Company Introduction
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.
Responsibilities
- Design analytical frameworks and models that inform pricing strategy and product decisions through data-driven insights and simulations
- Build and deploy production-ready ML models for price prediction and caching optimization that serve millions of users in real-time
- Establish experimentation standards by designing A/B tests, defining evaluation metrics, and developing simulation techniques to measure performance
- Translate complex business problems into technical solutions through cross-functional collaboration with product and engineering teams
- Communicate findings effectively to stakeholders at all levels, influencing product strategy through compelling data storytelling
- Guide less experienced data scientists through quality reviews, knowledge sharing, and technical mentorship
Requirements
- 5+ years of industry experience delivering impactful analyses and production ML models in data science or applied science roles
- Advanced degree (MSc or PhD) in computer science, statistics, engineering, mathematics, economics, or related quantitative field
- Proven expertise building, deploying, and maintaining machine learning models in production environments with monitoring and iteration
- Strong foundation in experimental design, statistical testing, and A/B testing methodologies applied in production settings
- Practical experience with time series, optimization problems, pricing algorithms, recommendation systems, or forecasting techniques
- Expert-level proficiency in Python or R (pandas, scikit-learn), SQL, and cloud platforms (e.g., GCP) with big data technologies
Optional Skills
- Experience in dynamic pricing, yield management, or revenue optimization within travel, e-commerce, or marketplace industries
- Background in reinforcement learning, bandits, or sequential decision-making applied to real-world business problems
- Production experience with real-time systems, high-throughput ML serving, or caching strategies at scale
- Strong mathematical foundations and problem-solving skills
Benefits
- Personalized career development through coaching, workshops, and educational opportunities
- Support for relocation and visa processing, including language classes
- Flexible working hours, remote work options, and generous vacation days
- On-site amenities like gym, sports classes, and childcare support
- Competitive compensation and attractive employee benefits