Amazon
Sr. Economist, Pricing
Amazon, Seattle, Washington, us, 98127
Job ID: 2775685 | Amazon.com Services LLCCome and be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help business customers thrive. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential.Amazon Business Flywheel Inputs (AB FI) science and analytics team is looking for an experienced Economist/Scientist to excel at pricing, selection, forecast and optimization. Amazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find, research, and buy products and services across multiple devices and marketplaces. The Science and AI team owns the science and analytics for key AB problems including price setting, selection additions and operations optimization. Amazon Business is a fast growing business sector. We need leaders who can think big and drive big vision into a reality.You will build the science models and the supporting structures needed to analyze, dive deep, and innovate the pricing strategies. You will also have the opportunity to present findings to cross functional team partners to drive improvements. You will work closely with other Applied/Research/Data Scientists, Economists, Data Engineers, Software Development Engineers, Program Managers and Business Partners to solve challenging problems. You need to be comfortable using intellect, curiosity and technical ability to develop innovative solutions to business problems. You will be expected to provide clear and concise explanation to results and approaches as well as provide opinion and guidance on problem solving.Key job responsibilities
Contribute to supplier operations strategy development based on science models and data analysisDevelop models to measure long term impact of seller behaviorsCollaborate with product and engineering teams both within and outside of AB to launch selection and operations systems based on science and data.Use economical techniques to create scientific solutions for business problems.Research, experiment and implement novel approaches.Work closely with other scientists in the team and across teams.Work and collaborate effectively with product managers and software engineering teams to build algorithms and models and integrate successful models and algorithms in production systems.Use the best practices in science: data integrity, design, test, and implementation and documentation.Contribute to Amazon's Intellectual Property through patents and internal and external publications.A day in the lifeThe economist/scientist will develop, enhance, automate, and manage science models from end to end. He/she will also have the opportunity to present findings to cross functional team partners to drive improvements. He/she will work with other Applied/Research/Data Scientists, Economists, Data Engineers, Software Development Engineers, Program Managers and Business Partners to build analytical and science models. The scientist/economist will be expected to provide clear and concise explanation to results and approaches as well as provide opinion and guidance on problem solving.BASIC QUALIFICATIONS
PhD in economics or equivalentExperience in econometrics (e.g., program evaluation, forecasting, time series, panel data, or high dimensional problems), economic theory, and quantitative methods5+ years of experience in Economist related field.PREFERRED QUALIFICATIONS
Experience in analytics and applied economicsExperience in developing and executing an analytic vision to solve business-relevant problemsExperience in building statistical models using R, Python, STATA, or a related softwareExperience in industry, consulting, government or academic research
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Contribute to supplier operations strategy development based on science models and data analysisDevelop models to measure long term impact of seller behaviorsCollaborate with product and engineering teams both within and outside of AB to launch selection and operations systems based on science and data.Use economical techniques to create scientific solutions for business problems.Research, experiment and implement novel approaches.Work closely with other scientists in the team and across teams.Work and collaborate effectively with product managers and software engineering teams to build algorithms and models and integrate successful models and algorithms in production systems.Use the best practices in science: data integrity, design, test, and implementation and documentation.Contribute to Amazon's Intellectual Property through patents and internal and external publications.A day in the lifeThe economist/scientist will develop, enhance, automate, and manage science models from end to end. He/she will also have the opportunity to present findings to cross functional team partners to drive improvements. He/she will work with other Applied/Research/Data Scientists, Economists, Data Engineers, Software Development Engineers, Program Managers and Business Partners to build analytical and science models. The scientist/economist will be expected to provide clear and concise explanation to results and approaches as well as provide opinion and guidance on problem solving.BASIC QUALIFICATIONS
PhD in economics or equivalentExperience in econometrics (e.g., program evaluation, forecasting, time series, panel data, or high dimensional problems), economic theory, and quantitative methods5+ years of experience in Economist related field.PREFERRED QUALIFICATIONS
Experience in analytics and applied economicsExperience in developing and executing an analytic vision to solve business-relevant problemsExperience in building statistical models using R, Python, STATA, or a related softwareExperience in industry, consulting, government or academic research
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