Data Scientist/ Machine Learning Developer (m/f/d)

  • Entry as

    Entry as


  • Working model

    Working model

    Full time

  • Location



  • Start


    By arrangement

Your tasks

  • Further develop our models and solutions
  • Test new approaches and techniques
  • Be accountable for all aspects of your work, from research and analysis to testing and deployment
  • Play a critical role in the team as a creative Data Scientist working at production level.

Your profile

  • A degree in Statistics, Computer Science, Mathematics or other similar quantitative fields
  • Deep understanding of Statistical / Machine Learning methods, e.g. Markov Chain, Bayesian models, NN, etc.
  • Data engineering skills, building ETL pipelines, data monitoring
  • Ability to create innovative technical concepts to solve real-world Machine Learning problems
  • Passion to develop a great product as part of an agile team
  • Writing Python code that is used in production
  • Bias towards fast delivery while having high-quality standards

Additional preferred skills

  • Experience with AWS (EC2, S3, EMR, Data Pipelines)
  • NoSQL
  • DBs like MongoDB

What we offer you

  • Here you will meet a team of like-minded people who roll up their sleeves, have fun at work and make a real difference
  • We support flexible working hours as best we can, offer a mobility program (e.g. HVV Ticket) and ensure that our employees' work-life balance is right
  • Learning on the job, regular training and workshops are something we do as a matter of course
  • It is important to us that the success we have achieved together is celebrated and therefore, we organize events for the team after important phases
  • With us, you have the unique opportunity to experience and shape the growth of a highly ambitious company

Did we spark your interest?

You want to help us create a greener Logistics industry and see yourself enjoying the tasks? Then you should apply as quick as possible. :)
We make applying a real experience - no cover letter, just upload your curriculum vitae or file your Xing/LinkedIn profile, 5 minutes and you are done!

We look forward to getting to know you and your personal story soon!