• Experience with common data science toolkits, such as R, Matlab, Python related etc.
• Experience with data visualisation tools, such as QlikView, D3.js, GGplot, etc.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Understand the high level problem and provide set of solutions to solve it using machine learning or otherwise
• Develop ready-to-use production grade geospatial AI models, tools, and solutions