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 the Auction team, you'll be responsible for designing and developing trivago’s two-sided marketplace that connects travelers with hotels worldwide. This involves working on ML algorithms which produce billions of predictions per day. Your statistical analyses will provide recommendations that play a pivotal role in shaping trivago’s product. In particular, your analyses will support team decisions on how to continuously improve our existing auction model, help advertisers optimize their marketing campaigns, and minimize their risk on our platform. If this sounds like your next role, apply today!
How you’ll make an impact:
- Develop and optimize algorithms to maintain a fair and healthy marketplace. For example, we build models for: user click-through-rate, determining advertiser rate accuracy, and for setting the auction reserve price
- Closely collaborate with the auction backend engineering team and other stakeholders to ensure the seamless operation of trivago’s marketplace and display the best deals for our users
- Analyze petabytes of data to discover hypothesis about new product features and understand long-term trends in trivago’s marketplace
- Create statistical models to establish causal relationships between different components in our marketplace. Design experiments, conduct and analyze A/B tests
- Develop metrics that measure the accuracy and fairness of our ML models to ensure great hotel search experience for our users while ensuring a healthy and competitive marketplace
Some topics you’ll be working on:
- How to improve our ML algorithms that leverage trivago’s rich data on hotel prices and deploy low-latency models to find the best deals for our users
- The causal impact of our algorithmic changes on trivago’s users and marketplace dynamics
- The advantages and disadvantages of different auction-based allocation and payment mechanisms
- How to improve the statistical tools and methods used to test novel product features and reduce the runtime of experiments
What you'll need to thrive:
- Minimum 2 years' hands-on experience in an analytics-related field
- An exceptional understanding of data analysis and statistics with experience working with both in either an academic or professional context
- Excellent communication skills and confidence in presenting ideas to stakeholders with the right level of detail
- Proficiency in programming in one statistical scripting language e.g. Python, R; experience working with SQL
- A firm belief that excellent data science requires a thorough understanding, meticulousness, and attention to detail
- Motivation to constantly learn about data science and related fields (e.g. mathematics, software development, business), and share insights with the team
- Fluency in English (our company language)
Stand out with:
- A PhD in a quantitative field
- A background in either machine learning, econometrics, or causal inference
- Experience working with cloud technologies and building production-level machine learning models
- Experience with Bayesian statistics and probabilistic programming in Stan or PyMC
- Experience developing code in teams with version control (git)
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!
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 Likeminded, 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, 2 WFH days weekly, the chance to work remotely for 20 days abroad, free access to the Heynanny 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, stay healthy with our on-site gym and sports classes, and enjoy the comfort of ergonomic desks and focused work areas.
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 joinus@trivago.com. Join us in our mission to make a positive impact on global travel, we look forward to your application!
