IL
Agronomic Systems Modeling Specialist
ICONMA, LLC
🇺🇸 United States
Remote
1 day ago
$45.68 – $50.68 / hour
- calibration
- Python
- Databricks
- SQL
- AI
- Tableau
- Power BI
1 day ago
Responsibilities:
- Develop modeling approaches for G x E x M interactions to predict the outcomes of various management scenarios (planting date, variety selection, fertility management, crop care, etc.) in corn, soybean and cotton production systems across diverse geographies.
- Design and execute model calibration, validation, and sensitivity analyses to quantify model performance, uncertainty, and limitations across geographies, years, and management systems.
- Understand interactions among genotype, weather, soil, management, and cropping history to clearly define modeling problems, input requirements, outputs, assumptions, and validation criteria.
- Work with large, machine-generated agricultural datasets including planter, sprayer, harvest data.
- Work with large geospatial datasets including soil maps, topography, multispectral imagery, remote sensing products, and environmental data layers.
- Develop repeatable workflows for processing, summarizing, and visualizing outcomes of these models.
- Develop agronomic logic, constraints, and validation frameworks that ensure AI-generated recommendations are agronomically sound, transparent, and scientifically defensible.
- Collaborate with agronomists, data scientists, software developers, and product managers to build, scale, and communicate outcomes of these models.
Requirements:
- Exp. developing, calibrating, validating, and applying APSIM, DSSAT, or comparable process-based crop models for agricultural decision support.
- Strong understanding of crop physiology, phenology, soil water dynamics, nutrient cycling, and their influence on crop response to management and environment.
- Strong understanding of at least one major US row crop production system, with expertise in corn and soybean production preferred.
- Advanced proficiency in R and/or Python for data analysis, simulation workflows, and model development.
- Exp. working with Databricks, SQL, cloud computing environments, APIs, for scalable analytical and simulation workflows.
- Demonstrated experience with AI assisted development.
- Experience working with large multi-environment, multi-year, or multi-management agricultural datasets and developing reproducible analytical workflows.
- Ability to communicate model assumptions, results, limitations, and uncertainty to both technical and nontechnical audiences.
- Experience translating scientific models or research outputs into practical decision-support tools, recommendations, or operational workflows for growers.
- Master’s or Ph.D. in agronomy, crop science, soil science, biological systems engineering, agricultural engineering, quantitative genetics, or a closely related discipline.
- Preferred Qualifications:
- Experience with Client Operations Center and precision agriculture technologies including planting, spraying, harvest, automation, sensing, and variable-rate management systems.
- Familiarity with machine-generated datasets and common grower-facing agronomic data layers (field boundaries, management zones, digital elevation models).
- Experience working in agricultural industry with agronomic model development.
- Experience developing agronomic constraints or validation systems for AI-generated recommendations.
- Experience integrating drone and satellite data into analytics pipelines.
- Proficiency in SQL, R, Python, Tableau, Power BI, or similar tool
Why Should You Apply?
- Health Benefits
- Referral Program
- Excellent growth and advancement opportunities
Agronomic Systems Modeling Specialist · ICONMA, LLC