Green Agrevolution - Data Scientist

About the work:

- You'll building algorithms at field/plant level to solve real-world problems and help millions of farmers and agri-businesses with their decision making

- Build a deep understanding of existing algorithms in spatial and aerial imaging data assets

- Categorize crop health and soil health, and estimate yields

- Identify early onset of pests and diseases, build alerts and farmer/business solutions

- Evaluate different imaging platforms, datasets, and technologies

- Identify libraries and technologies that solve our problems and/or are worth experimentation

- Collaborate with agri-experts to map imagery data to recommendations; with the engineering team to scale your work

- We believe in a small and effective team - you- ll have a say in what to build and own it

About you:

- Have 1+ years of experience in image-based machine learning and/or image processing

- Come up with your own goals and don- t need heavy direction or daily check-ins

- Fluent in Python (preferred) or R, capable of framing problems as programming tasks from the ground up, as well as working with existing code

- Fluent in statistical/machine learning libraries in Python or R

- Understanding or intent to learn geospatial data formats and GIS concepts

- Experience with image-based machine learning

- Knowledge of GIS concepts and experience with vector geospatial data is a plus

- A STEM degree from top tier educational institutes