[Remote] Computation Agronomy Scientist

Note: The job is a remote job and is open to candidates in USA. Syngenta 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. 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 Skills • 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 • 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 Overview • 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. It was founded in 2000, and is headquartered in Basel, Basel-Stadt, CHE, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship • Syngenta has a track record of offering H1B sponsorships, with 1 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job