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Data Scientist

  • Job type: Permanent
  • Location: Munich
  • Salary: Competitive
  • Job reference: CA18181220171644
  • Sector: BI & Big Data, Glocomms
  • Date posted: 18/12/2017
A massive industrial company is investing heavily in advanced data analytics and looking for highly talented professionals to join their Data Lab in Germany.

Therefore, they are seeking for an experienced Data Scientist based in Munich to assist the corporation strategically in order to increase the results and the customer's satisfaction, with a focus on Machine Learning.


As Data Scientist you will contribute to the energy revolution for their business customers by bringing new and innovative ideas, working in projects from the beginning to the market reality.

Tasks and responsibilities: 
  • Work with huge amount structured and unstructured data from internal and external sources, process them and extract valuable insights
  • Model data on Big Data systems such as Hadoop, Hive and HBase
  • Providing advanced analysis using machine learning methodologies (Python, R, Spark, Spark streaming)
  • Processing real-time data stream analysis and complex events (Kafka, Storm)
  • Development and implementing algorithms
  • Data analysis, visualization and effective presentation to internal and external stakeholders
Skills and Experience Required
  • University degree (Master or PhD) in Computer Science, Mathematics or in a similar field
  • Work experience as data scientist with strong skills in statistics, machine learning and data mining
  • Professional experience with programming languages as Python, R or SQL
  • Good skills with data analysis tools as Spark, Tableau, Hadoop
  • Knowledge in design and administration of Big Data environments, evaluation and configuration of components, as well as developing algorithms for customer solutions
  • Fluent in English, German is not mandatory, however considered an advantage and it is needed the willingness to be learned
What this Job Offers You

The company offers an attractive salary package, development opportunities and company culture.

How to apply

If you are interested in the role, please or contact me directly on: +41 44 5421269  or send your CV to Cem Akman at cem.akman(@) or to

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