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Halter

Data-driven pasture management for dairy farms

Agricultural Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeAuckland, New ZealandNo salary listedIn-person

About the Job

Requirements

  • A Master of Science or PhD in Agricultural Science, Agronomy, Animal Science, Plant Science, or a related discipline.
  • Significant experience applying agricultural science to solve real-world problems.
  • A strong understanding of grazing systems and agricultural production.
  • Experience designing, conducting, and interpreting scientific investigations.
  • The ability to explain complex scientific concepts to multidisciplinary teams.
  • The ability to influence technical decisions through expertise rather than authority.

Responsibilities

  • Apply agricultural science to improve existing predictive systems and identify opportunities for new products.
  • Translate biological understanding into hypotheses that can be evaluated through data and machine learning.
  • Provide scientific guidance during model development to ensure predictions remain biologically realistic.
  • Interpret model behaviour and identify opportunities for improvement.
  • Design and execute scientific investigations that improve model performance and product capability.
  • Identify new measurements, datasets, and signals that could enhance predictive systems.
  • Define measurement protocols for capturing validation models to facilitate model training and evaluation.
  • Evaluate emerging agricultural research and assess its applicability to products.
  • Contribute to the scientific validation of new modelling approaches.
  • Partner with Machine Learning Engineers throughout the model development lifecycle.
  • Work with Data Operations to define data requirements and improve dataset quality.
  • Support Product Managers in evaluating scientific opportunities and trade-offs.
  • Collaborate with customer-facing teams to understand field observations and convert them into research questions.
  • Build relationships with external researchers and subject matter experts where appropriate.

Desired Qualifications

  • Experience working with data science, predictive modelling, or machine learning applications.
  • Experience within agricultural technology or precision agriculture.
  • Strong quantitative and analytical skills.
  • Experience working with large datasets to support scientific investigations.
  • Experience in a commercial technology company or startup.
  • Scientific publications or recognised technical contributions.
  • Existing relationships within the agricultural research community.
  • Experience collaborating with software engineering or product development teams.
  • Familiarity with remote sensing, sensor technologies, or digital agriculture.

About the Company

Halter

Data-driven pasture management for dairy farms

Halter provides data-driven pasture management for dairy farms. It delivers daily updates on pasture covers, growth rates, and leaf emergence by combining satellite imagery, local weather, biophysical models, grazing data, and seasonal trends. Farmers use the information to decide where and when to graze, optimize fencing and shifting of livestock, and allocate pasture efficiently to boost animal performance. The platform also hosts a community where farmers share experiences and best practices. Halter’s subscription-based service gives farmers ongoing access to the data and tools they need to run their operation more productively and profitably. Goals include helping farmers maximize pasture use and animal productivity, improve resilience to environmental changes, and build a collaborative farming community.

Company size
501-1,000
Company stage
Series E
Total funding
$428M
Headquarters
Auckland, New Zealand
Founded
2016

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