Education: Doctorate
We value a relentless approach to problem-solving, rapid execution, and the ability to quickly learn in unfamiliar domains.
- Deep expertise in operations research, decision science, or a closely related field (typically a PhD or equivalent experience)
- Strong grasp of optimization and decision-making under uncertainty, ideally including stochastic methods
- Experience in high-stakes operational settings where forecasts drive consequential decisions
- Particular strength in evaluating the quality of optimization or decision models, not just building them
- Ability to collaborate closely with ML researchers and translate operational realities into technical problems
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