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Agronomic Systems Modeling Specialist

Iconma

  • Remote, IA
  • 3 days ago
  • Remote
  • $45.68–$50.68 Per Hour

Highlights

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. Understand interactions among genotype, weather, soil, management, and cropping history to clearly define modeling problems, input requirements, outputs, assumptions, and validation criteria.

Numbers & Facts

LocationRemote, IA (
Remote)
IndustryManagement Consulting Services
Salary$45.68–$50.68 Per Hour
Company Size2,000 to 2,499 employees
Year Founded2000
Websitehttps://www.iconma.com/

Description

Our Client, an Agriculture Products company, is looking for an Agronomic Systems Modeling Specialist for their Johnston, IA  location.
 
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?  

Benefits

401K, Employee Referral Program, Life Insurance

About Company

ICONMA is a global information consulting management firm providing Professional Staffing Services and Project-Based Solutions for organizations in a broad range of industries.

  • Corporate Headquarters in Troy, Michigan; 20+ locations worldwide.
  • Certified Woman-Owned Business Enterprise (WBE); certified by Women’s Business Enterprise National Council, National Women Business Owners Corporation (NWBOC); and California Public Utilities Commission (CPUC).
  • Founded in 2000
  • 2000+ Employees

The company was founded on the principle that success is derived from delivering high quality service and resources in the most responsive, flexible, and innovative way. ICONMA invests in people and resources with a single goal: To provide our customers with the highest quality service in the most responsive manner. Through its network of offices, ICONMA provides the resources to help clients maintain their competitive advantage.

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