Optimization Scientist

Job Purpose and Impact

The Optimization Scientist will work collaboratively in multidisciplinary teams to develop proof of concepts, minimum viable products and fully deployable solutions. In this role, you will create predictive and optimization models that help deliver significant value to the organization's businesses and functions.

Key Accountabilities

• Continuously seek out best practices and develop skills.
• 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 and work with limiter supervision for the entire supply chain data science workflow including well defined, highly complex project scoping, exploratory data analysis, model development, deployment and monitoring.
• Work on multidisciplinary teams of data engineers, software engineers, data scientists, and business subject-matter experts to deploy complex large-scale projects on time.
• 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. Other duties as assigned.

Qualifications

MINIMUM QUALIFICATIONS:

• Bachelor’s degree in Computer science, Operational Research, Math OR related field OR Equivalent Experience.
• Deep understanding of optimization (constrained, convex and non-convex optimization problems, and LP, QP, MILP, MINLP, problems and solvers).
• Strong coding skills in Python (or similar object-oriented programming language).
• Minimum of 4 years of related work experience.

PREFERRED QUALIFICATIONS:

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

Disclamer

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