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Agronomy Engineer

Science | New York, NY | Full Time

Job Description

Join us as we transform agriculture by democratizing data. Our global team is ‘providing data, driving progress’ - establishing the informational infrastructure necessary to increase agricultural efficiency in Africa and beyond. Our platform aggregates, deciphers and analyzes complex agricultural data while creating informative visualizations. We’re creating the tools necessary for governments, investors, banks, farmers, agricultural input providers, and others to make better decisions—decisions that can make food cheap and abundant for everyone.

Gro Intelligence is backed by venture capital and seasoned commodity investors. We are at an exciting time of hyper-growth with US headquarters in New York City and international headquarters in Nairobi, Kenya. Our global team is diverse, hardworking, ambitious—and growing! We’re looking for outstanding, collaborative, data-loving agronomy engineers for both offices.   

Responsibilities:

We are hiring an Agricultural Engineer to join the Gro Intelligence US headquarters in New York City to:

  • Develop the agriculture frameworks that will govern our computational models and visualization tools.

  • Research and develop not only agronomic development and yield models but also weather patterns and their interplay with agricultural productivity.

  • Partner with the Gro Intelligence data engineers and machine learning specialists to develop proprietary models.

  • Work closely with specialists in the field to further not only internal product development but also external collaborations.

Requirements:

  • 2+ years of experience with agricultural datasets, data aggregation, assessment and reporting.

  • Deep understanding of agronomy, including weather and crop dynamics on a global basis and a basic understanding of computer science.

  • Strong research background working with geospatial datasets and the use of remotely sensed data in modeling natural resources 

  • Familiarity major crop models or modeling platforms (e.g. WOFOST, CERES, EPIC, DSSAT, FEWSNET).

  • Passion for enabling global food security through data driven tools and the ability to converse with growers about upcoming weather risks and growth stages of crops.

  • Graduate level degree (M.S./Ph.D) in Agricultural Engineering, Geospatial Science, or related discipline.