Data Scientist - Data Products

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 Data Intelligence Unit, you'll work closely with our product, advertiser, and marketing teams and have an impact on company-wide projects. In this role, you will identify business problems, design and implement solutions using innovative models adaptable to the rapidly-changing travel industry. If you have a background in algorithm development, machine learning, or predictive analytics and enjoy finding solutions to complex problems, apply today!   Get an inside look at data science at trivago: 

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:

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!

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