Amazon.com strives to be Earth's most customer-centric company where customers can shop in our stores to find and discover anything they want to buy. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.
Economists at Amazon partner closely with senior management, business stakeholders, scientist and engineers, and economist leadership to solve key business problems. Amazon Economists build econometric models using our world class data systems and apply approaches from a variety of skillsets. You will work in a fast moving environment to solve business problems as a member of a cross-functional team. You will be expected to develop techniques that apply econometrics to large data sets, address quantitative problems, and contribute to the design of automated systems around the company.


Key job responsibilities
A Senior Economist in this team leads initiatives that make a significant measurable impact on the strategic goals of the business through empowering the PV organization to make smart, long-term
decisions through the use of both online (within experiment) and offline metrics (post-predicted) that drive economically sustainable growth for Amazon. They own best in class casual models and metrics that unblock trade-off decisions when business and customer outcomes do not align.
Sr. Economist in this team partners with finance to align PV’s economic models with the business financial P&L models, and works closely with Product Managers and Business to bridge the gap between science and business. They partner with data engineers and central teams to standardize economic data definitions and integrate the LTV measures directly in Amazon experimentation tooling. They set the Standard Operating Procedure for the PV LTV measurement systems, provide visibility and explainability into the model outputs to empower users to understand and use them effectively.

To be successful in the role, a Senior Economist in PSE must have deep expertise in econometrics and possess a good understanding of strength and weakness of various science approaches.They drive best practices and set standards for metric development process, model calibration, evaluation and governance, and balancing science (i.e. metric fidelity) and engineering constraints. They advise on
minimum data requirements for various models, and are able to persuade teams to collect additional observational or experimental data when necessary. They extensively monitor model performance and identify opportunities for improvement in model precision, sensitivity, scalability and operational excellence.

About the team
Prime Video Content discovery science is a central team which defines customer and business success metrics, models, heuristics and econometric frameworks. The team develops, owns and operates a suite of data science and economic models that govern online and offline decision making systems. The team is responsible for Prime Video’s experimentation practice and continuously innovates and upskills teams across the organization on science best practices. The team values diversity, collaboration and learning, and is excited to welcome a new member whose passion and creativity will help the team continue innovating and enhancing customer experience.