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Amazon's Devices Economic Value team enables measurement and optimization of Amazon Devices long-term value to help Amazon build better products for their customers. Delivering lasting value to customers is in Amazon's DNA and we are at the core of how the Devices business prioritizes its investments in innovation and optimization on behalf of customers. Join us to be a part of the team that is at the core of understanding how Amazon Devices drive deeper customer engagement and helps the business make decisions about how to optimize and balance between short term monetization and long term value creation for Amazon Device users. We are seeking a skilled Senior Economist to build the future of long term value forecasting and optimization for Amazon Devices. Key job responsibilities We are looking for a talented Senior Economist to drive the science evolution within the Devices Economic Value space (DEV). The Senior Economist will be responsible for evolving the DEV paradigm towards driving direct business value via actionable business levers and influencing the Devices org business strategy through a better understanding of the DEV drivers. They will be responsible for science solutions to better align DEV forecasts and engineering systems towards direct value generation through production systems. We expect the Senior Economist to drive Economic Value innovation, leveraging current advances in forecasting and machine learning. About the team DEV Science team's mission is to drive measurement and optimization of long term economic value of the devices business that balances short term and long term tradeoffs across product lifecycle, and drive clear value for Amazon shoppers. We leverage science advancements across causal inference, structural modeling and machine learning, to solve challenging business problems in Amazon Devices. The team spans scientists across a wide range of seniority, tenure and specialization, including economists, data and applied scientists, with dedicated product and engineering partners. BASIC QUALIFICATIONS : PhD in economics or equivalent Experience in econometrics (e.g., program evaluation, forecasting, time series, panel data, or high dimensional problems), economic theory, and quantitative methods Knowledge of Python or R 5+ years of post PhD work experience in industry, consulting, government or academic research 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 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.

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