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Senior Data Scientist, Growth Data Products

GetYourGuideBerlinSalário a combinarTempo integral

Descrição

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 Growth Data Products (GDP) drives GetYourGuide's growth engine by transforming raw marketing data into reliable, self-service insights and automated decision systems. Our work spans every growth channel—Paid 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. As a valued member of our inclusive and dynamic team, you will collaborate closely with fellow Data Scientists, MLOps Engineers, and business stakeholders continuously innovating to enhance the quality of our marketplace catalog. Together, we strive to make every travel experience unforgettable. 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. Work closely with cross-functional technology and business teams, leveraging your unique perspective to solve complex and exciting problems. Support the c ontinuous improvement and growth of our team, including participating in recruiting efforts to bring in new talent. Your toolkit: Machine Learning. You have 5+ years of experience deploying ML models in production coupled with a solid understanding of ML techniques and their practical applications. Experience deploying and maintaining ML models in production is a must. Analytics.

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Publicado 07/07/2026
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