Data Science Manager, Supply

GetYourGuide
BerlinPosted 30 March 2026

Job Description

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 it’s 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 getyourguide.careers to take the first step. Team mission The Supply Data Products team is on a mission to empower activity providers to deliver unforgettable and seamless experiences to GetYourGuide's customers at scale. We build AI and ML systems that curate a trusted, high-quality catalog, enhance content with LLM-powered generation, structuring, and evaluation, and proactively scout high-value inventory to grow the marketplace in partnership with tech and business teams. Our work sits at the forefront of innovation, shaping every strategic aspect of the supply side of our marketplace; from streamlining supplier onboarding to enriching catalog content and improving pricing and demand forecasting. We help activity providers succeed on GetYourGuide by making the marketplace smarter, more trusted, and easier to operate at scale. Your mission Shape the technical vision for AI/ML across GetYourGuide's supply domain and own a roadmap for the systems we build, from problem framing to system design, evaluation, and production standards Lead a team of Data Scientists and MLOps Engineers building the intelligent systems that power the supply side of GetYourGuide's marketplace Partner closely with Product, Engineering, and Business stakeholders to identify high-leverage opportunities and turn them into production-grade AI/ML solutions Act as a true thought partner to both Product and Business, turning ambiguous asks into bold domain-level bets that ensure GetYourGuide's success Create an environment where talented people are engaged, supported, and growing, with high standards, healthy team dynamics, and strong ownership Bring high-impact AI systems to life in production at pace, balancing speed with sound judgement while keeping the bar high on quality, reliability, and customer trust Combine deep technical expertise, particularly in LLMs and production AI/ML systems, with strong people leadership to shape the strategy, execution, and impact of data science across the supply domain Your toolkit Proven experience managing high-performing Data Science and MLOps teams, helping people grow while delivering measurable impact A strong record of hands-on experience in data science, machine learning, or related fields, including production ML systems in medium-to-large, fast-paced organisations Experience leading the design and delivery of customer-facing AI/LLM systems in production, ideally with experience in evaluations, guardrails, prompt engineering, and agentic workflows Obsessed with understanding customer problems and able to be a true sparring partner to your Product Manager, co-owning problem framing and solution design Proven experience driving initiatives across multiple teams in large organisations and navigating complex stakeholder landscapes Excellent written and verbal communication in English, with the ability to translate complex technical work for technical and non-technical audiences Extras that give you an edge Experience on the supply (B2B) side of a marketplace, whether that's pricing, demand forecasting, catalog quality, or inventory optimisation How we’ll make your career journey extraordinary We want this to be a place you genuinely want to stay and grow. Here's what that looks like in practice: 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, T ... (truncated, view full listing at source)
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