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Economics

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  • Laurent Callot, Mehmet Caner, A. Özlem Önder , Esra Ulasan
    Journal of Business & Economics Statistics
    2019
    This paper investigates the large sample properties of the variance, weights, and risk of high-dimensional portfolios where the inverse of the covariance matrix of excess asset returns is estimated using a technique called nodewise regression. Nodewise regression provides a direct estimator for the inverse covariance matrix using the Least Absolute Shrinkage and Selection Operator (Lasso) of Tibshirani
  • AEA 2019
    2019
    We examine the impact of "big data" on firm performance in the context of forecast accuracy using proprietary retail sales data obtained from Amazon. We measure the accuracy of forecasts in two relevant dimensions: the number of products (N), and the number of time periods for which a product is available for sale (T). Theory suggests diminishing returns to larger N and T, with relative forecast errors
  • Dean Foster, Sergiu Hart
    Games & Economic Behavior
    2018
    We propose to smooth out the calibration score, which measures how good a forecaster is, by combining nearby forecasts. While regular calibration can be guaranteed only by randomized forecasting procedures, we show that smooth calibration can be guaranteed by deterministic procedures. As a consequence, it does not matter if the forecasts are leaked, i.e., made known in advance: smooth calibration can nevertheless

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US, WA, Seattle
Job summaryWW Installments is one of the fastest growing businesses within Amazon and we are looking for an Economist to join the team. This group has been entrusted with a massive charter that will impact every customer that visits Amazon.com. We are building the next generation of features and payment products that maximize customer enablement in a simple, transparent, and customer obsessed way. Through these products, we will deliver value directly to Amazon customers improving the shopping experience for hundreds of millions of customers worldwide. Our mission is to delight our customers by building payment experiences and financial services that are trusted, valued, and easy to use from anywhere in any way.Economists at Amazon are solving some of the most challenging applied economics questions in the tech sector. Amazon economists apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. Our economists build econometric models using our world class data systems, and apply economic theory to solve business problems in a fast-moving environment. A career at Amazon affords economists the opportunity to work with data of unparalleled quality, apply rigorous applied econometric approaches, and work with some of the most talented applied econometricians in the trade.As the Economist within WW Installments, you will be responsible for building long-term causal inference models and experiments. These analysis represent a core capability for WW Installments and businesses across Amazon. Your work will directly impact customers by influencing how objective functions are designed and which inputs are consumed for modeling. You will work across functions including machine learning, business intelligence, data engineering, software development, and finance to induce data driven decisions at every level of the organization.Key job responsibilitiesThis role will be responsible for:• Developing a causal inference and experimentation roadmap for the WW Installments Competitive Pricing team.• Apply expertise in causal and econometric modeling to develop large-scale systems that are deployed across Amazon businesses.• Identify business opportunities, define and execute modeling approach, then deliver outcomes to various Amazon businesses with an Amazon-wide perspective for solutions.• Lead the project plan from a scientific perspective on product launches including identifying potential risks, key milestones, and paths to mitigate risks• Own key inputs to reports consumed by VPs and Directors across Amazon.• Identifying new opportunities to influence business strategy and product vision using causal inference.• Continually improve the WW Installments experimentation roadmap automating and simplifying whenever possible.• Coordinate support across engineers, scientists, and stakeholders to deliver analytical projects and build proof of concept applications.• Work through significant business and technical ambiguity delivering on analytics roadmap across the team with autonomy.
US, VA, Arlington
Job summaryThe Central Science Team within Amazon’s People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. We are an interdisciplinary team, which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.We are looking for an economist with expertise in applying causal inference, experimental design, or causal machine learning techniques to topics in labor, personnel, education, health, public, or behavioral economics. We are particularly interested in candidates with experience applying these skills to strategic problems with significant business and/or social policy impact.Candidates will work with economists and engineers to estimate and validate their models on large scale data, and will help business partners turn the results of their analysis into policies, programs, and actions that have a major impact on Amazon’s business and its workforce. We are looking for creative thinkers who can combine a strong economic toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas.Ideal candidates will own key inputs to all stages of research projects, including model development, survey administration, experimental design, and data analysis. They will be customer-centric, working closely with business partners to define key research questions, communicate scientific approaches and findings, listen to and incorporate partner feedback, and deliver successful solutions.
