Data Scientist / Machine Learning Engineer (d/f/m)

Quality Traffic Monetization - full-time - Munich

We’re looking for a Data Scientist / Machine Learning Engineer (d/f/m) to become part of our outstanding team in Munich. As part of a cross-functional team of engineers, data scientists, and product owners you will be responsible for designing, implementing, optimizing, and evaluating our product recommendation algorithms. If you love seeing your ideas blossom through their whole life-cycle from concept to governing the interaction with millions of users - then Stylight is the place to be for you!

Your Key Responsibilities

  • Develop our product algorithms by integrating data and experimenting with customized approaches to solve issues in product search and ranking.
  • Design, Analyze, and Interpret our AB tests and experiments of different product strategies.
  • Solve non-routine analysis problems applying advanced analytical methods as needed.
  • Push to bring new ideas into production and apply state of the art models while always keeping business priorities and technical feasibility in mind.
  • Determine new evaluation metrics and techniques to anticipate test performances and better evaluate the impact of our actions.

Your Profile

  • An advanced degree in Stats, Math, Physics, Computer Science, or another quantitative field.
  • 2+ years experience analyzing or building models on large complex datasets.  
  • Strong knowledge of applied statistics, experimental design, and causal inference.
  • Knowledge and experience with popular Machine/Deep Learning libraries such as PyTorch, TensorFlow, Scikit-Learn, Pandas, NumPy etc.  
  • Python coding knowledge to proficiently build prototypes and analyze large data sets. Bonus: Knowledge of SQL and experience with big data technologies (e.g. BigQuery, etc.)
  • Excellent communication skills and confidence in presenting ideas and findings.
  • You work well independently and prioritize effectively. 

Your Future Team

  • We are an international team with different backgrounds: Machine Learning, Data Science, Engineering.
  • We love solving problems with a pragmatic approach - speedy iterations are better than perfect.
  • We work in two-week sprints, value autonomy, open communication and having few meetings.

Why join Stylight?

  • Shape the way Stylight grows! With 160m yearly shoppers in 16 countries and >1,500 shops we are the world's leading online search platform for Fashion, Beauty, and Design.
  • Worldwide vibes! Our team is made up of individuals from over 25 countries, who speak 41 languages, and represent many different backgrounds. You will be inspired by talented colleagues from around the world.
  • Curiosity is our compass! We support and encourage you in achieving your goals by providing you with an annual personal development budget of 2.000EUR and 3 personal development days, that you may use for external training. All while you obtain regular feedback sessions with your peers and manager.
  • Always one step ahead! Bi-monthly Innovation Days foster knowledge sharing throughout the whole company.
  • Hybrid Working Model: Balance is the key to our success! We give you the ability and flexibility to manage your own work and personal life, through a mix of office, remote and semi-remote opportunities.
  • Vacation counts! Whether you plan a family vacation or to visit your friends back home – 27 days of paid vacation + Christmas and New Year’s day are all yours! And let’s not forget the yearly extra day you get for the first 3 years of company affiliation.
  • You are not alone! You will be assigned a buddy who will help you navigate through your first weeks of onboarding.
  • Prost, Cheers, Salute ! We celebrate our success in every language!

Want to know more? Check out: and

Up for the challenge?
If you want to work in a fun, exciting, challenging and dedicated environment, then don't hesitate and apply today via We're looking forward to reading your complete application (cover letter, CV) in English! Your contact: Sebastian Breuer.