Data Scientist - AI Search & Ranking at trivago
May no longer be active — verify on the employer site
trivago posted this role again on 2026-11-04; this is an older listing. See the newer listing
At a glance
- Company
- trivago
- Location
- Germany
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this trivago job
- 🏢 trivago has 12 jobs here, 12 with visa sponsorship see all
- 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
- 💡 No salary shown. Ask trivago if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
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About the role
Responsibilities:
- Own end-to-end components of search, retrieval and ranking pipelines from problem framing to production and business impact.
- Build query understanding systems (intent classification, NER, slot filling) across 35+ languages to handle ambiguous user input.
- Design retrieval and ranking layers: candidate generation, neural reranking, vector search, and latency/recall trade-offs.
- Address data bias in behavioral signals, personalise results using session and long-term signals, and balance commercial value with relevance.
- Run experiments (A/B tests), monitor live metrics and iterate to close the gap between offline and online performance.
- Collaborate with engineers, product and analytics to deploy and maintain models at scale under latency constraints.
Requirements:
- 5+ years building and shipping search or recommendation systems in production.
- Strong Python and SQL skills; experience with deep learning frameworks (PyTorch) and HuggingFace/transformers.
- Solid knowledge of IR techniques, learning-to-rank, vector search and multilingual NLP.
- Experience with experimentation (A/B testing), production deployment and measuring business KPIs.
- Familiarity with GCP/Vertex AI, Airflow and system design for low-latency, large-scale services.
Responsibilities
You will build and optimize search, ranking, and personalization systems to handle complex user intent across 35+ languages. This involves end-to-end ownership of models from problem framing to production deployment and measuring business outcomes.
Requirements
Candidates must have 5+ years of experience building and shipping search or recommendation systems in production. Proficiency in Python, SQL, and deep learning frameworks like PyTorch is required, along with a strong foundation in experimentation and NLP.
Key skills
- Python — in 1200 other listings on The Stack
- SQL — in 545 other listings on The Stack
- PyTorch — in 92 other listings on The Stack
- HuggingFace — in 4 other listings on The Stack
- Machine Learning — in 291 other listings on The Stack
- Natural Language Processing — in 19 other listings on The Stack
- Learning-to-Rank — in 3 other listings on The Stack
- Retrieval Systems — in 2 other listings on The Stack
- Transformer Models
- A/B Testing
- Vector Search
- GCP
- Vertex AI
- Airflow
- Data Bias Awareness
- System Design
On The Stack (as of 2026-11-05)
Frequently asked questions about trivago
Is this Data Scientist - AI Search & Ranking role still open?
It was posted on 2026-08-07. Listings more than 30 days old may no longer be active, so check trivago's site before applying.
Does trivago offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on trivago's site.
Where is this role located?
The listing gives the location as Germany. It is marked on-site.
What skills does this role ask for?
The listing names: Python, SQL, PyTorch, HuggingFace, Machine Learning, Natural Language Processing, Learning-to-Rank, Retrieval Systems, Transformer Models, A/B Testing, Vector Search, GCP, Vertex AI, Airflow, Data Bias Awareness, System Design.