Syngenta · 1 day ago
Computation Agronomy Scientist
United States
Full-time
Remote
Entry, Mid Level
2+ years expSyngenta is a global agricultural technology partner with a legacy of excellence. They are seeking a Computational Agronomy Scientist to develop intelligent recommendation systems and decision support models that optimize the use of their Seed and Crop Protection products, working with interdisciplinary teams to deliver data-driven agricultural innovations.
AgricultureFarming
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
Health and wellness coverage tailored to your location
Generous annual leave entitlement
Learning and development opportunities
Wellness programs
Employee assistance programs
Additional benefits in accordance with local practices
Company
Syngenta
Syngenta is an agriculture company provides products and solutions to help farmers achieve global food security for a growing population. It is a sub-organization of Syngenta Group.
10001+ employees
H1B Sponsorship
Syngenta has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (1)
Funding
Current Stage
Public CompanyTotal Funding
$2.97MKey Investors
Scottish Enterprise
2025-05-29Grant· $2.97M
2016-02-04Acquired
2000-11-13IPO
Leadership Team
Fabio Neufeld
Head of Financial Solutions
Jean Albert
Global Head Crop Protection R&D Technology Acquisition & Collaboration Management
Recent News
2026-01-21
2026-01-20
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