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Remote Crop Modeling Jobs (NOW HIRING)

Commercial Agronomist

Albany, GA · On-site +1

$74K - $93K/yr

Experience with crop modeling, precision agriculture, and data analysis tools. * Strong ... Exciting opportunity to work with a talented and fun team #LI-Remote Hiring Compensation Range $74 ...

Work with crop modelers and data scientists to integrate UAV-based analytics into precision ... Four years of experience in agricultural remote sensing and UAV flight operations. Or, a master ...

Remote The Details: We're looking for a Software Engineer to take ownership of the systems that ... Translate that material into accurate technical requirements, data models, and application logic ...

Develop and improve machine learning models for estimating crop biophysical * properties using satellite remote sensing datasets. * Implement spatial and remote sensing data processing algorithms to ...

... nutrition, crop health, agronomy, field experimentation, harvesting, logistics, and related ... predictive models using data from field trials, laboratory analyses, farm operations, remote ...

GIS Technician 1

Ithaca, NY · On-site +1

$24.75 - $32.50/hr

... modeling strategies * Assist in crop-type/yield mapping and other mapping endeavors * Design ... Remote Sensing/Geography/Data Sciences field * Proficiency with GIS desktop software and data ...

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Remote Crop Modeling information

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$48.5K

$63.8K

$73K

How much do remote crop modeling jobs pay per year?

As of Jul 7, 2026, the average yearly pay for remote crop modeling in the United States is $63,779.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $68,500.00 per year, depending on experience, location, and employer.

What are the main challenges faced by professionals working in remote crop modeling, and how can they be overcome?

Professionals in remote crop modeling often face challenges related to integrating large datasets from various sources, such as satellite imagery, weather stations, and soil sensors. Ensuring data quality and model accuracy while working remotely requires strong data management skills and effective collaboration with agronomists, data scientists, and software engineers. Regular communication and use of collaborative platforms are essential to align project goals and share updates. Additionally, staying current with the latest modeling techniques and remote sensing technologies can help overcome technical challenges and improve predictive outcomes.

What are the key skills and qualifications needed to thrive in Remote Crop Modeling, and why are they important?

To thrive in Remote Crop Modeling, you need a strong background in agronomy, data analysis, and environmental science, often supported by a relevant degree such as agricultural engineering or crop science. Familiarity with crop modeling software (e.g., DSSAT, APSIM), remote sensing tools, and programming languages like Python or R is essential. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data and collaborate with multidisciplinary teams. These competencies ensure accurate crop predictions, informed decision-making, and the successful application of modeling insights to real-world agricultural challenges.

What is remote crop modeling?

Remote crop modeling is the use of computer simulations and remote sensing technologies, such as satellite imagery and drones, to predict and monitor crop growth, yield, and health from a distance. This approach combines data from various sources, including weather, soil, and plant characteristics, to create accurate models of crop performance. Remote crop modeling helps farmers and agronomists make informed decisions about irrigation, fertilization, and pest control, ultimately improving productivity and sustainability. It is widely used in precision agriculture to optimize resource use and reduce environmental impact.
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Data Scientist Geospatial Analytics

Data Scientist Geospatial Analytics

Bunge North America

Chesterfield, MO • On-site, Remote

Full-time

Medical, Retirement, PTO

Posted 12 days ago


Bunge rating

7.1

Company rating: 7.1 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

198th of 389 rated food and drinks producers


Job description

City : Chesterfield State : Missouri (US-MO) Country : United States (US) Requisition Number : 46371 A Day In The Life:Leveraging our inherent market intelligence is a critical component to Bunge?s success, particularly in the dynamic agricultural markets. This the reason why Bunge has one of the large economic analysis teams in the industry. Our analysis team is comprised of over 50 analysts world wide who gather, analyze, supply and demand and other pertinent information.

