Data Scientist

Change the way the world travels

Be part of the GetYourGuide journey and connect people with unforgettable travel experiences worldwide. Since 2009, millions of travelers have booked unique activities with us in over 12,000 cities. Our headquarters in Berlin is supported by 16 other local offices across the globe. 

Ready to join a diverse community of over 850 fellow explorers dedicated to revolutionizing the travel experience industry? Check out our careers site to learn more.

Team mission

At the Central Data Products team, our mission is to build, operate, and drive adoption of horizontal data products that empower multiple clusters across GetYourGuide.

We are a horizontal team within central services, and our products are pivotal to the entire flywheel: Consumer, Growth, and Supply. We own the systems that decide how our marketplace is understood and organized: location and travel category tagging that powers landing pages, the landing page eligibility framework that unlocks marketing efficiency at scale, destination maps and travel-relevance models that steer supply acquisition into untapped markets, and the Customer Lifetime Value model that shifts the company from short-term revenue optimization to long-term customer value. Many of these systems are LLM-based and running in production today.

As a Senior Data Scientist at GetYourGuide, you’ll be a key part of an inclusive, high-impact team working closely with Data Scientists, MLOps Engineers, and business stakeholders to shape how we use AI across the marketplace. You’ll have the opportunity to work with millions of images, collaborating with our VISOP Team, using ML/AI model to enhance image quality, relevance and compliance. If you’re motivated by research-oriented work that builds long-term foundations— plus real impact at scale —this role is for you.

Your mission:

• Develop innovative data products that not only enable suppliers to delight our customers but also drive the success of our company.

• Take full ownership of projects, guiding them from the initial business challenge to the deployment of production code. This includes:

• Analyzing large datasets to uncover meaningful insights

• Building and maintaining robust data pipelines

• Establishing rigorous evaluation and monitoring strategies, as well as in-production guardrails. Monitoring and optimizing data products after deployment

• Contribute to the development of our machine learning infrastructure and help establish best practices that will shape our future.