# Data Scientist - AI Search & Ranking at trivago

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Own end-to-end search and ranking compon

- **Company:** trivago (https://jobs.trythestack.co/companies/trivago)
- **Location:** Germany
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Search and Ranking Systems, Machine Learning, Query Understanding, Natural Language Processing, Information Retrieval, Learning to Rank, Candidate Generation, Personalization, Transformer Fine-Tuning, PyTorch, Hugging Face, Python, SQL, A/B Testing, Vector Search, Google Cloud Platform
- **Posted by employer:** 2026-11-04
- **Added to The Stack:** 2026-11-05
- **Listed until:** 2027-01-03
- **Status:** Active
- **Apply:** https://careers.trivago.com/apply/8899648002.?gh_jid=8899648002 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/data-scientist-ai-search-ranking-trivago-b8f7dae0

## About the role

Responsibilities:
- Own end-to-end search and ranking components: problem framing, model development, deployment and measurement in production.
- Build multilingual query understanding (intent classification, NER, slot filling, semantic parsing) across 35+ languages.
- Design retrieval and ranking pipelines: candidate generation, dense/sparse retrieval, neural re-ranking and latency-aware deployment.
- Balance relevance, personalization and commercial objectives for marketplace scenarios; incorporate business signals into ranking.
- Implement experimentation frameworks and run A/B tests to validate models and measure business impact.
- Collaborate with engineers, product and ops to monitor models, handle bias, and maintain production quality and cost.

Requirements:
- 5+ years building and shipping production search, ranking or recommendation systems (or equivalent experience).
- Strong expertise in retrieval, learning-to-rank, NLP and query understanding; practical knowledge of transformer models and fine-tuning.
- Hands-on experience with PyTorch or Hugging Face, Python, SQL and vector search technologies (or other IR stacks).
- Familiarity with A/B testing, online experimentation and bridging offline metrics to live conversion.
- Experience with cloud platforms (GCP/Vertex AI) and production ML deployment best practices; MSc/PhD preferred but not required.

## Responsibilities

Build and deploy production search capabilities, including multilingual query understanding, candidate retrieval, ranking, and personalization, with ownership from problem framing through business impact. Develop evaluation and experimentation frameworks, apply language models where useful, and balance relevance, marketplace value, quality, latency, and cost.

## Requirements

Requires 5+ years of experience building and shipping production search, ranking, or recommendation systems, with deep expertise in at least one relevant area such as learning to rank, retrieval, NLP, or personalization. Candidates should have experience with transformer models, experimentation and A/B testing, strong Python and SQL skills, and hands-on familiarity with PyTorch or Hugging Face; a master's degree or PhD is preferred, or equivalent expertise.

## FAQ

- **Is this Data Scientist - AI Search & Ranking role still open?** It was posted on 2026-11-04 and is listed as active on The Stack. Confirm on trivago's application page 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: Search and Ranking Systems, Machine Learning, Query Understanding, Natural Language Processing, Information Retrieval, Learning to Rank, Candidate Generation, Personalization, Transformer Fine-Tuning, PyTorch, Hugging Face, Python, SQL, A/B Testing, Vector Search, Google Cloud Platform.

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## Notes for agents

- Apply on the employer's page (https://careers.trivago.com/apply/8899648002.?gh_jid=8899648002). The Stack does not take applications.
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