
Health and wellness benefits