Data Scientist (m/f)

Data Scientist (m/f)

PAYMILL is a young, innovative payment transaction provider based in Munich, Germany, which enables companies to offer credit card payments on their websites. The modern technology and the Top quality customer support distinguishes PAYMILL from other payment service providers. PAYMILL is active in almost 40 countries and is supported by well-known international investors. Become now a part of our dynamic, international and highly motivated team and actively help to shape the rapid growth of our company.

Currently we are looking for a new team member in Munich as Data Scientist (m/f).

What you will be doing

  • Complex data analysis and development of predictive models based on modern statistic methods
  • Interpretation of the data and derivation of recommendations based on own analysis
  • Bring business requirements to big-data-solutions and create the necessary systems, processes and interfaces
  • Development of new solutions and analytical methods for current and future issues

What we expect from you

  • You have a degree in mathematics, physics, business administration or information technology
  • Long experience in a similar position
  • Consolidated knowledge in statistics and machine learning, Know-how in natural language processing would be an advantage
  • You have already worked with SQL, Excel and also with R, Python or other common statistics software
  • Logical-analytical power, conceptual strength as well as a good psychological-technical understanding and strategic thinking are some of your main competences
  • Strong communication and presentation skills
  • You speak English fluently, additional languages such as German would be a plus

What you get

  • A dynamic, modern and exciting working environment
  • Perfect experience of a start-up atmosphere, professional working ethics and a vast scope of tasks
  • Room for your personal and professional development
  • A motivated team that lives a strong cohesion - both on and off the job - and organizes numerous events through the year
  • A flat hierarchy and short decision lines