Data Scientist - Content

When travelers are searching for a hotel, we want the obvious choice to be trivago! Our leading metasearch engine is super fast and constantly optimized - enabling millions of travelers to compare hotel prices from hundreds of booking sites and find great deals in just a few clicks. We use cutting-edge technology, real-time auction, and machine learning techniques with petabytes of data to create an experience - time and money saved! In the lively city of Düsseldorf, we seize opportunities to learn everyday, innovate, and make an enduring mark on the travel industry. At trivago you will find those who aren't afraid of change but rather embrace it, turning every challenge into a pathway for growth. Join trivago, work with a great team, and grow with us!Join us in making a differenceOur Content Data Science team builds innovative solutions that make hotel discovery engaging for millions of travelers worldwide, helping them make fast and informed decisions on where to stay. As a Data Scientist in the Visual & AI Content team, you'll leverage your expertise in NLP and large language models to transform how travelers discover and understand hotel content.This is your opportunity to apply cutting-edge AI techniques to real-world challenges at scale, directly shaping the travel experience of millions. You'll work with state-of-the-art language technologies alongside talented engineers, product managers, and designers who share your passion for data-driven innovation. trivago is a place where ambition and genuine support go hand in hand — we hold high standards and invest in each other's growth. If mastering complex data interpretation and driving product strategy through advanced machine learning excites you, we'd love to have you join our team!How you'll make an impact:Develop and deploy end-to-end machine learning solutions using NLP and text generation techniques to optimize hotel content and enhance the user experience.Analyze data to unearth hidden patterns in user behavior and text performance, translating findings into actionable insights that inform business strategy.Build and leverage large language models and foundation models for text understanding, automated summary generation, and content optimization at scale.Apply advanced machine learning techniques — including predictive modelling, statistical modelling, and deep learning — to solve complex content challenges with moderate supervision.Drive data-driven decision-making through experimental design, A/B testing, and performance monitoring of deployed solutions.Collaborate cross-functionally with product, engineering, and design teams to implement scalable, production-ready solutions aligned with business priorities.What you'll need to thrive:An advanced degree (MSc or PhD) in machine learning, computer science, statistics, or a related quantitative field, with 3+ years of practical experience deploying ML algorithms in production environments.Deep expertise in Python, SQL, and cloud computing, paired with a strong background in NLP/NLG, large language models, and foundation models for text processing.Proven ability to design and execute experiments, apply statistical methods, and translate complex analytical findings into clear, actionable business impact.Solid foundation in experimentation — A/B test design, bias awareness, guardrail metrics, and connecting offline quality to online business outcomesA genuine learning mindset — you approach challenges with curiosity, seek out feedback, and continuously look for ways to develop and grow.A performance mindset — you set ambitious goals for yourself and have the determination and resilience to follow through and achieve them.You see AI as a force multiplier for how data science and analytics can operate at scale — you explore how it can enhance your work, engage with it thoughtfully and with the right guardrails, and are genuinely excited to grow alongside evolving technologies.Not ticking every box? We still want to hear from you. Apply, tell us what motivates you, and you could be a great match—now or in the future. Your application does not need to include a photo. This is the recruitment process that you can expect for this role (subject to modifications):Hireflix: One-way video interviewFirst call with recruiter /HMTechnical interview with team + live case studyInterview with stakeholdersWant to know more about life at trivago? Check out what our colleagues say on kununu and Glassdoor.What you can look forward to:At trivago, you'll work with petabytes of real travel data, modern ML infrastructure, and a team that values technical depth and continuous learning — here's what else you can expect:Real scale, real ownership.You'll work with petabytes of live travel data in production systems — and because our teams are lean, your scope is meaningful from day one.Work that sits at the core of the product.DS&A at trivago is not a support function: your models and analyses directly shape the marketplace outcomes that matter to travelers and to the business.Measured on impact, not sophistication.You own your work end-to-end and are evaluated on the outcomes you drive — not on the complexity of the methodology behind them.As you grow, so do we.This is why at trivago, we prioritize your development, offer personalized coaching through Nilo, and provide workshops, educational meetups, conferences, free online learning courses, and access to a fully-equipped campus library.Moving to join us?No problem. You can count on the visa support from our talent support team, a relocation package, interest-free newcomer loan, free language classes, regular team and many company-wide events to build experiences together.Life happens.We offer self-determined vacation (with a minimum of 25 vacation days), flexible working hours, up to 2 work from home days weekly. Additionally you can work remotely from a different location, within Germany or selected countries abroad for up to 20 days per year. You also get free access to the Heycare platform for personalized nanny assistance, and an on-campus kids room.Enjoy your office days.Use your daily canteen budget to share lunch with colleagues in our canteen, help yourself to complimentary snacks and drinks in our kitchens, choose from a variety of fitness options with our on-site gym, sports classes, and Urban Sports Club membership, and enjoy the comfort of ergonomic desks and focused work areas.Thank you for considering a career at trivago! Our commitment to fostering an inclusive and enriching environment for all talents is at the heart of what we do. We understand that embarking on a new job opportunity is a blend of excitement and curiosity. Should any questions arise before you apply, feel free to reach out to us at [email protected]. Join us in our mission to make a positive impact on global travel, we look forward to your application!#LI-Hybrid