Amazon is one of the most popular sites in the US. Our product search engine, one of the most heavily used services in the world, indexes billions of products and serves hundreds of millions of customers world-wide.
Our team leads the data science and analytics efforts for the search page and we own multiple aspects of understanding how we can measure customer satisfaction with our experiences.
This includes building science based insights and novel metrics to define and track customer focused aspects.
We are looking for a senior economist to focus on measuring the quality of our most strategic investments and define tradeoff frameworks for decision making.
This includes new CX paradigms like conversational shopping (LLMs) which may shift customer behavior in hard to detect ways, and have impact on upstream and downstream Amazon systems like logistics and selection.
About the team
The mission of the Search Data Science team is to build a world class shopping experience that delights customers. We focus on the long term and big picture, ensuring that the search page is balancing strategic trade-offs.
We bring to this effort expertise in constrained optimization, causal inference, and marketplace equilibrium effects. We build systems, metrics, and mechanisms to ensure that product decisions are scientifically sound.
We develop models to estimate the downstream dollar value of the quality of the experience. We spend time on evaluating experiments to develop durable learnings.
BASIC QUALIFICATIONS
- PhD in economics or equivalent
- Experience in building statistical models using R, Python, STATA, or a related software
PREFERRED QUALIFICATIONS
- Experience in analytics and applied economics
- Experience in developing and executing an analytic vision to solve business-relevant problems
- Experience in industry, consulting, government or academic research
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