Data Scientist - Marketing

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

As a Data Scientist in Marketing Science & Operations team, you drive the return on trivago’s marketing investment: every euro measured, allocated, and steered against the P&L. You’ll deliver real business value from complex data, working alongside peer data scientists, analysts, engineers, growth managers, and business stakeholders. You’ll own how we measure and allocate marketing spend, from attribution and incrementality to media mix modelling, and deploy models that steer real decisions. With significant autonomy and ownership, you’ll raise the bar for the wider team by sharing what you know. trivago is a place where ambition and support go hand in hand: we hold high standards and invest in each other’s growth. Apply now to join us.

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 that solve real business problems and drive 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:

• Proficiency in SQL and Python, and practical experience building, evaluating, and deploying predictive models, ideally on cloud data warehouses like BigQuery and with ML ops practices such as model monitoring and versioning.
• A solid understanding of marketing metrics, attribution, campaign performance, and experimentation principles, ideally from marketing, travel tech, e-commerce, or digital growth, and ideally with hands-on A/B testing, geo testing, or causal inference.
• Strong business acumen and the ability to tell stories with data: you connect models, customer behavior, and company goals, and make complex findings clear and actionable in English, both written and verbal.
• A genuine learning mindset: you approach challenges with curiosity, seek out feedback, and continuously look for ways to develop and grow.
• A performance mindset: you set ambitious goals for yourself and have the determination and resilience to follow through and achieve them.
• An open and curious mindset toward AI: you see it as a force multiplier for analytics at scale, actively explore how it can enhance your work, and use it thoughtfully with the right guardrails

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:

• Video introduction
• Introduction Call
• Case study
• Technical Interview
• Interview with Stakeholders
• Profile Dynamics Assessment

What you can look forward to:

At trivago, you'll work with petabytes of real travel data, modern ML infrastructure, and a team that values technical depth and continuous learning — here's what else you can expect:

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.

Thank you for considering a career at trivago! Our commitment to fostering an inclusive and enriching environment for all talents is at the heart of what we do. We understand that embarking on a new job opportunity is a blend of excitement and curiosity. Should any questions arise before you apply, feel free to reach out to us at . Join us in our mission to make a positive impact on global travel, w e look forward to your application!

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