Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon continues to grow and evolve as a world-class e-commerce platform. The AOP team is an integral part of this and strives to provide Data and Science Capabilities to fulfill all customer processes in the APAC, LATAM, IN and MENA Ops businesses.
This BIE role sits at a rare intersection and has high growth prospects. On one side, you have cutting-edge ML/OR models making split-second cost saving decisions across Ops network. On the other, you have the analytical depth required to understand why those models succeed, where they fall short, and what needs to change. You won't just be observing these models from the outside — you'll own them along with the Scientists. Their performance, their enhancements, their evolution over time — that's your responsibility. When the model needs a new feature,
a re-calibrated threshold, or a fundamentally different approach to a particular corridor or condition, you're the one driving that forward in partnership with the scientists who built it. In some instances you will also directly own these models.
The technical challenges here are genuinely complex and rewarding. You'll work with large-scale, low-latency data flowing through real-time pipelines. You'll design automated reporting frameworks that need to be as robust as the system they monitor. You'll apply statistical rigor to evaluate model performance in production, design experiments to validate enhancements, and quantify impact in an setting where conditions shift daily. But beyond monitoring, you'll be the one identifying what's broken, proposing what to build next, and owning the analytical path from hypothesis to deployed improvement. This is a role without a single well-worn toolkit, you'll have the opport
📌 Business Intelligence Engineer II, AOP (Gurugram)
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