Data Scientist - Price

About trivago

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 that saves travelers time and money. At trivago, we seize opportunities to learn, innovate, and make an enduring mark on the travel industry.

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

Benefits

• Opportunities for personal and professional growth through coaching, workshops, conferences, and educational resources
• Visa support, relocation package, and interest-free newcomer loan for international candidates
• Flexible work arrangements including remote work, flexible hours, and generous vacation time
• Access to on-site amenities like a canteen, gym, sports classes, and a kids room