Data Scientist - Agriculture
Core
Analyze historical biological field trial data to uncover patterns and deliver data-driven insights for active ingredient development in crop protection.
Role type
Data Scientist (Agriculture/Crop Protection)
Builds
Data-driven insights for novel crop protection solutions and predictive field trialing.
Domain
Agriculture, Crop Protection, Biological Sciences
Deliverable
production ML models | dashboards & analysis
Required skills
Python (data science, analytics, ML, deep learning), statistical analysis, machine learning, data visualization, scientific domain knowledge (biology/ecology/environmental sciences), generative AI (genAI) approaches
Preferred skills
Experience with physical chemistry, biokinetic, or formulation data, experience deploying applications tailored to shareholder needs
Technologies
Python, generative AI (genAI)
Responsibilities
Analyze impact of product formulations, rates, mixtures, agricultural practices, and environmental conditions on product performance; Support domain experts in understanding product performance and identifying analytics opportunities; Interpret physical chemistry, biokinetic, formulation, marketing, and environmental data to support decision taking; Guide technical managers in designing field trials aimed at validating scientific hypotheses and model predictions; Work with R&D IT and software developers to improve data-models integrations and deploy applications; Monitor and explore new modelling approaches, analytical tools, and methodologies; Engage with high-priority digital transformation projects to accelerate the impact of data science for predictive field trialing
Seniority
Mid-Senior, hands-on IC