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.
Within Amazon Search, the Data Science team brings expertise in constrained optimization, modeling data, and experimental methods. We partner with internal and external teams to bring create pioneering new insights, develop new measurement and testing methodologies, and hone optimization strategies. We ensure Search's systems, models, and teams properly optimizing over trade-offs in the function of the search experience. In addition to working with partners, we incubate new modeling techniques, and perform 'front line recon' on potential new models and tools.
We are looking for a Senior Economist to independently leverage petabyte scale data, seek out opportunities, and deliver models, metrics, or insights that creates wins for customers.


Key job responsibilities
Measure / Quantify / Expand
- Design, size, and analyze field experiments at scale.
- Apply econometric or statistical knowledge to improve Amazon Search (using machine learning techniques is a plus)
- Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.
- Analyze historical data to identify trends and support decision making.
Explore / Enlighten
- Formalize assumptions about how Amazon Search is expected to work.
- Given anomalies, whether anecdotal or identified automatically, deep dive to explain why they happen, and identify fixes.
Decide / Recommend
- Build decision-making models and propose solution for the business problem you defined
- Analyze A/B tests and extract understanding of customer behavioral responses
- Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.
- Utilize code (python or another object oriented language) for data analyzing and modeling algorithm



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.