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Operation research engineer

Job in Township of Malta, DeKalb County, Illinois, USA
Listing for: Syngenta
Full Time position
Listed on 2026-10-15
Job specializations:
  • Engineering
    AI Engineer (Applied/Software), Research Scientist, Data Engineering
Salary/Wage Range or Industry Benchmark: 106000 - 198000 USD Yearly USD 106000.00 198000.00 YEAR
Job Description & How to Apply Below
Location: Township of Malta

About Syngenta

At Syngenta Seeds Field Crops, we're shaping the future of agriculture and empowering farmers to meet the ever-growing demand for food and fuel. We're a global Ag Tech powerhouse, headquartered in the United States, with passionate, local experts collaborating with farmers to deliver solutions that create market opportunities. We unite precision breeding, advanced biotechnology trait choice, and digital platforms for unmatched in-field performance.

Our seeds help mitigate risks such as disease, insect, weed, and extreme weather pressures, all while promoting sustainable farming practices that protect and enhance our planet. Join our mission of revolutionizing food security and transforming agriculture.

Company Description

At Syngenta Seeds Field Crops, we're shaping the future of agriculture and empowering farmers to meet the ever-growing demand for food and fuel. We're a global Ag Tech powerhouse, headquartered in the United States, with passionate, local experts collaborating with farmers to deliver solutions that create market opportunities. We unite precision breeding, advanced biotechnology trait choice, and digital platforms for unmatched in-field performance.

Our seeds help mitigate risks such as disease, insect, weed, and extreme weather pressures, all while promoting sustainable farming practices that protect and enhance our planet. Join our mission of revolutionizing food security and transforming agriculture.

About Syngenta

At Syngenta Seeds Field Crops, we're shaping the future of agriculture and empowering farmers to meet the ever-growing demand for food and fuel. We're a global Ag Tech powerhouse, headquartered in the United States, with passionate, local experts collaborating with farmers to deliver solutions that create market opportunities. We unite precision breeding, advanced biotechnology trait choice, and digital platforms for unmatched in-field performance.

Our seeds help mitigate risks such as disease, insect, weed, and extreme weather pressures, all while promoting sustainable farming practices that protect and enhance our planet. Join our mission of revolutionizing food security and transforming agriculture.

Job Description

At Syngenta, our goal is to build the most collaborative and trustworthy team in agriculture, providing top-quality seeds and innovative crop protection solutions that improve farmers' success. To support this mission, Syngenta's Analytics & Data Sciences Team is seeking an Operations Research Engineer in Malta, IL. This role will drive operational efficiency and decision quality across Seeds Research & Development by designing, building, and scaling algorithmic decision-support solutions.

The role applies Operations Research and Mathematical Optimization to complex end-to-end business processes - translating business objectives and constraints into robust models, integrating them into Syngenta's digital ecosystem, and enabling measurable improvements in service, cost, speed, and resource utilization.

Accountabilities
  • Design, build, and deploy mathematical optimization models using Linear Programming (LP), Mixed-Integer Programming (MIP), Nonlinear Programming (NLP), Constraint Programming (CP), and hybrid approaches as appropriate.
  • Translate business objectives, constraints, and operating policies into robust mathematical formulations with clear assumptions and acceptance criteria.
  • Integrate optimization solutions into Syngenta's digital ecosystem.
  • Identify, collect, cleanse, and structure data from multiple sources; define input/output specifications, data quality requirements, and data lineage for optimization models.
  • Define and align business KPIs and metrics that drive optimization objectives and enable value tracking.
  • Validate models through testing, back-testing, and scenario analysis; run simulations and what-if analyses to assess robustness and quantify trade-offs.
  • Lead and manage projects delivering optimization solutions for strategic decisions and day-to-day operations, such as scope, timeline, risks, and stakeholder alignment.
  • Collaborate with cross-functional teams and line-of-business users to review current operational systems and processes, identify pain points, and prioritize optimization use cases.
  • Communicate clearly on bottlenecks, insights, and recommendations to enable informed decisions by management and operational teams.
  • Work in an agile way and adhere to engineering best practices.
  • Contribute to capability building by developing technical training…
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