Agronomic Data Analyst at Aerobotics ensuring data quality and collaborating with Tech team. Requires strong agronomic knowledge combined with technical skills for dataset development.
Responsibilities
Review existing datasets and ideate structure/requirements for new product datasets (fruit colour, fruit defect classification, etc.)
Create and maintain labelling guidelines and quality standards
Label data and oversee labelers to ensure consistency and accuracy
Provide agronomic insights to ensure our understanding aligns with farmer understanding and industry standards
Collaborate with product and engineering teams to translate agricultural requirements into quantitative dataset specifications
Perform in-field experiments and trials to collect ground-truth data and provide feedback on data collection and user experience
Utilize in-house labelling tools and progress toward independently training models
Requirements
Bachelor's degree in Agronomy, Agriculture, Crop Science, or related field
Solid understanding of agricultural principles, crop production, and farming practices
SQL proficiency for data querying and analysis
Basic Python programming or demonstrated willingness to learn (preferred)
Strong organisational skills including attention to detail critical for ensuring data accuracy
Ability to manage multiple datasets, coordinate with labelers, and maintain clear documentation
Excellent communication skills to effectively bridge technical and agricultural teams
Analytical thinking with ability to identify patterns in agricultural data and translate field observations into quantitative insights
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