Data Scientist - Trialing and Operations

Syngenta Seeds is one of the world’s largest developers and producers of seed for farmers, commercial growers, retailers and small seed companies. Syngenta seeds improve the quality and yields of crops. High-quality seeds ensure better and more productive crops, which is why farmers invest in them. Advanced seeds help mitigate risks such as disease and drought and allow farmers to grow food using less land, less water and fewer inputs.

Syngenta Seeds brings farmers more vigorous, stronger, resistant plants, including innovative hybrid varieties and biotech crops that can thrive even in challenging growing conditions.

Syngenta Seeds is headquartered in the United States.

The Applied Analytics team is seeking an innovative Data Scientist to support operational effectiveness within the Temperate Hub. In this role, you will drive efficiency in breeding operations, resource allocation, and strategic planning by combining advanced mathematical optimization techniques with practical agricultural operations.

Accountabilities:

• Develop and implement strategies to optimize planting and harvest operations, equipment utilization, and seed movement logistics within the Temperate Hub.
• Create statistical models and forecasts for resource requirements and capacity planning based on volume projections.
• Model and assess risks for proposed operational changes and deliver data-driven process improvement recommendations focused on efficiency, data quality, and overall effectiveness.
• Collaborate with cross-functional teams to identify opportunities for optimization, automation, and standardization, and implement solutions that support strategic decision-making.
• Consistently document and communicate findings to stakeholders to drive data-driven decision-making and innovation in trial and operations activities.

Required:

• Master's or PhD in Operations Research, Data Science, Plant Breeding, Statistics, or related field.
• 3 years of proven industry experience in either a commercial or academic setting.
• Advanced knowledge of mathematical optimization techniques (linear programming, mixed-integer programming, constraint programming, and hybrid techniques), statistical modeling and forecasting, and Monte Carlo simulation methods.
• Proficient programming skills in R, Python, or other languages.
• Experience with mathematical optimization software such as Gurobi, CPLEX, etc.
• Familiarity with version control, software reproducibility tools, and cloud-based development environments.

Desired:

• Experience with visualization tools (R Shiny, Tableau, etc.).
• Technical understanding of commercial plant breeding operations.

What We Offer:

• A culture that celebrates diversity & inclusion, promotes professional development, and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs.
• Full Benefit Package (Medical, Dental & Vision) that starts your first day.
• 401k plan with company match, Profit Sharing & Retirement Savings Contribution.
• Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits.

Syngenta has been ranked as a top employer by Science Journal. Learn more about our team and our mission here: https://www.youtube.com/watch?v=OVCN_51GbNI

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.

WL: 4A

#LI-Hybrid #LI-DO1