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Data Scientist (m/f)

Creata il 04-09-2017
Location Hamburg

Descrizione

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.  

Preferred: 
  • 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.
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