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For our client, a world leading agrochemical company we are accepting applications for the role of Operations Research Engineer. 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.
Duration: ASAP until the end of the year with possible extension
Up to 25% travel, including national and international
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.
5+ years demonstrable applied experience in implementation of Operations Research / Mathematical Optimization applications in an industrial context, preferable in Manufacturing and Logistics
PhD in Operations Research, Applied Mathematics, Industrial Engineering, Data Science, Management Science, Computer Science, or related field.
A proven track record on implemented Business Process Improvement by applying Operations Research techniques.
Solid understanding of Operations Research techniques, especially mathematical programming.
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 Gurobi, SCIP, Xpress, or CPLEX projects
Experience with model development, such as AIMMS, AMPL, GAMS, Mosel, MPL, OPL
Experience with programming languages such as C/C++/C#, Python
Some experience in data visualization with Tableau, Power BI
Ability to identify and use data to drive the decision-making process
Develop and communicate strategic insights to improve operational efficiency
Ability to work in a matrix environment, influencing people at various levels in the organization
Strong written and oral English communication skills