Data Scientist
Remote
Python AWS Kubernetes experience Must have Geospatial Data and Application experience
Through end of 2024 with extension through 2025
Candidate would be focused on processing and analysis of geospatial on-farm data sources, using at a minimum Midas and Trino databases to extract reliable, actionable information from these data.
Python and pipeline coding for Midas Engine and the use of Midas Model API would be key tools. Additional tools that may be required could include the weather pillar, GSI API and NSL resources.
Candidate would be asked to develop and implement algorithms and strategies that improve on-farm data quality, extract on-farm data value and leverage it for added value to related toolsets.
High level of skills with Python and geospatial applications. Ideal candidate would have some experience in precision agriculture or related technologies. Number of years of experience is less important than the scope of experience in this role.
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