Senior Data Scientist, Central Data Products

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.

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 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, destination maps and travel-relevance models, and the Customer Lifetime Value model. 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.

Your Mission

• Develop innovative data products that enable suppliers to delight our customers and drive the success of our company
• Take full ownership of projects, guiding them from the initial business challenge to the deployment of production code, including analyzing large datasets, building and maintaining robust data pipelines, and establishing rigorous evaluation and monitoring strategies
• Contribute to the development of our machine learning infrastructure and help establish best practices
• Work closely with cross-functional technology and business teams to solve complex and exciting problems
• Support the continuous improvement and growth of our team, including participating in recruiting efforts

Your Toolkit

• Machine Learning: 5+ years of experience deploying ML models in production with a solid understanding of ML techniques
• Analytics: Ability to turn data into actionable insights, experience with hypothesis testing, proficiency in pandas/polars and SQL/Spark
• Experience with LLMs and Agentic AI: prompt design, tool use, orchestration (e.g., LangChain), retrieval/RAG, evaluator design, guardrails, and tracing/observability is a plus
• Software Engineering: proficiency in Python, knowledge of distributed machine learning and computing frameworks (e.g., Spark) is beneficial
• Business Acumen and strong communication skills for explaining complex concepts to both technical and non-technical stakeholders
• An advanced degree in a quantitative field or equivalent practical experience

How We'll Make Your Career Journey Extraordinary

• Annual personal growth budget and mentorship programs
• Work from anywhere in the world for 30 days per year
• A hybrid working approach with three days of in-office collaboration
• Quarterly team events and yearly company-wide events
• Monthly transportation and fitness budget, and health and wellness benefits