Economist II, Prime Video Hub Science

Are you excited about using econometrics and statistics to impact real-world business decisions? We are looking for an Economist to build innovative solutions based on econometrics, experimentation, and machine learning helping us to answer challenging and impactful business problems for Prime Video. If you have an entrepreneurial spirit, you know how to deliver results fast, and you have a deeply quantitative, highly innovative approach to solving problems, and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you. Key job responsibilities

• Leverage causal inference methods to estimate the impact of large-scale investments
• Develop advanced structural demand and econometric frameworks for products and services
• Collaborate with other scientists at Amazon to deliver measurable progress and change
• Influence business leaders based on empirical findings
A day in the life You will work as an individual contributor working on a mix of complex strategic, long-term research as well as tactical analytical projects. You will write technical as well as business-facing docs and present your work to business leaders and the science community. About the team The Prime Video Hub Science team combines data science and economics to measure how Prime Video initiatives drive customer engagement and business value. We design experiments across Prime Video and Amazon surfaces, build causal models to evaluate marketing and product initiatives across channels, and translate findings into actionable metrics and recommendations.


• Experience communicating complex business concepts in verbal and written form
• Experience analyzing both experimental and observational data sets
• PhD in Economics or a related field
• Strong proficiency in at least one of the following statistical software packages: Python, R, Stata, or Matlab, Experience working with large, complex data sets
• 2+ years of industry, consulting, government, or academic research experience
• Demonstrable experience in any of the following areas of applied economics (multiple areas preferred): reduced-form causal analysis, predictive modeling and causal ML algorithms, forecasting, hazard models, labor economics, health and insurance economics, education economics, behavioral economics, designing and administering large-scale social science surveys.
  
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