Day to Day
- High level of skills with Python and geospatial applications.
- Ideal candidate would have some experience in precision agriculture or related technologies.
- Master's degree in a related field
Project
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.
Compensation:
$50/hr to $65/hr.
Exact compensation may vary based on several factors, including skills, experience, and education.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.