Staff Data Scientist, Growth Data Products

Change the way the world travels

Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust and its all powered by our commitment to make every single journey extraordinary - including yours!

Ready to unlock your potential with a community of fellow explorers Find your next role at our Berlin HQ or one of our local offices around the globe from New York to Bangkok. Head to take the first step.

Team mission

Growth Data Products (GDP) drives GetYourGuides growth engine by transforming raw marketing data into reliable self-service insights and automated decision systems. Our work spans every growth channelPaid and Organic Search Display Advertising CRM and Lifecycle Marketing Brand Marketing Marketing Attribution Experimentation and Customer Lifetime Value measurement. We empower teams across the organization to make faster smarter decisions at scale turning data into actionable intelligence that fuels our mission to connect millions with unforgettable travel experiences.

Your mission

• 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.

Extras that give you an edge

• 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.

How well make your career journey extraordinary

• 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

And more

How to apply

Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture check out how we hire and life at GetYourGuide. If you have any further questions please dont hesitate to get in touch at .

Were an equal opportunities employer

Our commitment is that every qualified person will be evaluated according to their skills regardless of age gender identity ethnicity sexual orientation disability status or religion. Please refrain from including your picture and age with your application.

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