Data Scientist - Content

About trivago

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.

Responsibilities

• Develop end-to-end ML solutions focusing on NLP and text generation for hotel content optimization
• Leverage state-of-the-art AI models including LLMs and foundation models for text understanding and automated summary generation
• Drive data-driven decisions through analysis of text performance and user behavior, translating findings into actionable insights
• Collaborate cross-functionally with product and engineering teams to implement scalable solutions aligned with business priorities
• Monitor and optimize deployed solutions through A/B testing and performance analysis
• Communicate results effectively to both technical and non-technical stakeholders

Requirements

• 5+ years practical experience in data science, machine learning, or applied science roles
• Advanced academic background (MSc or PhD) in machine learning, economics, statistics, or related fields, with a solid understanding of software engineering
• Deep statistical knowledge and experience with experimental design
• Entrepreneurial mindset with ability to thrive in fast-paced environments, balancing cutting-edge research with pragmatic real-world impact
• Proven 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 stakeholders
• Technical expertise in Python, SQL, and Cloud computing services

Benefits

• Personal growth and development opportunities
• Visa support, relocation package, interest-free newcomer loan
• Flexible working hours, remote work options, self-determined vacation
• Childcare support and on-campus kids room
• Complimentary meals, snacks, and access to on-site gym