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Student Data Scientist - Contenttrivago · Düsseldorf
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trivago

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Student Data Scientist - Content

🗓️ Posted 2026-08-25 Düsseldorf Hybrid ICT
💰 Salary Not shared 📊 Market 1,500 EUR–2,000 EUR/mo

About the Company

When travelers are searching for a hotel, trivago aims to be the obvious choice by comparing prices from major booking sites to help people find hotels they want at a price they'll love. Located in Düsseldorf, trivago encourages learning, innovation, and making an enduring mark on the travel industry. A career at trivago is designed for individuals who crave continuous development and want to thrive in a high-performing team, embracing change and turning challenges into pathways for growth.

About the Job

We are looking for a self-motivated and detail-oriented individual with a passion for data to join our Content Data Science (Insights) team. This team builds innovative solutions for hotel discovery, helping millions of travelers make fast and informed decisions. We seek a dynamic team player with an analytical mindset and practical business sense to support data analysis and entry-level data science work on impactful projects. At trivago, you'll be part of a team that invests in your growth, believing the best results come from supported individuals. If you're ready to apply your skills to real-world challenges and grow alongside experienced data scientists, product managers, and engineers, we encourage you to apply.

Role & Responsibilities

  • ● Support product managers by preparing business analyses and project documentation.
  • ● Apply your analytical and data science skills to explore our data and deliver meaningful insights.
  • ● Collaborate with engineers and analysts to improve processes and better measure key performance indicators.
  • ● Explore and analyse hotel and location data to uncover patterns and surface meaningful insights that inform product decisions.
  • ● Build and maintain dashboards to measure, monitor, and communicate the quality and performance of our content data.

Requirements

  • ● Familiarity with Python, Pandas, and Jupyter Notebooks, along with working knowledge of SQL.
  • ● Strong communication skills and a sharp attention to detail - you can spot inconsistencies in data and turn them into improvement points.
  • ● A genuine learning mindset - you approach challenges with curiosity, actively seek feedback, and are eager to grow through hands-on experience.
  • ● A performance mindset - you take ownership of your work, set clear goals for yourself, and follow through with determination.
  • ● An open and curious mindset toward AI tools and automation - you see AI as a force multiplier for how data science and analytics can operate at.