Associate Director – Agricultural Modeling

Howden, A Chart Industries Company

. Execute all aspects of agriculture modeling, including data preparation and validation, portfolio analysis and postprocessing, reporting of results, data visualization and mapping .

Posted 10/15/2026full-timeRemote • United StatesSenior💰 $100,000 - $145,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in agricultural modeling, including crop yield prediction and risk assessment using statistical and machine learning techniques. Proficient in data analysis and visualization, with strong communication skills to convey complex concepts to diverse audiences.

Highest-signal resume keywords

Statistical ModelingMachine LearningData VisualizationPython ProgrammingCrop Yield Forecasting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisPredictive ModelingSimulation ModelsStochastic Yield SimulationOptimization Techniques

Soft Skills

Organizational SkillsCommunication Skills

Tools & Technologies

RData Manipulation Tools

Industry Keywords

US Crop Insurance MarketWeather DatasetsClimate Datasets

Tech Stack

Tools & technologies

PythonRemote Sensing

About the role

Key responsibilities & impact

Execute all aspects of agriculture modeling, including data preparation and validation, portfolio analysis and postprocessing, reporting of results, data visualization and mapping
Develop crop yield models for major U.S. crops including corn, soybeans, wheat, cotton, sorghum, rice, and specialty crops
Design stochastic yield simulation frameworks using probabilistic techniques
Implement machine learning, statistical, and hybrid approaches for yield prediction and risk assessment
Develop in-season crop yield forecasting models using weather observations, climate forecasts, remote sensing data, vegetation indices, soil moisture measurements, and other agricultural datasets
Improve analytical processes to achieve greater efficiency and better results for clients
Work closely with internal and external stakeholders to address client and market needs
Present results and respond to queries on exposure data, real-time updates, model validation, view of risk, portfolio profitability and optimization

Requirements

What you’ll need

4+ years of research and quantitative modeling experience in developing statistical, predictive and/or simulation models
High level of proficiency in data analysis, manipulation, and visualization tools
Strong programming background, preferably Python and/or R
Ability to independently formulate research questions and execute analytical studies
Strong organizational skills, including the ability to manage multiple tasks and projects simultaneously in a fast paced and results-driven environment
Excellent oral and written communication skills and ability to explain technical concepts succinctly to a non-technical audience
Bachelor’s or advanced degree in physics, mathematics, statistics, engineering or a related technical discipline (advanced degree preferred)
Knowledge of US crop insurance market preferred
Experience in optimization techniques desirable
Experience working with weather and climate datasets would be a plus
Legally authorized to work in the US

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Wellbeing offers
Competitive salary
Generous PTO
401k with company match
Paid volunteer days
Reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment