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Key job responsibilities
• Interact with engineering, operations, science and business teams to develop an understanding and domain knowledge of processes, system structures, and business requirements
• Apply domain knowledge and business judgment to identify opportunities and quantify the impact aligning research direction to business requirements and make the right judgment on research project prioritization
• Develop scalable mathematical models to derive optimal or near-optimal solutions to existing and new inventory planning challenges
• Create prototypes and simulations to test devised solutions
• Advocate technical solutions to business stakeholders, engineering teams, as well as executive level decision makers
• Work closely with engineers to integrate prototypes into production systems
• Create policy evaluation methods to track the actual performance of devised solutions in production systems, identify areas with potential for improvement and work with internal teams to improve the solution with new features
A day in the life
- PhD in a quantitative field, or MS degree and 1+ years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience with data analysis package (R, SAS, Matlab, etc.)
- Experience using SQL databases to manage and analyze large data sets
- PhD in operations research, applied mathematics, theoretical computer science, or equivalent
- Experience applying forecasting and data mining techniques
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