The central science organization for worldwide pricing and promotions at Amazon is recruiting talented tech economists to join our team. This role will support an exciting new initiative at Amazon that is not yet launched to our customers. We are looking for talented economists with expertise in causal measurement who are excited about building scalable solutions for key business initiatives.
Key job responsibilities
- Partner with principals and senior team members to drive science improvements and implement state-of-the-art econometric solutions
- Partner with engineering and other science collaborators to design, implement, prototype, deploy, and maintain large-scale causal ML models.
- Carry out in-depth research and analysis exploring pricing-related data sets, including large sets of real-world experimental data, to understand behavior, highlight model improvement opportunities, and understand shortcomings and limitations.
- Define data quality standards for understanding typical behavior, capturing outliers, and detecting model performance issues.
- Work with product stakeholders to help improve our ability to provide quality measurement of promotion effectiveness for our customers.
About the team
The Pricing and Promotions Impact Intelligence team measures causal effects of business programs worldwide. We leverage planet scale data on billions of Amazon and external competitor products to build advanced ML and econometric models to drive key insights for senior leadership and to serve as critical data-driven signals for core optimization algorithms.
