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 differenceAre you passionate about leveraging AI to enhance user experiences? Our Content Data Science team (working with visual, textual and structured content) focuses on innovative solutions that make hotel selection engaging for millions of users worldwide, helping them make fast and informed decisions on where to stay. As a Data Scientist in the Accommodation Profile team, you’ll apply NLP and large language models to optimize our content strategy and drive business impact by creating compelling summaries from textual and structured data. If you’re excited about combining cutting-edge language technology with meaningful business outcomes in travel search, we’d love to have you join our team!Get an inside look at data science at trivago:How you’ll make an impact:Develop end-to-end ML solutions focusing on NLP and text generation for hotel content optimizationLeverage state-of-the-art AI models including LLMs and foundation models for text understanding and automated summary generationDrive data-driven decisions through analysis of text performance and user behavior, translating findings into actionable insightsCollaborate cross-functionally with product and engineering teams to implement scalable solutions aligned with business prioritiesMonitor and optimize deployed solutions through A/B testing and performance analysisCommunicate results effectively to both technical and non-technical stakeholdersWhat you’ll need to thrive:5+ years’ practical experience in data science, machine learning, or applied science rolesAdvanced academic background (MSc or PhD) in machine learning, economics, statistics, or related fields, with a solid understanding of software engineeringDeep statistical knowledge and experience with experimental designEntrepreneurial mindset with ability to thrive in fast-paced environments, balancing cutting-edge research with pragmatic real-world impactProven experience developing and deploying ML algorithms in production environments at scale, driving business impact.Strong communication skills to present findings and collaborate effectively with technical and non-technical stakeholdersTechnical expertise in Python, SQL, and Cloud computing servicesStand out with:Strong NLP/NLG background including modern AI architectures, large language models, and foundation models for text summarizationProven experience developing and deploying NLP algorithms in production environments at scaleWorried about missing a few requirements? Still apply, and express your motivation as you may just be the right candidate for this or other roles!Recruiting process for this role:Introduction Call with team leadCase StudyTechnical Interview with case study presentationInterview with StakeholdersWhat you can look forward to:This is why at trivago, we prioritize your development, offer personalized coaching through Likeminded, 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 company-wide events to build experiences together.Life happens.We offer self-determined vacation (with a minimum of 25 vacation days), flexible working hours, 2 WFH days weekly, the chance to work remotely for 20 days abroad, free access to the Heynanny 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, stay healthy with our on-site gym and sports classes, 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 joinus@trivago.com. Join us in our mission to make a positive impact on global travel, we look forward to your application! #J-18808-Ljbffr