Data Scientist (2)

Role Overview

We are hiring two Data Scientists to advance Super GeoAI’s AI-powered agricultural solutions. In this role, you will lead the collection, labeling, and development of AI training datasets, turning complex geospatial, drone, and agricultural data into insights that fuel next-generation products. You will design and test models, conduct deep analysis, and work closely with AI engineers, software developers, and product managers to ensure our solutions deliver measurable value to farmers, insurers, and the global agriculture sector.

Key Responsibilities

• Collect, curate, and label datasets to build high-quality AI training databases.
• Analyze and preprocess large, diverse datasets (geospatial, drone imagery, climate, and agricultural data).
• Develop and validate machine learning and statistical models to solve real-world problems in agriculture and insurance.
• Collaborate with AI engineers to refine and productionize algorithms for scalability and performance.
• Design experiments and evaluations to measure model performance, reliability, and field impact.
• Visualize and communicate findings to technical and non-technical stakeholders in clear, actionable ways.
• Translate business requirements into data-driven solutions in collaboration with product managers.
• Stay up to date with advances in data science, AI, and geospatial analytics to keep SGA’s technology at the cutting edge.

Qualifications

This isn’t just data analysis—you’ll be transforming raw data into AI-powered insights that redefine the future of agriculture.

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