Data Scientist

Meritocracy Published: May 17, 2017
Job Type


Our partner Kreditech is looking for an experienced Data Scientist to join the team in central Hamburg!

Join the financial revolution!

Are you passionate about finance and want to make a real change? Join Kreditech and our team of over 300 professionals and become part of a transforming industry. From engineering, to design, to analytics, and collections, we do things differently and we reward great ideas, team work and persistence. We have a lot of work to do – and we want you to join us!

Your Role

As a key part of our fun and passionate team, you will be responsible for performing advanced business analysis and forecasting on a wide range of problems, from debt collection performance to customer experience optimization.

This is the optimal opportunity for you to:

  • Get involved in a great domain of applications for data mining techniques;
  • Work with state-of-the art stack of data processing technologies;
  • Experience a range of different problems and technologies from day 1;
  • Get responsibility right from the first day and the unique chance to spearhead the way big data is used in one of the fastest growing financial sectors.

Your Strengths Essential:  

  • Bachelors or Masters with strong academic performance in a quantitative field (Computer Science, Statistics, Mathematics, Electrical Engineering, Business Informatics);
  • Expertise in Machine Learning;
  • 1 or more years of work experience in a similar role;
  • Ability to process data and build predictive models in R (R Studio);
  • Experience in analyzing complex data and presenting your conclusions in a clear and concise manner to a wide range of audiences;
  • You are familiar with SQL and NoSQL database technologies, and are capable of at least querying them for any data required;
  • You speak English fluently-any other language or German are not required but an additional plus.


  • PhD degree in a quantitative field;
  • 2 or more years of experience as a data scientist;
  • Absolutely fluent in R, you could call yourself an R-hacker;
  • Familiarity with Python.