Data Scientist (f/m/d) Mannheim, Ulm, Kempten, Berlin or Cracow at Transporeon GmbH (Mannheim, Germany)

At Transporeon we embrace transformation and change in total sync with one another. We rethink, reinvent and rework ideas from one moment to the next – as many times as is necessary to get the job done right. That’s how we respond to the new challenges that we face each and every day. And regardless of whether you are just starting your career or are already a pro – we believe you can be the transformation. Are you ready?

You are ready, if you ...

  • want to join us on our mission to digitize the logistics industry through leveraging data to make the right decisions, speed up processes and help protect our environment by reducing empty mileage of the trucks crossing our countries
  • can say that statistics, math or computer science have been among your favorite subjects during your studies
  • already solved challenging problems with tools from wider PyData ecosystem, such as Pandas, NumPy, SciPy, scikit-learn, XGBoost or TensorFlow
  • have experience in machine learning using advanced algorithms and architectures to tackle regression, classification or time series forecasting problems (skills in MLOps on AWS are a great plus)
  • are familiar with databases and SQL, especially Redshift, PostgreSQL or Spark, either to support your own explorative data analysis or to generate insights for key stakeholders
  • have already ventured into the areas of NLP, text mining or network analysis to surface crucial information hidden deeply in the data

Our Data Team is ready and waiting with ...

  • a unique possibility to use an immense amount of data and work on designing, developing, validating, and deploying data driven products to improve logistics processes
  • challenging questions which you will answer through independent research, evaluation and usage of modern processes and methods from the area of predictive analytics, machine/deep learning and artificial intelligence
  • close collaboration with Data Engineers to optimize and broaden the usage of big data infrastructure and data modelling
  • direct cooperation on shaping current and new company products with product management colleagues
  • friendly recruitment process giving you the change to show your abilities and attitude as well as getting to know us and the content of your future job
  • security of a permanent position in a successful market leading company

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