Cargill is looking for an Optimization Scientist to create models that deliver significant value across our businesses. You will collaborate in multidisciplinary teams to develop from proof of concepts to fully deployable solutions.
What You'll Do
- Contribute to the design and implementation of new features, deploying optimization solutions for intelligent supply chain applications.
- Work and consult on multidisciplinary teams of data engineers, software engineers, data scientists, and business experts to deliver highly complex large-scale projects on time.
- Own the entire supply chain data science workflow, including project scoping, exploratory data analysis, model development, deployment, and monitoring.
- Provide expert thought leadership in optimization, working with limited direction.
- Continuously seek out best practices and develop your skills.
What We're Looking For
- Bachelor’s degree in Computer Science, Operational Research, Math, or a related field, or equivalent experience.
- Deep understanding of optimization, including constrained, convex and non-convex problems, and LP, QP, MILP, MINLP problems and solvers.
- Strong coding skills in Python or a similar object-oriented programming language.
- A minimum of 4 years of related work experience.
Nice to Have
- Three or more years’ experience in Supply Chain.
- Master's degree or PhD in Computer Science, Artificial Intelligence, Optimization, Operational Research, Math, or a related field.
- Professional experience applying optimization for Supply Chain solutions.
- Experience with Optimizer model development using Gurobi or CPLEX.
- Experience with scalable Machine Learning, such as distributed systems, MapReduce, or streaming.
Technical Stack
- Python
- Gurobi
- CPLEX
Cargill is an equal opportunity employer.
