Computation Agronomy Scientist

Syngenta; A distancia; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A global agricultural technology firm is seeking a Computational Agronomy Scientist to join its team in Madrid. This role combines agronomic expertise with data science skills to optimize the use of agricultural products. The ideal candidate will develop intelligent recommendation systems and collaborate with interdisciplinary teams to create impactful solutions. A Master's degree in Agronomy or related field is required, along with at least 2 years of experience in agricultural research or crop consulting. Flexible working arrangements and competitive salary offered.

Servicios

Work/life balance initiatives

Flexible working arrangements

Competitive salary and benefits

Learning development options

Formación

• MS degree in Agronomy or related agricultural sciences with experience in agricultural systems and data science.
• Minimum 2 years of experience in agricultural research or crop consulting.
• Proficient in English communication skills for international collaboration.

Responsabilidades

• Develop agronomic models and recommendation systems for crop management.
• Design and validate predictive models for Crop Protection products.
• Analyze agricultural datasets for actionable insights.

Conocimientos

Proficiency in Python and/or R programming

Data analysis

AI/ML techniques

Communication skills

Educación

MS degree in Agronomy or related agricultural sciences

Herramientas

DSSAT

APSIM

Amazon SageMaker

Descripción del empleo

Company Description

At Syngenta Group, we’re a global community of 56,000 innovators across 90 countries, united by a 250-year legacy of agricultural excellence. As the world’s most local agricultural technology partner, we create tailor‑made solutions that transform farming while protecting our planet, driven by our commitment to innovation, ethics, and integrity. Through our inclusive environment and diverse perspectives, we pioneer breakthrough solutions for farmers, society, and future generations. Join our worldwide teams of agricultural pioneers in creating a more resilient and equitable food system for all.

Job Description

We are seeking a Computational Agronomy Scientist to join our Global Computational Agronomy Team. This role combines agronomic expertise with data science skills to develop intelligent recommendation systems and decision support models that optimize the use of Syngenta Seed and Crop Protection products. Working with interdisciplinary teams including agronomic scientists, data scientists, engineers, and digital product managers, you will create digital solutions that deliver value to customers worldwide through practical, data‑driven agricultural innovations.

• 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.

Required Qualifications

• Education: MS degree in Agronomy or related agricultural sciences with demonstrated experience in agricultural systems, applied data science, and technology (PhD preferred).
• Experience: 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.
• Proficient English language communication skills (written and verbal) for collaboration with international teams.

Technical skills

• 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.

Agronomic knowledge

• 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.

Desired Qualifications

• 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.

Additional Information

• Candidates must be legally authorized to work in the country.
• Remote working is possible within the country.

What We Offer

• A culture that promotes work/life balance, celebrates diversity and offers numerous events throughout the year.
• Flexible working arrangements.
• Competitive salary and benefits package.
• A role that contributes to valuable and impactful work in a stimulating and international environment.
• Learning culture and a wide range of development options, including access to learning platforms (Degreed and LinkedIn Learning)

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.