Looking for GESTRA products and services?

Join the Team

Data Scientist (gn*) - Connected Services

GESTRA is a leading manufacturer of valves and control technology for the steam and condensate industry. We develop, produce and distribute at our headquarters in the heart of Bremen's Findorff district.

Our products are used wherever steam is generated, distributed or used, gases or liquids flow, energy savings are possible and operational safety and environmental protection play a role.  We focus on providing our customers with complete solutions and systems of high reliability.

What is it about? High quality product solutions and services for steam and condensate systems. Our brand looks back on more than 100 years of history and is currently noticeably on the way forward.

Would you like to grow with us? 

Then we look forward to receiving your application!

Key information

  • Location: Germany
  • Business Area: Research and Development, Product Management
  • Closing Date:

How To Apply

To apply for this position, please send your application documents with your salary expectations and earliest starting date to:

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Data Scientist (gn*) - Connected Services



  • Refine (clean) aggregate and interpret data in preparation for analysis
  • Deliver automated (including AI enabled) reports including advisories and notifications as part of the Gestra Cloud application
  • Build reusable solutions and implement best practice Data science framework / processes
  • Develop predictive insights to determine steam system condition and optimize its performance
  • Use advanced machine learning methods and discovery analytics to solve challenging problems in steam systems and identify solutions based on raw data
  • Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
  • Establish new systems and processes and look for opportunities to improve data flow



  • Bachelor’s / Master’s degree or equivalent in Mathematics, Statistics, Engineering, Data Science or other related fields
  • Programming Languages: SQL and non-SQL, R, Java, Python, MATLAB, Spark, Kafka or equivalent tools
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
  • Experience of using Cloud technologies e.g. Azure or AWS
  • Excellent analytical and problem-solving skills
  • Experience using various insights tools (e.g. PowerBI)
  • Strong verbal /written communication and data presentation skills (PowerPoint or similar)
  • Excellent communication skills, fluent written and spoken English


*gn = For reasons of linguistic simplification, the female and male form is used in this call for applications. However, persons of all genders are always meant equally.