Company Description

Ground Insight Analytics revolutionizes agriculture and related industries by providing real-time insights through satellite imagery and advanced data analytics. Our platform empowers farmers, insurers, and commodity traders to enhance productivity, manage risks, and optimize returns. By leveraging precision agriculture solutions, we support sustainable farming practices and resource optimization. We help insurance agencies improve risk assessments and claim processes, while offering investment firms and commodity traders actionable market intelligence to make data-driven decisions.

Role Overview

We are seeking a Chief Scientist to lead the development of our core analytical models and methodologies. This role will focus on building algorithms and systems that convert satellite imagery into actionable insights for crop health monitoring, yield prediction, and environmental risk analysis.

Key Responsibilities

· Develop crop yield prediction models

· Analyze vegetation health (NDVI, EVI, and related indices)

· Build soil moisture and weather impact models

· Design change detection and land-use classification systems

· Integrate satellite, weather, and environmental datasets

· Collaborate with engineering teams to deploy scalable solutions

Qualifications

· Master’s or PhD in Geospatial Science, Agronomy, Environmental Science, or related field

· 5+ years experience in satellite imagery analysis and agricultural modeling

· Strong knowledge of remote sensing and vegetation indices

· Experience with Python, GIS tools, and Google Earth Engine

Preferred

· Experience in precision agriculture

· Background in commodity markets

· Experience with commercial satellite data providers

Compensation

· Competitive salary

· Equity (early-stage leadership role)

Why This Role Matters

This role is central to Ground Insight Analytics. The models developed will define the core value of the platform and drive long-term differentiation.