Job Purpose and Impact

The Data Science Lead - Operations Research will work collaboratively in multidisciplinary teams to define, develop and deploy complex supply chain digital solutions at scale. In this role, you will deploy predictive and optimization models at scale for digital supply chain products that help deliver significant value to our customers, businesses and functions.

Key Accountabilities

• Contribute to design, and implementation of new features, and deploy optimization solutions for intelligent supply chain applications.
• Work and consult on multidisciplinary teams of data engineers, software engineers, data scientists, and business subject-matter experts to deliver highly complex large-scale projects on time.
• Take ownership for the entire supply chain data science workflow including well defined, highly complex project scoping, exploratory data analysis, model development, deployment and monitoring.
• Provide expert thought leadership in optimization and work with limited direction, using additional research and interpretation to identify issues or problems. You may provide direction to supporting team members and be a strategic contributor.
• Continuously seek out best practices and develop skills.
• Other duties as assigned.

Qualifications

MINIMUM QUALIFICATIONS

• Bachelor’s degree in Computer science, Operational Research, Math OR related field OR Equivalent Experience

• Minimum of 6 years of related work experience
• Deep understanding and experience in solving business problems using optimization solvers (i.e Constrained, Convex and Non-convex, LP, QP, MILP, MINLP)
• Strong coding skills in Python (or similar object-oriented programming language)

PREFERRED QUALIFICATIONS

• Master's degree or PhD in Computer science, Artificial Intelligence, Optimization, Operational Research, or Math OR related field.
• Five or more years’ experience in Supply Chain
• Professional experience applying optimization for Supply Chain solutions
• Experience on Optimizer model development with Gurobi, CPLEX
• Exposure to scalable Machine Learning (i.e distributed systems, MapReduce, streaming, etc.)

#LI-HS1

Equal Opportunity Employer, including Disability/Vet.

US Covid-19 Vaccination Update: Cargill highly encourages vaccinations but does not mandateat this time.  Upon hire, you will be asked to provide your vaccination status, and if unvaccinated or if you choose not to disclose, you would be expected to follow Cargill’s safety protocols for unvaccinated employees (i.e., mask mandates, and social distancing).