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.
BASIC QUALIFICATIONS
- PhD in economics or equivalent
PREFERRED QUALIFICATIONS
- 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 a 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 and knowledge of applying observational causal interference methods
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.