Description:

We would like to further expand our extensive portfolio of automated and cloud-based satellite data analysis methods for government and private sector applications in the agricultural sector and are seeking to expand our team with a 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, helping to design and make decisions about new solutions with room to be innovative as well.


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

 

Benefits:

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, environmental sciences, geography or geoinformatics
  • Advanced skills in the use of R or Python programming languages, with sound knowledge of data analytics and visualisation
  • Sound methodological and application knowledge in geospatial data processing, modelling and mapping soil properties, and hydrological processes within a soil root zone
  • Relevant experience in or understand soil moisture dynamics, other soil processes and how soil properties are influenced by other environmental factors
  • Familiarity with techniques such as: Statistical analysis, Time series analysis, Machine learning, PostgreSQL, Docker and forecasting spatial variables
  • Experience in managing big data, spatial tiling systems and parallelizing data process-chain for automation
  • Skilled in the use of radar satellite images (e.g. Sentinel-1) and other global repositories (e.g. ERA5, SMAP) is considered an advantage
  • C2/C1 Level in English, German is of advantage
  • You are organized, able to manage and prioritize multiple tasks within deadlines
  • You enjoy working in teams, in which you take responsibility for your specific area
  • You enjoy both product operationalization and developer roles

 

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:

Ms 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 highlighting your skills and experiences as per the job’s requisite, a 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.