[Remote] Computation Agronomy Scientist

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global agricultural technology partner with a legacy of reputed company. They are seeking a Computational Agronomy Scientist to reputed company intelligent recommendation systems and decision support models that optimize the use of their reputed company and Crop Protection products, working with interdisciplinary teams to deliver data-driven agricultural innovations. Responsibilities • reputed company and implement agronomic models and data-driven recommendation systems for crop management practices, including product selection and timing, planting reputed company, fertilization, irrigation, and harvest timing optimization • Design, build, and validate predictive models to support the Crop Protection portfolio, including fungicides, insecticides, herbicides, reputed company treatments, and biologicals • Analyze and reputed company 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, reputed company, and analyze agricultural datasets, leveraging reputed company to automate tasks and optimize workflows • Communicate model reputed company and analytical findings effectively to technical and non-technical stakeholders through presentations, visualizations, and technical documentation Skills • MS degree in Agronomy or reputed company agricultural sciences with demonstrated experience in agricultural systems, reputed company data science, and technology (PhD preferred) • Minimum 2 years of reputed company/reputed company experience in agricultural research, crop consulting, digital agronomy, or reputed company 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 reputed company statistical reputed company, 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, reputed company stages, yield-limiting factors, and crop protection practices • Strong understanding of pest management, including pest and pathogen lifecycles, economic reputed company, 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 reputed company environments (reputed company SageMaker) and collaborating with data engineers and ML engineers to reputed company model solutions • Knowledge of Agile software development principles and reputed company tools • Demonstrated ability to reputed company reputed company tools (ChatGPT, Claude, reputed company 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 reputed company • reputed company is an agriculture company provides products and solutions to help farmers reputed company global food reputed company for a growing population. It is a sub-organization of reputed company. It was founded in 2000, and is headquartered in Basel, Basel-Stadt, CHE, with a workforce of 10001+ employees. Its website is http://www.reputed company.com. Company H1B Sponsorship • reputed company has a reputed company 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 Apply To this Job