Applied Science (Agronomy)

Santa Fe, NM or San Francisco, CA or New York, NY
With streamlined access to petabytes of science-ready geospatial data and the computing power to go with it, the Applied Science team at Descartes Labs is building a digital twin of the earth.  We model our planet by combining sensor data with a mix of physical, statistical, and machine learning modeling approaches.

We’re looking for agronomists to apply this data and computing power towards interesting agricultural applications on a global scale.


    • Use our archive of satellite imagery, weather data, and other geospatial datasets to model agricultural crops around the world (crop identification, crop yield, etc.)
    • Design, build, test, and validate models within a cloud-based environment
    • Work with clients to provide meaningful scientific analysis for a variety of stakeholders  
    • Interact with clients to brainstorm methodologies and present results
    • Work with our engineering team to continuously improve our platform

Required Skills and Experience

    • Bachelor’s degree in a relevant scientific field (e.g. agronomy, agricultural sciences, biostatistics, earth sciences)
    • Strong statistical background
    • Experience with spatial data
    • Demonstrated proficiency in a scientific programming language (preferably Python)
    • Strong written and verbal communication skills
    • Self-motivated and able to work independently


    • Advanced degree (MS/PhD) in a relevant field
    • Image processing experience
    • Experience with remote sensing
    • Experience with numpy, sklearn, scikit-image
    • Peer-reviewed published journal articles on related topics
    • Experience with version control software (e.g. GitHub, Mercurial, Subversion, etc.)
    • Experience with cloud and/or distributed computing