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 part of our Price team within the Deals Product unit, you’ll design and optimize algorithms that revolutionize how millions of travellers discover hotel deals across hundreds of booking sites daily. This is a newly formed team where your expertise in pricing strategies, model development, and product sense will directly shape our product direction. Working closely with product managers, engineers, and peer data science teams, you’ll combine experimental design, machine learning, and optimization to solve complex challenges at scale and deliver strategic insights that drive our mission forward. If you have a strong track record of delivering impactful analyses and ML solutions in production environments, we invite you to apply and drive the future of data-driven pricing innovation today!

Get an inside look at data science at trivago:

How you’ll make an impact:

• Design analytical frameworks and models that inform pricing strategy and product decisions through data-driven insights and simulations

• Build and deploy production-ready ML models for price prediction and caching optimization that serve millions of users in real-time

• Establish experimentation standards by designing A/B tests, defining evaluation metrics, and developing simulation techniques to measure performance

• Translate complex business problems into technical solutions through cross-functional collaboration with product and engineering teams

• Communicate findings effectively to stakeholders at all levels, influencing product strategy through compelling data storytelling

• Guide less experienced data scientists through quality reviews, knowledge sharing, and technical mentorship

What you’ll need to thrive:

• 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 related quantitative field

• Proven expertise building, deploying, and maintaining machine learning models in production environments with monitoring and iteration

• Strong foundation in experimental design, statistical testing, and A/B testing methodologies applied in production settings

• Practical experience with time series, optimization problems, pricing algorithms, recommendation systems, or forecasting techniques

• Expert-level proficiency in Python or R (pandas, scikit-learn), SQL, and cloud platforms (e.g., GCP) with big data technologies

Stand out with:

• Experience in dynamic pricing, yield management, or revenue optimization within travel, e-commerce, or marketplace industries

• Background in reinforcement learning, bandits, or sequential decision-making applied to real-world business problems

• Production experience with real-time systems, high-throughput ML serving, or caching strategies at scale

• Strong mathematical foundations and problem-solving skills

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
• Final Interview with Stakeholders and Lead

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 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.

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.