Job
- Level
- Senior
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Düsseldorf
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du ein System zur Verarbeitung ambivalenter Nutzerabsichten, das Millionen von Hotels analysiert, Ergebnisse rankt und datenbasierte Geschäftsziele in der Produktion erreicht.
Job Technologien
Deine Rolle im 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.
Unsere Erwartungen an dich
Qualifikationen
- 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.
Erfahrung
- 5+ years building and shipping search, ranking, or recommendation systems in production - Master's or PhD preferred, or equivalent demonstrated 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.
Unser Angebot
- 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.
Benefits
Gesundheit, Fitness & Fun
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
trivago GmbH
Die trivago Hotel Relations GmbH ist eine unabhängige Tochtergesellschaft der trivago N.V., die 2017 in Düsseldorf gegründet wurde. Ziel der Gesellschaft ist es, Hoteliers auf der ganzen Welt dabei zu unterstützen, online erfolgreich zu sein und mehr Direktbuchungen zu generieren, indem sie sich im schnelllebigen Metasuchumfeld technologisch weiterentwickeln.
Description
- Sprachen
- Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom, Gastgewerbe, Tourismus
Data Scientist - AI Search & Ranking
- Ort
- Düsseldorf
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