US, WA, Seattle
Job summaryThe Amazonian Experience and Technology (AET) is in charge of providing the best experience possible to Amazon employees who interact with HR. To do so, we develop tools, technologies, and processes to ensure that Amazon can fulfill its goal of becoming Earth's Best Employer. As an Economist in this role, you will be in charge to provide Econometric analysis to understand the impact of different business initiatives on Employee Experience.We are looking for a passionate Economist with an interest to work at the intersection between Economics, Machine Learning, and Software Engineering. In this role, you will develop reduced form causal models to determine the impact of key business initiatives, and will become a trusted advisor to high level stakeholders. You will come across challenging problems, using data to solve scientific questions such as assessing the impact of the pandemic on employee experience, and the effect of new processes on key performance indicators.About the teamThe Data, Analytics and Science, Research and Applied Science team provides rigorous scientific support to business partners across the globe within the Amazonian Experience and Technology organization. Our goal is to make operations as efficient as possible by leveraging science to make sure the experience of Amazonians when contacting HR is as frustration free as possible. In this team, you will work with Economists, Applied Scientists, Data Scientists and Software Development Engineers to help solve complicated problems for Amazon's ever-growing employee population.
US
Job summaryWorkforce Staffing is responsible for hiring hourly associates into our global fulfillment operation. Each year we hire hundreds of thousands of associates across the globe. Market Intelligence, a subsidiary of Workforce Staffing, applies data and insights to optimize the experience and operations for Amazon’s largest candidate population who bring the magic of Amazon’s industry-leading brand promise for customer fulfillment to life. We are an interdisciplinary team that combines the talents of economics, science, analytics, and engineering to develop and deliver solutions that are continually shaping and writing the future of the hourly worker job offering landscape.We are looking for an economist with expertise in applying causal inference, experimental design, or causal machine learning techniques to topics in labor or related applied economics. They will collaborate with business partners to define and deliver economic thinking that guide strategic decisions. They will work closely with data scientists and engineers to estimate and validate their models on large scale data, and will help business partners turn the results of their analysis to business actions that have a major impact.Ideal candidates will own key inputs to all stages of research projects, including data requirements, model development, experimental design, and data analysis. They will be customer-centric, working closely with business partners to define key research questions, communicate scientific approaches and findings, listen to and incorporate partner feedback, and deliver successful solutions.Inclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have 12 affinity groups (employee resource groups) with more than 87,000 employees across hundreds of chapters around the world. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which reminds team members to seek diverse perspectives, learn and be curious, and earn trust.FlexibilityIt isn’t about which hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We offer flexibility and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthWe care about your career growth too. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it.
US, WA, Seattle
Job summaryThe Private Brands Intelligence (PBI) team combines Economics, Statistics, and Machine Learning with automation and large scale data technologies to develop scalable science solutions that support the operation and optimization of key functions of Amazon Private Brands and other Amazon teams, such as pricing, discovery, negotiation, forecasting, supply chain and product selection/development. We are an interdisciplinary team, committed to use of cutting edge technology and leveraging the strengths of engineers and scientists to build solutions for some of the toughest business problems at Amazon.We are looking for an outstanding Economist who is strong in applying cutting edge econometrics and machine learning methodologies to conduct empirical research and implement science solutions that solve real-world business problems. The candidate will not only implement and validate models on large scale data, and but also help business and tech partners understand the results and turn them into policies, programs, and actions that have a major impact on Amazon’s business. We are looking for creative thinkers who can combine a strong economic toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas.
