Business Intelligence Engineer

The JP Economics and Decision Science team is a central science team working across a variety of topics in the Retail business and beyond. We work closely with business leaders to drive change at Amazon. We focus on solving long-term, ambiguous and challenging problems, while providing advisory support to help solve short-term business pain points. Key topics include pricing, product selection, delivery speed, profitability, and customer experience. We tackle these issues by building novel economic / econometric models, machine learning systems, and high-impact experiments which we integrate into business, financial, and system-level decision making.

We are looking for a Business Intelligence Engineer to work alongside our Scientists to build statistical and ML models, and working directly with senior leaders to tackle their most critical problems in Retail business.

Key job responsibilities

• Drive business changes through data insights to drive change across a wide range of retail business inputs
• Explore / analyze data and work with Product Managers to understand customer behaviors, develop complex data pipelines
• Work closely with our scientists to design scalable model architectures. Identify appropriate metrics and feature sets for the problem, and build / maintain automated pipelines for their extraction
• Fostering culture of continuous engineering improvement through mentoring and feedback

BASIC QUALIFICATIONS

PREFERRED QUALIFICATIONS

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