We are looking for a Data Scientist / Machine Learning Expert (m/f/x) to join our multinational IT organisation and help us further develop our modern technology stack built on AWS. We may have a long history, but we also have fresh ideas and an agile mindset. Join us to create an innovative and scalable platform for Europe's leading B2B marketplace. We offer a wide range of benefits and training for our employees. For instance, you’ll be provided with a high-end MacBook Pro or whichever device will make you most productive.


Support our team in Hamburg starting immediately as a:

Data Scientist / Machine Learning Expert (m/f/x)

We deliver challenges

  • You will apply statistical methods, machine learning and appropriate scalable tools, frameworks and services to build personalisation, suggestion and recommendation features for our clients and internal teams
  • Furthermore you will design processes to collect, aggregate and enrich raw data and strive to utilise our data as a foundation for our development teams
  • You will apply data mining (e.g. search logs, event logs) and text mining (e.g. classification of crawling data, product and company descriptions) tools to optimise our search algorithm
  • You will analyse our user feedback data from A/B Tests and Analytic Data/Tracking

We deliver perspectives

  • A varied, challenging job with exciting projects awaits
  • As part of our friendly and open-minded team, you can bring your own ideas and develop them further
  • Through our flat hierarchies and short decision-making, you will have the opportunity to make an impact
  • We offer attractive incentives and fair remuneration in modern offices in the heart of the city of Hamburg

Here’s what you should be ready to contribute

  • 4+ years of job experience in Data Science and a fundamental knowledge of statistical methods
  • Knowledge to build and run machine learning algorithms and integrate with appropriate tools, frameworks and services (Keras, Tensorflow, Spark, scikit-learn, word2vec, etc.)
  • A broad knowledge and experience in at least one of the following areas: Tracking, A/B testing, evaluation, modelling (search attribution, regression, classification, recommendation, linear optimisation, content analysis) 
  • An active demand for and desire to promote the interdisciplinary exchange of knowledge