Description:

In order to further develop our extensive portfolio of automated and cloud-based analysis methods for satellite data for government and private-sector applications in the agricultural sector, we are looking to expand our team with the addition of an further Geospatial Data Scientist in the Domain of Soil Moisture Modelling.

After your task-based induction period, you will work in an international environment with technically demanding and professionally diverse tasks relating to our multi-layered geographic information solutions. Our team, like our company, is characterised by technological independence, broad expertise, innovation and solidity. You will become part of the team and help design and make decisions about new solutions.

 

Your tasks:

  • Provision of professional and technical support for our geoinformation solutions in the agricultural sector
  •  Download, processing and analysis of satellite data using platform-specific APIs
  •  Processing and analysis of gridded soil data, meteorological & hydrological data
  •  Implementation/adaption of modular automated processing chains in cloud environments
  •  Requirements analysis, conceptual outline, process documentation and reporting

 

What to expect:

  • A responsible and varied job in an international working environment
  • Comprehensive support when you start at GAF, as part of our mentoring programme
  • Training and development - your experience and knowledge count
  • A respectful, friendly and modern working environment in a team of committed colleagues
  • A leadership style based on trust
  • Flexible working hours as part of our flexitime policy, to make it easier to combine work and your private life
  • Company pension scheme (optional), travel health insurance with worldwide coverage
  • Occupational health management
  • Excellent public transport connections
  • An attractive location in the western part of central Munich, with great opportunities for outdoor activities and recreation, including in the close vicinity
  • ... and, last but not least: be your own barista! Free fair trade organic coffee made in our traditional Italian espresso machine, a real treat!

 

Requirements:

Your profile:

  • University degree in agriculture, geosciences or geoinformatics
  • Advanced skills in R or Python, with sound knowledge of data analysis and data visualisation
  • Sound methodological and application knowledge in geospatial data processing and hydrological modelling
  • Familiarity with statistical analysis, time series analysis, machine learning, PostgreSQL and forecasting
  • C2/C1 Level in English, German is of advantage
  • You enjoy working in teams, in which you take responsibility for your specific area

 

Duration:

Further information:

  • Start date as soon as possible
  • The position is initially for a period of 2 years, with the subsequent option of a permanent contract
  • Full-time position, 40 hours per week

 

Please contact:

Olivia Deuter

Email:

recruitingatgaf [dot] de

 

Phone:

+49 (0) 89 121528 - 0

Further details:

Would you like to work with us?

Then we look forward to receiving your application. Please send a motivation letter, CV and any other useful supporting documents, along with your (gross) salary expectations and your earliest possible availability to start, to recruitingatgaf [dot] de. Please state „Geospatial Data Scientist in the Domain of Soil Moisture Modelling“ as the subject of your e-mail.