(Junior) Data Scientist - Recommender Systems and Ranking | (Junior) Data Scientist (m/w/d) – Fokus auf Recommender Systems und Ranking-Probleme Mietwagen

CHECK24 Services Personal GmbH

Augsburg, Bayern, Bayern, Deutschland
Published Apr 8, 2026
Full-time
Permanent

Job Summary

As a (Junior) Data Scientist at CHECK24's car rental division in Augsburg, you will play a pivotal role in enhancing the user experience for over 20 million customers. Your day-to-day responsibilities involve developing, operating, and optimizing production-grade ranking and recommendation models that directly influence how search results are personalized for users. You will work within an agile environment, conducting A/B tests and integrating models into existing system landscapes via APIs and microservices. This role is highly collaborative, requiring close interaction with IT and product teams to ensure high-quality, data-driven decision-making. What makes this position unique is the immediate customer impact of your work within Germany's market-leading comparison portal, combined with a modern tech stack including Python, Docker, and Generative AI tools. The company offers a vibrant office culture with extensive benefits, including flexible working hours, mobile work options, and a strong focus on professional career development.

Required Skills

Education

University degree in Data Science, Computer Science, Mathematics, or a related quantitative field.

Experience

  • Professional experience in the development and operation of Machine Learning applications
  • Experience in building stable data and training pipelines
  • Experience with common ML frameworks such as Scikit-learn, TensorFlow, or Keras
  • Practical experience in software development workflows including version control and containerization
  • Experience in the context of ranking or recommender systems is preferred

Languages

German (Fluent)

Additional

  • The role is based at a central location in Augsburg (near the main station). Requires the ability to work in an agile environment and a willingness to use Generative AI tools for development and testing.