Leipzig

Please apply here on „ITmitte.de“ with the „Apply Now“ link/button at the top right.

You design and build the reporting aspects of our log management and network data security products working in close collaboration with product management.

Your Responsibilities as Data Scientist

  • You take part in the full product development life-cycle from investigation to the development of novel and scalable prototypes
  • You support all phases until the release of the product, interfacing with a wide range of experts in the field
  • Our technology stack is based on Python and JavaScript

Qualifications

  • A minimum of 3 years of developing or research experience on machine learning and data analysis.
  • Master in mathematics, statistics, computer science, robotics or machine learning or similar education or strong work experience
  • PhD in mathematics, statistics, computer science, robotics or machine learning is a strong plus
  • Strong background in classical machine learning (SVM, Regression, K-means etc.) is a must
  • Python including its popular machine learning frameworks
  • Background in Social Network Analysis is a plus
  • Knowledge of Deep Learning is a plus
  • Ability to manipulate large-scale structured datasets
  • Fluency in either English or German
  • Will to transfer research results to a practically running product

What we offer

  • Startup environment where your energy and talents can make a difference
  • Very competitive remuneration package and relocation support 
  • An office located in the center of Leipzig, one of the most vibrant cities in Germany
  • Comprehensive job training and education program, such as support attending top conferences
  • Friendly working conditions and company activities, e.g., squash
  • All the beverages you can drink, of course, including coffee, tea, Club Mate and many more

Interested in joining cognitix?

Send your CV and covering email to jobs@cognitix.de 
Cite the role to which you are applying in the subject line
Call for more information: Tel: +49-(0) 341-331 87000.

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