Senior Economist, Catalog Experimentation

• Work and collaborate effectively with tech teams, and launch to production.
• Hands-on experience working in the causal inference domain.
• Quantitative Marketing, Finance, or a related field.
• Influence senior leadership teams on the value propositions and generate new product ideas.
• PhD in economics or equivalent
• Keen judgment for balancing research depth and pacing.

If you are an economist, who dreams of conceptualizing an Amazon wide program from scratch and possess the confidence to navigate through early stage ambiguities, read on.Amazon Selection and Catalog Systems (ASCS) builds the systems that host and run the world’s largest e-Commerce products catalog - it powers the online buying experience for customers worldwide so they can find, discover and buy anything they want. Amazon’s customers rely on the completeness, consistency and correctness of Amazon's product data to make well-informed purchase decisions. Improving the quality of product data is a continuous process. It requires data driven decisions on what product data changes simplify and improve the Customers’ experience. Our team seeks an outstanding economist with demonstrated experience conducting causal inference at scale. Our problems include attributing values to actions in complex world of catalog information driving customer behavior. The ideal candidate combines acumen in data science and causal modeling to grapple with these and other challenges and guide decision-making at the highest levels. This is an opportunity to influence catalog quality improvements across Amazon across hundreds of initiatives.