What we look for:

  • Support the data science team
  • Have a passion for big data sets, technology and machine learning to improve business efficiencies
  • Set own impulses and evaluations of technologies related to project work
  • Integrate complex digital strategies for international clients with a technical focus
  • Take responsibility for own small sub-projects
  • Support the analysis and execution of technical and refined data optimization
  • Create data driven intelligent models and integrate solutions on tasks such as entity classification, clustering, and dimensionality reduction

What we require:

  • Preferred studies: IT/ Computer Science, Machine Learning, Statistics, or Applied Mathematics
  • Prior experience with Python, SQL and statistical modelling (R, SPSS, SAS)
  • Passion for data modelling and optimization in the field of business intelligence and data mining
  • Experience working with raw and/or unstructured data sets – using script and other machine learnings tools to extract insights, understand trend inflections and flag big data integrity issues
  • Strong analytical skills and the ability to think creatively
  • Curious personality with the desire to work in a fast-paced Environment
  • Fluent in German and good reading and writing proficiency in English

What you can expect:

  • You will have the opportunity to take part in a great success story in the heart of Munich
  • You will be responsible for important, challenging, yet exciting projects and Clients
  • You will gain unparalleled experiences and insights in new digital business models and best practices across 8 different industries (some very advanced and some at early stage of digital transformation)
  • You will have many opportunities for personal and professional development
  • You can make a real difference in a growing, motivated and creative team directly collaborating with the founders/Partners

 

 

Please direct your application to:

Philipp Ortlieb

future@ommax.de

OMMAX - Digital Solutions
Friedrichstr. 22
80801 Munich, Germany
+49 (0) 89 4141 8600