li>Degree in a quantitative field (e.g., Engineering, Computer Science, Supply Chain, Business Analytics, Economics) or equivalent experience or evidence of exceptional ability, with 2+ years of work experience in supply-chain analytics, logistics analytics, data engineering, or a related role. The ideal candidate is a curious and driven engineer who excels at building scalable data pipelines, managing initiatives end-to-end, partnering with operations, and solving complex logistics problems with data.