The global analysts work closely with global traders to help market develop market theses that drive the company?s trading and risk decisions. The team covers global grains, oilseeds, biofuels, ocean freight and livestock.The Data Scientist, Geospatial Analytics will be a core contributor to Bunge?s Global Economic Analysis team, applying data science, satellite imagery, advanced statistical modeling, and emerging generative AI techniques to generate valuable insights across global agricultural markets. This role will lead the development of scalable, satellite-based analytics that support global crop forecasting, supply chain intelligence, and commodity market analysis.

The position focuses on integrating public Earth observation data with proprietary datasets and transforming them into actionable signals that enhance our understanding of crop conditions, acreage, yield potential, and global supply-demand dynamics. What You'll Be Doing:Design, build and scale satellite-based analytics pipelines for real-time crop monitoring at globe scale;Analyze and integrate multi source datasets, including satellite imagery (Sentinel 1/2, Landsat, MODIS), weather and soil data, agricultural statistics, field level observations, and proprietary datasetsDevelop geospatial indicators such as NDVI anomalies, crop classifications, and yield signals to support trading and commercial decisionsLeverage cloud infrastructure (e.g., Google Cloud Platform, AWS) for large scale geospatial data processingUtilize platforms and tools including Google Earth Engine, BigQuery, and Python based analytics pipelinesApply AI and machine learning techniques to imagery and time series data (e.g., classification, segmentation, feature extraction, and temporal modeling)Collaborate with economists, market analysts, data engineers, and business leaders to integrate geospatial insights into market views and fundamental analysisMonitor, evaluate, and continuously refine deployed models and analytics to ensure sustained accuracy and measurable business impactClearly communicate complex analytical findings, model insights, and strategic recommendations to diverse audiences, including senior leadership and traders, to support informed decision making and global risk managementSkills/Experience Requirements:Master?s degree or higher in Remote Sensing, Statistics, Computer Science, or a closely related quantitative fieldMinimum of 5 years of professional experience in remote sensing, geospatial analytics, or agricultural data scienceAdvanced proficiency in Python (e.g., pandas, NumPy, scikit learn, statsmodels, TensorFlow, GeoPandas, rasterio)Strong SQL skills for data extraction, manipulation, and analysis across large datasetsSolid understanding of geospatial data systems, projections, and large scale processing workflowsDemonstrated ability to translate complex data and models into practical agricultural, commercial, or market insightsExcellent communication and presentation skills, with the ability to explain complex analytical concepts clearly and conciselyHighly detail oriented, proactive, and self motivated, with the ability to work both independently and collaboratively in a fast paced, global environmentPreferred Skills/Experience:Background in agriculture, crop modeling, or commodity researchExperience working with radar data and vegetation indicesExposure to yield modeling, acreage estimation, or crop classification workflowsKnowledge of agricultural commodity markets (e.g., grains, oilseeds, biofuels) and agronomic conceptsBunge offers a variety of benefits including health and wellness plans, retirement contribution and paid vacation/holidays.At Bunge (NYSE: BG), our purpose is to connect farmers to consumers to deliver essential food, feed and fuel to the world. As a premier agribusiness solutions provider, our team of34,000 dedicated employees partner with farmers across the globe to move agricultural commodities from where they?re grown to where they?re needed in faster, smarter, and more efficient ways.

We are a world leader in grain origination, storage, distribution, oilseed processing and refining, offering a broad portfolio of plant-based oils, fats, and proteins. We work alongside our customers at both ends of the value chain to deliver quality products and develop tailored, innovative solutions that address evolving consumer needs. With 200+ years of experience and presence in over 50 countries, we are committed to strengthening global food security, advancing sustainability, and helping communities prosper where we operate.

Bunge has its registered office in Geneva, Switzerland and its corporate headquarters in St. Louis, Missouri. Learn more at Bunge.com.Every day our people exemplify these values, which represent Bunge at its core:We Are One TeamCollaborative, Respectful, InclusiveWe Lead The WayAgile, Empowered, InnovativeWe Do What?s RightSafety, Sustainability, With IntegrityIf this sounds like you, join us!

We value and invest in people who believe in our purpose and are excited to live it every daypeople who are #ProudtoBeBunge


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