Syngenta Group is one of the world’s leading agriculture innovation companies, with roots going back more than 250 years. Its 48,000 people across more than 100 countries strive to transform agriculture through breakthrough products and technologies that play a vital role in enabling the food chain to feed the world safely, sustainably and with respect for our planet. Swiss headquartered and Chinese-owned, the Group draws strength from its four business units – Syngenta Crop Protection headquartered in Switzerland, Syngenta Seeds headquartered in the United States, ADAMA headquartered in Israel, and Syngenta Group China – that provide industry-leading ways to serve customers everywhere.
Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. We invite you to help us shape the future of agriculture. At Syngenta, we believe every employee has a role to play in safely feeding the world and taking care of our planet.
Role purpose
This role focuses on complex business processes and operations within Seed Development. Operational efficiency and effectiveness will be attained by developing, implementing, and maintaining algorithmic solutions based on Operations Research / Mathematical Optimization techniques.
Accountabilities
• Build and implement mathematical optimization models using linear programming, mixed-integer programming, nonlinear programming, constraint programming, and hybrid techniques.
This can also involve multi-objective and robust optimization techniques.
• Design and create user-friendly GUIs, reports, and data visualizations to facilitate the execution of data-driven optimization models and scenario comparisons by the end-user.
• Identify, collect, and structure data from different sources to specify input for optimization models. Support data architecture design and integration into a central data lake.
• Identify relevant business KPIs and metrics that drive optimization objectives.
• Run simulations to validate optimization models.
• Manage projects focused on the development and implementation of optimization solutions to support strategic decisions and day-to-day operations.
• Collaborate with various departments and communicate effectively with line-of-business end-users to review current operational systems and business procedures within seeds development, discover pain points, and identify mathematical optimization use-cases. Break them down into MVPs (minimum viable products) and apply Operations Research techniques.
• Prepare management reports that clearly define and analyze issues and recommend solutions to help management make informed decisions.
• Discuss and analyze the impact of Operations Research solutions with different stakeholders such as managers and subject matter experts across the various departments.
• Follow an agile way of working.
• Contribute to the development of technical training offerings and curricula to support effective implementation and awareness of Operations Research capabilities.
Knowledge, experience & capabilities
• PhD in Operations Research, Applied Mathematics, Industrial Engineering, Data Science, Management Science, Computer Science, or related field.
• Solid understanding of Operations Research techniques, especially mathematical programming. Knowledge of combinatorial optimization techniques is an advantage.
• 2+ years demonstrable applied experience in implementation of Operations Research / Mathematical Optimization applications in an industrial context, preferable in Manufacturing and Logistics
• Ability to work in teams and across geographies
• Problem-solving skills – identify complex business problems, evaluate the application of Operations Research techniques, and implement decision-support solutions
• Hands-on experience with Mathematical Optimization Software such as CPLEX, Gurobi, MOSEK, SCIP, or Xpress
• Experience with model development, such as AIMMS, AMPL, GAMS, Mosel, MPL, OPL, etc.
• Experience with programming languages such as C/C++/C#, Python, etc.
• Some experience in data visualization with Power BI, Tableau, or similar
• Strong written and oral English communication skills
• Analytical mindset
Interested? We look forward to receiving your online application including all relevant documents– reference number 18026221.
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.
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