Economist I, Prime Video Marketing Science, Prime Video Marketing Analytics

Requirements

• PhD in economics or equivalent
• Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software
• Experience in a postdoctoral position, consulting position, government position or academic research
• Experience with SQL
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
• USA, CA, Culver City - 129,200.00 - 174,700.00 USD annually
• USA, WA, SEATTLE - 129,200.00 - 174,700.00 USD annually

Additional Information

Amazon is looking for an Economist - Marketing Science to uncover the impact of Prime Video's Global Marketing efforts, and assess their effects on customer viewership behavior. Prime Video is shaping the future of video entertainment, by offering customers a wide and eclectic catalog, including an ever-increasing slate of Amazon Originals. Our mission is to build the widest selection of digital video content and make it trivially easy for customers to enjoy great content wherever and whenever they want. To help fulfill this mission, the Marketing Science team aims to drive decision-making on Global Prime Video marketing efforts by delivering sophisticated marketing measurement models. As an Economist on the team, you will work closely with our business and finance stakeholders, as well as the other members of our team, to shape and deliver a roadmap of economic models and experimentation for the team. Your frameworks will be leveraged to inform critical decisions for the business, such as 'how much should we invest in marketing globally?', 'what is the value of each $ of marketing activity on each channel?', and 'what is the impact of Brand marketing?'. Key job responsibilities Design and deliver experiments to test critical hypotheses around the effectiveness of Global marketing efforts across different channels. Provide and present analyses that interpret experimental results and leverage them to validate/calibrate the output of observational models. Collaborate with other Scientists and Economists on our team to enhance our existing suite of models and get smarter about marketing decision-making.

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