Senior Applied Scientist - Optimization, Fulfillment Planning and Execution Science - Fulfillment Optimization

What you'll do

• Design, develop, and evaluate optimization models for complex business problems; research and apply current optimization techniques.
• Integrate models and algorithms into large-scale production systems with software engineering teams, and establish scalable processes for model development and validation.
• Technically lead and mentor scientists and develop solutions that improve operational efficiency and customer delivery experience.

What they ask for

• Experience programming in Java, C++, Python, or a related language.
• Ph.D. in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science, or a related field.
• Experience with mathematical optimization, including linear and nonlinear optimization.
• Experience hiring and leading experienced scientists and developing junior scientists; knowledge of problem solving, algorithm design, and complexity analysis.

Nice to have

• Experience building machine learning models for business applications.
• PhD in operations research, applied mathematics, theoretical computer science, or equivalent, or PhD/equivalent research experience and 10+ years building machine learning models or developing algorithms for business applications.

Pay

USD 167,100.00 - 226,100.00 annually (base salary)

Tools

Java, C++, Python

AI focus

Apply machine learning alongside optimization and statistical modeling to supply-chain planning problems; machine learning model-building experience is preferred.