Data Scientist Geospatial Analytics

Bunge Limited


Job Location:

Chesterfield, NH - USA

Monthly Salary: Not Disclosed
Posted on: 8 hours ago
Vacancies: 1 Vacancy

Job Summary

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 Bunges 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 worldwide 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 companys 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 Bunges 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 Youll 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 datasets
Develop geospatial indicators such as NDVI anomalies crop classifications and yield signals to support trading and commercial decisions
Leverage cloud infrastructure (e.g. Google Cloud Platform AWS) for large scale geospatial data processing
Utilize platforms and tools including Google Earth Engine BigQuery and Python based analytics pipelines
Apply 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 analysis
Monitor evaluate and continuously refine deployed models and analytics to ensure sustained accuracy and measurable business impact
Clearly 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 management

Skills/Experience Requirements:
Masters degree or higher in Remote Sensing Statistics Computer Science or a closely related quantitative field
Minimum of 5 years of professional experience in remote sensing geospatial analytics or agricultural data science
Advanced proficiency in Python (e.g. pandas NumPy scikit learn statsmodels TensorFlow GeoPandas rasterio)
Strong SQL skills for data extraction manipulation and analysis across large datasets
Solid understanding of geospatial data systems projections and large scale processing workflows
Demonstrated ability to translate complex data and models into practical agricultural commercial or market insights
Excellent communication and presentation skills with the ability to explain complex analytical concepts clearly and concisely
Highly detail oriented proactive and self motivated with the ability to work both independently and collaboratively in a fast paced global environment


Preferred Skills/Experience:
Background in agriculture crop modeling or commodity research
Experience working with radar data and vegetation indices
Exposure to yield modeling acreage estimation or crop classification workflows
Knowledge of agricultural commodity markets (e.g. grains oilseeds biofuels) and agronomic concepts


Bunge 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 of 34000 dedicated employees partner with farmers across the globe to move agricultural commodities from where theyre grown to where theyre neededin 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 .

Every day our people exemplify these values which represent Bunge at its core:


We Are One Team Collaborative Respectful Inclusive
We Lead The Way Agile Empowered Innovative
We Do Whats Right Safety Sustainability With Integrity

If this sounds like you join us! We value and invest in people who believe in our purpose and are excited to live it every day people who are #ProudtoBeBunge


Required Experience:

IC

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 Bunges success particularly in the dynamic agricultural markets. This the reason why Bunge has one of the larg...

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We connect farmers to consumers to deliver essential food, feed and fuel to the world.

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