Applied Research Scientist

Full-Time

Key Responsibilities

Data Platform Design and Architecture

• Own the end-to-end conceptual design of the agricultural data platform, including dataset prioritization, data schemas, metadata standards, and interoperability considerations.
• Identify critical categories of agricultural data (e.g., agronomic, environmental, behavioral, operational, and outcome-related) required to support AI model development, evaluation, and deployment.
• Translate research and operational objectives into coherent data architectures that can be implemented and maintained at scale.

Data Collection and Incentive Design

• Design incentive mechanisms and participation models that encourage high‑quality, reliable data contribution from diverse stakeholders, including farmers, implementers, and partner organizations.
• Assess trade‑offs between data quality, cost, burden, and coverage, and incorporate these consideration...