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Agronomic Systems Engineer

Aditi Consulting

Johnston, Iowa • 3d ago

Easy Apply

Contract

$50 - $56

Job Details

Skills

Summary

Payrate: $50.00 - $56.00/hr.

Summary:
This role involves developing and implementing advanced modeling approaches for predicting outcomes of various management scenarios in corn, soybean, and cotton production systems. The position requires collaboration with agronomists, data scientists, software developers, and product managers to ensure the models are agronomically sound and scientifically defensible.

Responsibilities

Develop modeling approaches for G x E x M interactions to predict outcomes of management scenarios in diverse geographies.
Design and execute model calibration, validation, and sensitivity analyses to quantify model performance and limitations.
Understand interactions among genotype, weather, soil, management, and cropping history to define modeling problems and criteria.
Work with large, machine-generated agricultural datasets and geospatial datasets.
Develop repeatable workflows for processing, summarizing, and visualizing model outcomes.
Develop agronomic logic, constraints, and validation frameworks for AI-generated recommendations.
Collaborate with various teams to build, scale, and communicate model outcomes.

Qualifications

Experience with APSIM, DSSAT, or comparable process-based crop models for agricultural decision support.
Strong understanding of crop physiology, phenology, soil water dynamics, and nutrient cycling.
Expertise in corn and soybean production preferred.
Advanced proficiency in R and/or Python for data analysis and model development.
Experience with Databricks, SQL, cloud computing environments, and APIs.
Demonstrated experience with AI-assisted development.
Experience with large multi-environment, multi-year, or multi-management agricultural datasets.
Ability to communicate model assumptions, results, and limitations to diverse audiences.
Master’s or Ph.D. in agronomy, crop science, soil science, or a related discipline.

Skills

Experience with precision agriculture technologies and Operations Center.
Familiarity with machine-generated datasets and common agronomic data layers.
Experience in agronomic model development within the agricultural industry.
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 tools.

Pay Transparency: The typical base pay for this role across the U.S. is: $50.00 - $56.00 /hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law.

Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary.
You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC’s use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions.  Calls may be recorded.

Consent is not a condition of purchasing any property, goods, or services. You may revoke your consent at any time by replying “STOP” to messages or by contacting  .
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our .

#AditiConsulting
# 26 - 06199

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10111892
Position Id: 26-06199
Posted 3 days ago

Fitment

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Job Details

Skills

Summary

Develop modeling approaches for G x E x M interactions to predict outcomes of management scenarios in diverse geographies.
Design and execute model calibration, validation, and sensitivity analyses to quantify model performance and limitations.
Understand interactions among genotype, weather, soil, management, and cropping history to define modeling problems and criteria.
Work with large, machine-generated agricultural datasets and geospatial datasets.
Develop repeatable workflows for processing, summarizing, and visualizing model outcomes.
Develop agronomic logic, constraints, and validation frameworks for AI-generated recommendations.
Collaborate with various teams to build, scale, and communicate model outcomes.

Qualifications

Experience with APSIM, DSSAT, or comparable process-based crop models for agricultural decision support.
Strong understanding of crop physiology, phenology, soil water dynamics, and nutrient cycling.
Expertise in corn and soybean production preferred.
Advanced proficiency in R and/or Python for data analysis and model development.
Experience with Databricks, SQL, cloud computing environments, and APIs.
Demonstrated experience with AI-assisted development.
Experience with large multi-environment, multi-year, or multi-management agricultural datasets.
Ability to communicate model assumptions, results, and limitations to diverse audiences.
Master’s or Ph.D. in agronomy, crop science, soil science, or a related discipline.

Skills

Experience with precision agriculture technologies and Operations Center.
Familiarity with machine-generated datasets and common agronomic data layers.
Experience in agronomic model development within the agricultural industry.
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 tools.

Dice Id: 10111892
Position Id: 26-06199
Posted 3 days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

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