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
How you’ll make an impact:
- Develop our models by bringing new ideas and implementing them while keeping business priorities in mind
- Improve models' performance by designing tests and evaluating the results
- Translate business needs into hypotheses, leading to advanced analytical projects, and conduct ad hoc analyses to address specific business questions
- Ensure a good quality of data by developing and monitoring data anomaly detection tools
- Conduct data science projects from conception to deployment and maintenance across the fields of marketing and product
- Proactively communicate and share your conclusions, as well as explain complex topics tailored to the audience
- Investigate state-of-the-art models and techniques to find new applications within trivago’s business
What you'll need to thrive:
- A Bachelor's degree in statistics, mathematics, physics, computer science, or another quantitative field
- At least 3 years' experience working in data science or machine learning
- A good understanding of data analysis and statistical concepts with experience applying them
- Proficiency in programming in either Python or R and SQL skill
- Good communication skills and confidence in presenting ideas and findings to stakeholders regardless of their technical background
- Proactivity and familiarity with ambiguity, keen attention to details while working independently in a fast-paced and ever-changing environment
- Fluency in English, our company language
Stand out with:
- A master's or PhD in statistics, mathematics, physics, computer science, or another quantitative field
- Experience with cloud technologies e.g. GCP, BigQuery, etc.
- Experience with big data technologies and distributed systems like Hadoop, Spark, etc.
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:
- Introduction Call
- Case Study
- Technical interview with case study presentation
- Interview with Stakeholders and Lead
What you can look forward to:
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!
