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!
Data Scientist - Content
Düsseldorf | R0003952
Are 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!
How you’ll make an impact:
- 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
What you'll need to thrive:
- 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
Stand out with:
- Strong NLP/NLG background including modern AI architectures, large language models, and foundation models for text summarization
- Proven experience developing and deploying NLP algorithms in production environments at scale
Recruiting process for this role:
- Video introduction
- Introduction Call with team lead
- Case Study
- Technical Interview with case study presentation
- Interview with Stakeholders
