CareerPlanSign in

Agricultural Scientist

Auckland💼 Full-time🗓 2026-08-14 → 2026-09-30

Core

Provide agricultural scientific expertise to shape predictive systems for grazing-based agriculture, translating biological understanding into hypotheses and ensuring model predictions remain biologically realistic.

Role type

Senior Agricultural Scientist (Agricultural Technology)

Builds

Predictive systems and novel solutions for physical-world modelling in grazing agriculture

Domain

Agriculture + Machine Learning / Data Science

Deliverable

production ML models

Required skills

Agricultural science, grazing systems knowledge, experimental design, scientific investigation, data interpretation, communication with technical teams

Preferred skills

Data science experience, predictive modelling, machine learning applications, precision agriculture, large dataset analysis, remote sensing, sensor technologies

Technologies

Machine learning frameworks, data pipelines, remote sensing tools, sensor technologies

Responsibilities

Translate biological understanding into testable hypotheses for ML models; Design and execute scientific investigations to validate new ideas; Interpret model behavior to identify improvement opportunities; Collaborate with ML engineers and product managers on model development; Define measurement protocols for data capture and model validation

Seniority

Senior, hands-on IC

Sourced via ashby · Listed on CareerPlan, which tracks 877,000+ jobs from 20+ sources.