Principal Economist, Devices Economic Value - Amazon

Description 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 Principal Economist to build the future of long term value measurement and optimization for Amazon Devices. Key job responsibilities We are looking for a talented Principal Economist to drive the science evolution within the Devices Economic Value space (DEV). The Principal 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 product and engineering systems towards direct value generation through production systems. We expect the Principal Economist to drive Economic Value innovation, leveraging current advances in causal inference 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 - Ph.D. in economics or related finance or policy field - 8+ years of post PhD work experience in industry, consulting, government or academic research or equivalent - Strong background in causal inference - Experience with advancements on the intersection of econometrics and machine learning - Advanced coding ability in a scripting language such as Python, or R Preferred Qualifications - Proven track record in conducting research and solving business problems leveraging techniques from economics or related disciplines. - Demonstrated experience in measurement and optimization - Ability to work in a fast-paced business environment. - Effective verbal and written communications skills 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $170,500/year in our lowest geographic market up to $294,700/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.