ChatGPT Jobs · 1 day ago
Computation Agronomy Scientist
United States
Full-time
Remote
Entry, Mid Level
2+ years expSyngenta Group is a global community of innovators in agricultural technology. They are seeking a Computation Agronomy Scientist to combine agronomic expertise with data science skills to develop intelligent recommendation systems that optimize the use of their products.
Computer Software
Responsibilities
Develop and implement agronomic models and data-driven recommendation systems for crop management practices, including product selection and timing, planting decisions, fertilization, irrigation, and harvest timing optimization
Design, build, and validate predictive models to support the Crop Protection portfolio, including fungicides, insecticides, herbicides, seed treatments, and biologicals
Analyze and integrate diverse agricultural datasets (field trial data, weather information, soil characteristics, pest monitoring data, agronomic scouting records) to generate actionable insights and support product development
Create data processing pipelines using Python to clean, transform, and analyze agricultural datasets, leveraging generative AI to automate tasks and optimize workflows
Communicate model outcomes and analytical findings effectively to technical and non-technical stakeholders through presentations, visualizations, and technical documentation
Qualification
Required
MS degree in Agronomy or related agricultural sciences with demonstrated experience in agricultural systems, applied data science, and technology (PhD preferred)
Minimum 2 years of professional/academic experience in agricultural research, crop consulting, digital agronomy, or related roles involving data analysis, model building and validation, and agronomic decision-making
Proficiency in Python and/or R programming, with experience in data analysis, forecast models, and visualization tools
Demonstrated knowledge of computational and applied statistical methods, including AI/ML techniques such as supervised learning, time series forecasting, clustering, segmentation, and Bayesian inference
Deep knowledge of crop production systems (soybeans, corn, wheat, cotton, canola), including agronomic management practices, growth stages, yield-limiting factors, and crop protection practices
Strong understanding of pest management, including pest and pathogen lifecycles, economic thresholds, ROI concepts, IPM principles, and disease modeling for outbreak forecasting
Preferred
Experience with epidemiology or disease ecology
Familiarity with crop simulation models (DSSAT, APSIM) and geospatial datasets
Experience working in cloud environments (Amazon SageMaker) and collaborating with data engineers and ML engineers to deploy model solutions
Knowledge of Agile software development principles and related tools
Demonstrated ability to leverage generative AI tools (ChatGPT, Claude, GitHub Copilot) to enhance productivity and accelerate problem-solving
Practical knowledge of field-level agronomic research protocols, IoT devices, sensors, and field monitoring techniques
Benefits
Medical
PTO
Comprehensive benefits package that starts from day one, including health and wellness coverage tailored to your location.
Generous annual leave entitlement, learning and development opportunities, wellness programs, employee assistance programs, and additional benefits in accordance with local practices.
Company
ChatGPT Jobs
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2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase