• Location: München (81249)
  • Salary: €60000 - €70000 per annum
  • Technology: Big Data Jobs
  • Job Type: Permanent
  • Date Posted: 28th Aug, 2017
  • Reference: 280817ZB

Are you an experienced Data Scientist who is interested in the top notch automotive technologies but you have no experience in this sector? If you think it is now time to change sectors and you are now searching for an in-house Data Science position and want to work in a very nice work environment on the most exciting projects in the automotive sector this opportunity is definitely for you.

A successful consulting house with more than 25 years of market experience is looking for a Data Scientist to join their organisation in Munich. An international team is waiting for you to join them in a wonderful modern office.

Tasks and responsibilities:
  • Advising clients by the implementation of Big Data Technologies
  • Data Mining, Clustering, Recommendation Classification or Forecasting
  • Time Series Analytics (numeric data)
  • Visualize data to tell compelling stories
  • Your solutions allow the clients to deal with Big Data efficiently
  • Applying predictive modelling via supervised or unsupervised machine learning

Your Profile:
  • Successfully finished studies in Computer Science, Mathematics, Statistics or related fields
  • Strong work experience as Data Scientist
  • Good work experience with functional programming languages (Python, R, Java)
  • You feel confident using one of the following Tools: Hadoop, Spark, Hive, HBase, Map-Reduce, Mahout, Weka or Elasticsearch
  • Strong Know-How with Machine Learning, Deep Learning, Natural Language Processing (NLP)
  • Familiarity with scikit-learn is a plus
  • You enjoy analysing large datasets and visualising the results
  • You have both a strong attention to detail and an ability to see the wider picture and to focus your efforts where they are most needed
  • You are a team player, able to work constructively in a highly focused team and also on your own initiative.
  • Excellent English skills both written and spoken is a must
  • Good level of German is a big plus