Senior Economist, Prime Video - Content Discovery Science

$143,300 - $247,600/Yr

Amazon.com - Seattle, WA

- Senior

Seattle, WA

General Merchandise Retailers

About the position

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 include leading 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. The Sr. Economist 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.

Responsibilities

• Lead initiatives that impact strategic business goals.
• Empower the PV organization to make long-term decisions using online and offline metrics.
• Own best in class causal models and metrics.
• Partner with finance to align economic models with business financial P&L models.
• Work closely with Product Managers and Business to bridge the gap between science and business.
• Standardize economic data definitions and integrate LTV measures in experimentation tooling.
• Set Standard Operating Procedures for PV LTV measurement systems.
• Provide visibility and explainability into model outputs.

Requirements

• PhD in economics or equivalent.

Nice-to-haves

• Experience in analytics and applied economics.
• Experience in developing and executing an analytic vision to solve business-relevant problems.
• Experience in building statistical models using R, Python, STATA, or related software.
• Experience in industry, consulting, government or academic research.
• Experience in econometrics (e.g., program evaluation, forecasting, time series, panel data, or high dimensional problems), economic theory, and quantitative methods.
• Advanced expertise in applying observational causal inference methods.

Benefits

• Full range of medical benefits.
• Financial benefits including equity and sign-on payments.