Data Science Lead – Price

When travelers are searching for a hotel, we want the obvious choice to be trivago! By comparing prices from major booking sites, we’re making it easy for people to find hotels they want at a price they’ll love. In the lively city of Düsseldorf, we seize opportunities to learn everyday, innovate, and make an enduring mark on the travel industry. A career at trivago is a journey designed for people who crave continuous development and want to thrive in a high-performing team. Here 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

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!

Get an inside look at data science at trivago:

How you’ll make an impact:

• 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

What you’ll need to thrive:

• 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 
• Leadership interview

What you can look forward to: