Data Scientist m/f/d
Hapag-Lloyd
Hamburg, DE
vor 3 Tg.

part-time Responsibilities and Tasks :

  • As part of our team, you will break new grounds in optimizing the business of Hapag-Lloyd with advanced analytics in diverse fields ranging from network optimizations to statistical forecasts to pricing algorithms
  • You drive analytics projects from start to end together with experts from business and IT : discover the use case, gather the data, develop the analytics algorithm, scale it to our global business on our Data Lake platform, and tell our colleagues around the world about it
  • Stay on top of the newest technologies by constantly challenging the status quo and promoting state-of-the art analytics tools within Hapag-Lloyd
  • Participate in and lead international project groups
  • Requirements and Qualifications :

  • Master, Diploma or PhD degree in mathematics, computer science, statistics, physics, engineering, economics or a related quantitative field
  • Excited about applying your technical and analytical expertise to the world of global logistics
  • Understanding of available quantitative modeling techniques and their general application and, preferably, good knowledge in at least one of the following : network analysis, linear optimization, time series analysis, or predictive analytics
  • Confident in common analytics programming languages such as Python, R or Scala
  • First experiences with cloud-based big data infrastructure and analytics tools and services such as AWS, Azure, Spark, Hadoop, etc.
  • Comfortable with working in international and interdisciplinary project teams
  • Homeoffice on selected days is possible
  • Does this sound like an interesting opportunity? If so, then come on board now and start reaping the many benefits on offer, such as international job prospects, a company pension, health and company sports programmes, capital-forming benefits and much more.

    Send us your application online and let us know how soon you could join our team. We look forward to hearing from you!

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