Jobbeschreibung
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 our team as the Lead of the Data Science Price team, where your expertise will shape algorithms impacting millions of daily users across hundreds of booking sites in real time. In this pivotal role, you'll lead a new team dedicated to designing, implementing, and enhancing our price caching algorithms, price change prediction models, and dynamic pricing strategies. You will tackle complex challenges at the intersection of experimental design, statistics, machine learning, and sequential decision analytics/dynamic optimization.
Our team is a vital part of the Deals Product unit, whose mission is to revolutionize the deal discovery experience in the hotel search industry. You will collaborate closely with three other data science teams, product managers and engineers.
If you have a strong background in machine learning, economics, or applied science, we invite you to apply and drive the future of data-driven pricing innovation today!
- Lead, mentor, and empower the team of Data Scientists in their professional development, offering guidance and feedback on their work
- Collaborate closely with product managers, software engineers, and data engineers to solve complex problems and explore new business opportunities
- Drive innovation by developing and implementing advanced data-driven solutions that align business priorities with technical feasibility
- Establish new evaluation metrics and simulation techniques to improve the assessment of test performances and long-term impacts
- Communicate results and insights effectively to both technical and non-technical stakeholders
- 5+ years' practical experience in data science, machine learning, or applied science roles
- 2+ years of formal leadership experience managing data science teams
- Advanced academic background (MSc or PhD) in optimization, machine learning, economics, statistics, or related fields, with a solid understanding of software engineering
- Expertise in machine learning, and specialized knowledge in stochastic optimization, reinforcement learning, dynamic pricing or a related field
- Deep knowledge of statistical concepts and experience with experimental design
- Entrepreneurial mindset with an ability to thrive in a fast-paced business environment, balancing cutting-edge research with pragmatism for real-world impact
- Proficient communication skills, comfortable presenting ideas and findings to varied audiences
- Expertise in Python or R (including relevant libraries), solid SQL skills, and experience with Cloud computing services
Stand out with:
- Knowledge in sequential decision analytics and modeling
- Expertise in dynamic pricing strategies
- Proficiency in time series models / state-space models
- Experience in dynamic caching technologies
- A PhD in a quantitative field
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 & collaboration interview with stakeholders
- Leadership interview with lead
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.
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