US, WA, Bellevue
Job summaryThe Amazon Supply Chain Optimization Technology (SCOT) organization is looking for an experienced and motivated PhD Economist to work on exciting and challenging problems related to Amazon's worldwide inventory planning. SCOT provides unique opportunities to both create and see the direct impact of your work on billions of dollars’ worth of inventory, in one of the world’s most advanced supply chains, and at massive scale.As an Economist in our team, your work will help Amazon provides the best customer experience on inventory availability, selection and delivery speed worldwide. You will build large-scale econometric models using our world-class data systems and state-of-the-art cloud computing technologies. You will collaborate with some of the brightest economists, scientists and software engineers to address high-impact business problems and contribute to the design of automated systems with global reach.The ideal candidate will be able to: (1) use economic theories to structure ambiguous problems; (2) assess and interpret empirical relationships using large data sets; and (3) design long-term causal estimation models with scalability.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.
US, WA, Seattle
Job summaryAmazon Fresh Grocery is hiring an Economist who is passionate about data, uncovering insights, and telling business stories to leaders and stakeholders through econometric modeling. We are looking for a detail-oriented, organized, and responsible individual who is eager to learn how to work with large and complicated data sets in business environments.A successful candidate will be able to partner effectively with both business and technical teams on key business problems and will be an expert in using Causal Inference and/or Industrial Organization (I/O) methods to provide actionable insights. You will be expected to own the development of econometric models and to manage the modelling and validation work.Key job responsibilitiesYou will develop critical research and models that support business strategy for Amazon Fresh Grocery in areas such as Pricing and Selection from applying knowledge of Causal Inference and/or Industrial Organization (IO).
GB, London
Job summaryThe Amazon Supply Chain Optimization Technology (SCOT) organization is looking for an experienced and motivated Sr. Economist to work on exciting and challenging problems related to Amazon's worldwide inventory planning. SCOT provides unique opportunities to both create and see the direct impact of your work on billions of dollars’ worth of inventory, in one of the world’s most advanced supply chains, and at massive scale.As a Sr. Economist in our team, your work will help Amazon provides the best customer experience on inventory availability, selection and delivery speed worldwide. You will build large-scale econometric models using our world-class data systems and state-of-the-art cloud computing technologies. You will collaborate with some of the brightest economists, scientists and software engineers to address high-impact business problems and contribute to the design of automated systems with global reach.Key job responsibilities· Applies expertise in causal modeling to develop large-scale systems that are deployed across the company. Reviews and audits modeling processes and results for other scientists, both junior and senior.· Describes strategic importance of vision inside and outside of team. Identifies business opportunities, define the problem and roadmap to solve it. Brings a department or company-wide perspective in decision making.· Leads the project plan from a scientific perspective on small to medium product launches including identifying potential risks, key milestones, and paths to mitigate risks· Sets and balances goals across team to optimize performance against department goals and employee development. Identifies resource needs for the team.
GB, London
Job summaryAt Amazon Prime Video we are passionate about using data and analytics to delight our customers by understanding their preferences to produce and acquire their favourite streaming content.As an Economist in the Prime Video Content Analytics team you will be responsible for delivering research, econometric models, and analysis to optimize content selection as an input to our business and customer engagement and acquisition as an output. The models you develop will drive changes in digital video content selection to ensure we’re providing customers with the best possible experience while optimizing our costs.We are looking for an Economist who is able to provide structure around complex business problems, hone those complex problems into specific, scientific questions, and test those questions to generate insights.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.
US, VA, Arlington
Job summaryAre you interested in applying Econometric and Machine Learning techniques to solve business problems in the world’s most scientific people experience and technology organization?The Amazonian Experience and Technology (AET) team is looking for a passionate Economist with strong analytical and communication skills to support our goal of becoming the most scientific people experience and technology organization in the world. The team is responsible for developing scientific forecasting solutions to increase the efficiency and quality of services provided to Amazon’s growing workforce. This includes forecasting demand, analyzing the causal impact of new events and policies on our services, and building automated solutions using state of the art statistical and machine learning techniques.We are looking for a motivated economist with strong analytical skills who desires to work at the intersection of economics, machine learning, and operations research. In this role, you will be involved in time series forecasting, leveraging correlation and causal analyses to understand the impact of different variables on our operations, as well as in determining the optimal allocation of resources across service areas. You will partner with Economists, Applied Scientists, and Engineers to constantly innovate on behalf of our employees.