Hybrid Agronomic Data Analyst

Posted last month

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About the role

  • 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

Benefits

  • Flexible work arrangements
  • Professional development
  • Opportunity to work with a global team

Job title

Agronomic Data Analyst

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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