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Senior Agronomical Engineer - South America Crop Forecasting(m/w/x)
Building proprietary crop production forecasts for a global quantitative investment manager, analyzing soybean, corn, and wheat development. Postgraduate qualification in quantitative data science and professional experience with South American crop production systems required. Focus on remote sensing and geospatial agricultural datasets, with advanced Python modelling.
Anforderungen
- Degrees in Agronomical Engineering and Agronomy or related field
- Postgraduate qualification in quantitative data science or analytics
- Professional experience in South American soybean, corn, and/or wheat production systems
- Experience with remote sensing and geospatial agricultural datasets
- Advanced proficiency in Python and applied statistical modelling
- Ability to independently integrate field agronomy with quantitative forecasting frameworks
Aufgaben
- Develop proprietary production forecasts
- Validate proprietary production forecasts
- Analyze crop development in Brazil, Argentina, Paraguay, Uruguay
- Assess planting progress and crop phenology
- Evaluate yield formation
- Monitor pest and disease pressures
- Assess climate risks
- Generate structured forecasts using statistical and ML models
- Collect ground-truth data via field visits
- Evaluate crop conditions and management practices
- Maintain regional agronomic networks
- Validate satellite-derived indices
- Integrate satellite/drone imagery with geospatial data
- Apply advanced statistical methods
- Refine proprietary forecasting models
- Address structural biases from crop calendars
- Address structural biases from double-cropping systems
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
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Senior Agronomical Engineer - South America Crop Forecasting(m/w/x)
Building proprietary crop production forecasts for a global quantitative investment manager, analyzing soybean, corn, and wheat development. Postgraduate qualification in quantitative data science and professional experience with South American crop production systems required. Focus on remote sensing and geospatial agricultural datasets, with advanced Python modelling.
Anforderungen
- Degrees in Agronomical Engineering and Agronomy or related field
- Postgraduate qualification in quantitative data science or analytics
- Professional experience in South American soybean, corn, and/or wheat production systems
- Experience with remote sensing and geospatial agricultural datasets
- Advanced proficiency in Python and applied statistical modelling
- Ability to independently integrate field agronomy with quantitative forecasting frameworks
Aufgaben
- Develop proprietary production forecasts
- Validate proprietary production forecasts
- Analyze crop development in Brazil, Argentina, Paraguay, Uruguay
- Assess planting progress and crop phenology
- Evaluate yield formation
- Monitor pest and disease pressures
- Assess climate risks
- Generate structured forecasts using statistical and ML models
- Collect ground-truth data via field visits
- Evaluate crop conditions and management practices
- Maintain regional agronomic networks
- Validate satellite-derived indices
- Integrate satellite/drone imagery with geospatial data
- Apply advanced statistical methods
- Refine proprietary forecasting models
- Address structural biases from crop calendars
- Address structural biases from double-cropping systems
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
Über das Unternehmen
Qube Research & Technologies
Branche
Agriculture
Beschreibung
The company is a global quantitative and systematic investment manager, implementing a scientific approach to investing.
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