Data Scientist - Price

• Arbeitszeit Vollzeit

• Typ Festanstellung

• Qualifikationslevel B Studienberufe

Gewünschte Fähigkeiten & Kenntnisse

Machine Learning Edge Cloud across MSC Forecasting Recruiting Simulation Übersetzungssoftware Scikit-learn E-Commerce LESS Python Yield Management Make Innovation A/B Testing Engineering Engagement, 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 arent 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 part of our Price team within the Deals Product unit, youll design and optimize algorithms that revolutionize how millions of travellers discover hotel deals across hundreds of booking sites daily. This is a newly formed team where your expertise in pricing strategies, model development, and product sense will directly shape our product direction. Working closely with product managers, engineers, and peer data science teams, youll combine experimental design, machine learning, and optimization to solve complex challenges at scale and deliver strategic insights that drive our mission forward. If you have a strong track record of delivering impactful analyses and ML solutions in production environments, 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 youll make an impact: 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

What youll need to thrive: 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

Stand out with: 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