# Data Scientist - Price 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: - Design analytical frameworks and ML mode

- **Company:** trivago (https://jobs.trythestack.co/companies/trivago)
- **Location:** Düsseldorf, Germany
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Machine Learning, Python, R, SQL, GCP, A/B Testing, Experimental Design, Time Series Analysis, Optimization Algorithms, Price Prediction, Data Storytelling, Statistical Testing, Big Data Technologies, Dynamic Pricing, Reinforcement Learning, Production ML Deployment
- **Posted by employer:** 2026-06-02
- **Added to The Stack:** 2026-06-20
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://careers.trivago.com/job/r8401443002?gh_jid=8401443002 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/data-scientist-price-trivago

## About the role

Responsibilities:
- Design analytical frameworks and ML models that guide pricing strategy, price prediction and caching optimization for millions of users.
- Build, deploy and maintain production-ready machine learning systems with monitoring, iteration and performance safeguards.
- Establish and run experiments (A/B tests), define evaluation metrics, and develop simulations to quantify impact.
- Translate complex business problems into technical solutions through close collaboration with product managers and engineers.
- Communicate findings and strategic recommendations clearly to stakeholders using concise data storytelling.
- Mentor and review work of junior data scientists to raise team quality and disseminate best practices.

Requirements:
- 5+ years of industry experience delivering impactful analyses and production ML models in data science or applied science roles.
- Advanced degree (MSc or PhD) in computer science, statistics, engineering, mathematics, economics, or a related quantitative field.
- Proven experience deploying and operating ML models in production, including monitoring and iterative improvement.
- Strong foundation in experimental design, statistical testing, time-series analysis and optimization methods.
- Proficiency with Python or R, SQL, and familiarity with cloud platforms and big-data tooling (e.g., GCP).
- Experience with real-time systems, caching strategies, dynamic pricing, or reinforcement learning/bandit methods is a plus.
- Excellent collaboration and communication skills to influence product and engineering teams.

## Responsibilities

Design and optimize ML models and analytical frameworks to revolutionize hotel price discovery and caching for millions of users. Collaborate cross-functionally to translate business problems into technical solutions and mentor junior data scientists.

## Requirements

Requires 5+ years of industry experience in data science and an advanced degree in a quantitative field. Must have proven expertise in deploying production ML models, statistical testing, and proficiency in Python/R and SQL.

## FAQ

- **Is this Data Scientist - Price role still open?** It was posted on 2026-06-02. 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 Düsseldorf, Germany. It is marked on-site.
- **What skills does this role ask for?** The listing names: Machine Learning, Python, R, SQL, GCP, A/B Testing, Experimental Design, Time Series Analysis, Optimization Algorithms, Price Prediction, Data Storytelling, Statistical Testing, Big Data Technologies, Dynamic Pricing, Reinforcement Learning, Production ML Deployment.

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## Notes for agents

- Apply on the employer's page (https://careers.trivago.com/job/r8401443002?gh_jid=8401443002). The Stack does not take applications.
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