At trivago, we believe that finding the perfect hotel can be simpler and more convenient. Our leading metasearch engine is super fast and constantly optimized - enabling millions of travelers to easily search for hotels across several booking sites and find the best deals. Complemented by cutting-edge technology, real-time auction, and machine learning techniques, we use petabytes of data to create an exceptional user experience, delivering attractive hotel deals in one search. This experience is only made possible, thanks to our skilled talents united in our campus in Düsseldorf, Germany and working to shape the future of travel.
Join us in making a difference
As a Data Scientist in the trivago bidding and recommendations team, you'll have a direct impact on the mechanisms that govern trivago’s marketplace and monetization. You will design, implement, and improve our bidding algorithms and evaluate their performance on live data. By working closely with auction, ranking, engineering, and sales teams, your mission will be to optimize the bidding strategy and help advertisers to spend marketing budget and maximize incremental value. If you have a background in algorithm development, machine learning, or predictive analytics and enjoy finding solutions to tricky problems, apply today!
Get an inside look at data science at trivago:
How you’ll make an impact:
- Evaluate algorithm performance to identify improvement opportunities by understanding the balance between short and long-term trends
- Push new ideas into production and apply state-of-the-art models while keeping business priorities, trade-offs, and technical feasibility in mind
- Design and analyze large-scale A/B tests to continuously improve and iterate on trivago's bidding algorithms
- Create, develop, and maintain metrics on dashboards to measure the value generated for our users, advertisers, and trivago
- Proactively communicate, share your conclusions, and explain complex topics tailored to diverse audiences
- Propose and develop new products to support the campaigns of our advertisers
What you’ll need to thrive:
- At least 4 years of experience working in data science or machine learning
- A degree in computer science, mathematics, statistics or another quantitative discipline
- An exceptional understanding of data analysis, statistics concepts, and A/B testing
- Experience working with SQL and knowledge of big data technologies (Hive, Impala, Spark, etc.)
- Proficiency in programming in Python and relevant data manipulation packages (e.g. pandas, pyspark)
- Excellent communication skills (both verbal and written) and confidence in presenting ideas and findings to stakeholders with the right level of detail
- Ability to work well independently, understand data science fundamentals, be meticulous, and prioritize effectively
What makes you stand out:
- Experience working with Google Cloud Platform and ML Ops
- Experience with Bayesian statistics and probabilistic programming in tools like Stan, PyMC, or TensorFlow Probability
- Solid organizational and multitasking skills with the ability to balance multiple priorities
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!
