Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Dusseldorf
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop a system that handles ambiguous user intents, analyzes millions of hotels, ranks results, and achieves data-driven business goals in production.
Job Technologies
Your role in the team
- In this role, you will be building a system that handles ambiguous user intent, retrieves the right candidates from millions of hotels, ranks them accurately, and moves measurable business outcomes in production.
- You will work across three interconnected problem spaces: Query & Intent Understanding, Retrieval & Ranking, and Two-Sided Marketplace.
- Own components end-to-end - from problem framing through to production deployment and business impact.
- Build and improve query understanding - intent classification, named entity recognition, slot filling, and semantic interpretation across 35+ languages.
- Design retrieval systems - candidate generation, dense and hybrid retrieval, and the recall-versus-latency trade-off at query time.
- Develop ranking and personalisation models - from training data construction and debiasing through to A/B testing and conversion impact - using both short-term in-session signals and long-term user behaviour.
- Apply and fine-tune language models where they improve the system - result explanation, query rewriting, and agentic approaches for complex and underspecified queries - with clear judgment on latency, cost, and quality trade-offs.
- Design offline and online evaluation frameworks - relevance judgement pipelines, cold-start evaluation, and retrieval and ranking quality metrics.
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Our expectations of you
Qualifications
- Solid foundation in experimentation - A/B test design, bias awareness, guardrail metrics, and connecting offline quality to online business outcomes.
- Strong Python and SQL; hands-on with PyTorch or HuggingFace; familiarity with vector search infrastructure, cloud ML pipelines (Vertex AI, Airflow), and GCP.
- Clear communicator, entrepreneurial drive, collaborative mentor, and motivation to make progress in ambiguous problem spaces.
- Outcome-driven: you care about the business impact of your work, not only the sophistication of the model or methodology.
- Hands-on, outcome driven and analytically rigorous - you take ownership end to end, build with quality in mind, and bring academic or professional rigour into real production environments.
- A learning and performance mindset - you set ambitious goals, seek feedback, stay curious, and actively explore how AI tools can enhance your work.
Experience
- 5+ Jahre Erfahrung im Aufbau und Einsatz von Such-, Ranking- oder Empfehlungssystemen in der Produktion - Master-Abschluss oder PhD bevorzugt, oder gleichwertige nachgewiesene Expertise.
- Deep theoretical knowledge and hands-on experience in at least one of: Learning-to-Rank, retrieval and candidate generation, query understanding and NLP, two-tower architectures, or personalisation - and working knowledge of the others.
- Experience fine-tuning and distilling transformer models for production - building efficient solutions optimised for real-world scale and latency.
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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.
- 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.
- 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.
- 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.
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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 - AI Search & Ranking
- Location
- Dusseldorf
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
