Bunge
Senior Analyst Global Softseeds(m/w/x)
Full-timeOn-siteSenior
Genf
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QUQube Research & Technologies
Senior Agronomical Engineer - South America Crop Forecasting(m/w/x)
Genf
Full-timeOn-siteSenior
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Qube Research & Technologies and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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QUQube Research & Technologies
Senior Agronomical Engineer - South America Crop Forecasting(m/w/x)
Genf
Full-timeOn-siteSenior
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Qube Research & Technologies and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Qube Research & Technologies
Industry
Agriculture
Description
The company is a global quantitative and systematic investment manager, implementing a scientific approach to investing.
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