When travelers are searching for a hotel, we want the obvious choice to be trivago! Our leading metasearch engine is super fast and constantly optimized – enabling millions of travelers to compare hotel prices from hundreds of booking sites and find great deals in just a few clicks. We use cutting-edge technology, real-time auction, and machine learning techniques with petabytes of data to create an experience – time and money saved! In the lively city of Düsseldorf, we seize opportunities to learn everyday, innovate, and make an enduring mark on the travel industry. At trivago you will find those who aren’t afraid of change but rather embrace it, turning every challenge into a pathway for growth. Join trivago, work with a great team, and grow with us!

Join us in making a difference

The Marketing Strategy and Intelligence team at trivago is a unique blend of data and business expertise, steering key marketing decisions through impactful data products, actionable insights, and deep market understanding. As a Data Scientist, you will play a critical role in designing, building, and optimizing the statistical and machine learning solutions that have direct business impact and power trivago’s global marketing strategy.

You will collaborate closely with fellow data scientists, analysts, engineers, as well as growth managers and business stakeholders to transform complex data into real business value. Together, you will design advanced analytics and ML solutions to complex marketing challenges, ensuring decisions are grounded in robust data, experimentation, and customer-centric thinking.

If this sounds like you, read on & apply today!

Get an inside look at data science at trivago:

How you’ll make an impact:

• Design, build, and iterate on statistical and machine learning models that shape our marketing strategy, budget allocation, and bidding decisions.
• Partner with marketing stakeholders to design ML products solving real business problems and driving incremental value for the company.
• Collaborate with engineers and analysts to productionize models, ensure data quality, and maintain robust data pipelines across multiple sources.
• Share your findings and model results in a way that resonates with both technical and non-technical audiences, informing strategy and day-to-day execution.

What you’ll need to thrive:

• 5+ years of experience as a Data Scientist or in a similar quantitative role, ideally in marketing, travel tech, e-commerce, or digital growth.
• A degree in Statistics, Mathematics, Physics, Computer Science, Data Science, or another quantitative field.
• Strong business acumen – you connect the dots between models, customer behavior, and company goals, and focus on measurable impact.
• Proficiency in SQL and Python
• Practical experience building, evaluating, and deploying predictive models
• Solid understanding of marketing metrics, attribution, campaign performance, and experimentation principles.
• Proven ability to tell stories with data and models – making complex findings clear, engaging, and actionable.
• Excellent communication skills in English, both written and verbal.

Stand out with:

• Experience in the travel, e-commerce, or digital marketing industry.
• Hands-on experience with A/B testing, geo testing, or causal inference.
• Knowledge of big data platforms and cloud data warehouses like BigQuery.
• Familiarity with ML ops and analytics engineering practices (e.g., model monitoring, versioning, CI/CD for data/ML).

Worried about missing a few requirements? Still apply, and express your motivation as you may just be the right candidate for this or other roles!

Recruiting process for this role:

• One-way video interview
• Call with recruiter
• Case Study
• Technical interview with team + present case study
• Interview with Marketing stakeholders

What you can look forward to:

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.

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 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.

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.