Job
- Level
- Experienced
- Location
- Dusseldorf
- Working Model
- Hybrid, Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you develop and deploy machine learning solutions to optimize hotel content. You analyze user data, identify patterns, and strategically apply insights to inform business strategies.
Job Technologies
Your role in the team
- 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.
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Our expectations of you
Education
- 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.
Qualifications
- 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 outcomes.
- A 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.
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What we offer
- At trivago, you'll work with petabytes of real travel data, modern ML infrastructure, and a team that values technical depth and continuous learning.
- 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.
- 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.
- You own your work end-to-end and are evaluated on the outcomes you drive - not on the complexity of the methodology behind them.
- 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.
- 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.
- 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.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
trivago GmbH
The trivago Hotel Relations GmbH is an independent subsidiary of the trivago N.V., founded in 2017 in Düsseldorf. The company's goal is to help hoteliers around the world be successful online and generate more direct bookings by keeping up with the latest technology trends.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication, Hotel and Restaurant Industry, Tourism
Data Scientist - Content
- Location
- Dusseldorf
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
