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  • 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, CA, San Diego
.A day in the life.About the hiring group.Job responsibilitiesEconomistThe North American Consumer Economics team uses Economics, Statistics, and Machine Learning to understand and design the complex economy of Amazon’s network of buyers and sellers. 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 able to provide structure around complex business problems, work with machine learning scientists to estimate and validate their models on large scale data, and who can help business and tech partners turn the results of their analysis 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.In this role, we expect you be able to own the development of economic models and to manage, in close collaboration with scientists and engineers, the data analysis, modeling, and experimentation that is necessary for estimating and validating your model. You will need to work with our business partners to communicate the properties of your analysis/modeling and be able to work to incorporate their feedback and requests into your project. Experience in applied economic analysis is essential, and you should be familiar with modern tools for data science and business analysis.We are particularly interested in candidates with research background in applied microeconomics, empirical IO, Marketing, Finance, applied econometrics, and market design. However, we want to talk with any experienced economist with an interest in working on an interest in working on innovative, strategic problems with significant business impact.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.
SG, Singapore
The Amazon Prime Team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to apply economic and econometric theories to large-scale business problems and big data sets.These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will work in a team of economists, data scientists, and engineers and in collaboration with product and finance managers. These experiences will translate well into writing applied chapters in your dissertation and prepare you with placement in academia or private sector.Roughly 50% of research assistants from previous cohorts have converted to full time data science or economics employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com.
US, WA, Seattle
The Amazon Shipping is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to apply what they've learned in an academic setting to a business environment, specifically focused on time series forecasting for routing problems.These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, data scientists and MBAʼs. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 50% of research assistants from previous cohorts have converted to full time data science or economics employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
SG, Singapore
We are seeking an experienced Economist to accelerate the growth of Amazon Prime through econometrics and data analytics. Our vision is for Prime to be the Earth’s largest and most loved membership program. We look forward to partnering with you to advance our innovation on customers’ behalf.Amazon has a proven history of working with Ph.D. economists and offers a unique environment for economists to thrive. As an economist at Prime, you will apply the frontier of econometric and economic methods to Amazon’s terabytes of data and intriguing customer problems. Your expertise in building reduced-form or structural causal inference models is exemplary in Amazon. Your strategic thinking in designing mechanisms and products influences how Amazon evolves.In this role, you will build ground-breaking, state-of-the-art causal inference models to guide multi-million-dollar investment decisions. You will execute and expand a research roadmap that connects science, business, and engineering and contributes to Amazon Prime’s long term success. As one of the first economists outside North America/EU, you will make an outsized impact to our international marketplaces and pioneer in expanding Amazon’s economist community in Asia.The ideal candidate will be an economist in empirical industrial organization, labour economics, or related structural/reduced-form causal inference fields. You are a self-starter who enjoys ambiguity in a fast-paced and ever-changing environment. You think big on the next game-changing opportunity but also dive deep into every detail that matters. You insist on the highest standards and are consistent in delivering results.Primary Responsibilities:- Work with Product, Finance, Data Science, and Data Engineering teams across the globe to deliver data-driven insights and products for regional and world-wide launches.- Innovate on how Prime can leverage data analytics to grow faster.- Contribute to building a strong data science community in Amazon Asia.
US, WA, Seattle
Since its launch in 2014, Amazon Music has seen explosive user growth driven by integration with the highly successful Amazon Prime subscription program and Alexa voice-enabled devices. We are looking for a truly innovative Economist to work on disruptive ideas within the Amazon Music space. The role offers a unique opportunity to work in a fast growing Digital business on a central economist team focused on strategic and high-impact analysis for the business.A day in the lifeIn this role, you will own one or more models that measure and predict the value that the business creates (or the value of new opportunities) for our customers. You will be involved in all stages of the model life-cycle, from ideation to production. The successful candidate will work closely with stakeholders and translate data-driven findings into actionable insights. Our customers are Finance and Business leaders in the Music space who are looking for strategic insights on new investment opportunities, content investments and new feature launches.About the hiring groupThe Music Economist team is responsible for delivering transformational customer insights that drive marketing, content and product strategy for the Amazon Music streaming service. Team members are expected to independently own high-impact analysis which is presented to senior level business stakeholders. On the team, you will work with a high degree of independence in a collaborative environment of economists and other scientists, product managers, data engineers and software developers.Job responsibilities· Build scalable analytic solutions using state of the art tools based on large datasets· Build econometric models, conduct statistical/machine learning analyses, or design experiments to measure the value of the business and its many features· Independently identify new opportunities for leveraging economic insights and models in the Music business· Develop and execute science products from concept, prototype to production incorporating feedback from customers, scientists and business leaders· Write both technical white papers and business-facing documents to clearly explain complex technical concepts to audiences with diverse business/scientific backgroundsAmazon 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
We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Python is necessary, and experience with SQL and UNIX would be a plus.These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, scientists, and product managers. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 50% of previous cohorts have converted to full time scientist employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com.
US, CA, San Diego
Amazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.Economists at Amazon will be expected to work directly with senior management on key business problems faced in retail, international retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations. Amazon economists will apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.
US, CA, San Diego
Amazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.Economists at Amazon will be expected to work directly with senior management on key business problems faced in retail, international retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations. Amazon economists will apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.
US, WA, Seattle
We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Python is necessary, and experience with SQL and UNIX would be a plus.These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, scientists, and product managers. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 50% of previous cohorts have converted to full time scientist employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com.
US, WA, Seattle
Are you interested in shaping the future of Advertising and B2B Marketing? We are a growing team with an exciting charter and need your passion, innovative thinking, and creativity to help take our products to new heights. Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon owned and operated sites and on other high quality sites across the web. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, world-class advertising product with a relentless focus on the customer, you’ve come to the right place.The future of our business is compelling and we are focused on building a robust, innovative business, enabling advertisers of all sizes. Our advertising products range from eCommerce ads that integrate the power of familiar shopping features to visually stunning Kindle screensavers. We can reach customers on Amazon properties, both web and mobile, and across our ad platform. A strategic part of our charter is to build a portfolio of self-service, cost-per-click advertising programs to enable both large and small advertisers to engage with customers in relevant ways. Core to these programs is our understanding of our advertisers and marketing programs from a robust analytical perspective. Teams are dedicated to diving deep into telemetry and performance data to drive insights and future marketing strategy to grow our self-service advertising programs among advertisers.As an Economist on Marketing Science team, you will build Econometric and Machine Learning models for causal inference and prediction, using our world class data systems. You will apply economic theory to solve business problems in a fast-moving environment, and analyze the customer behavior of the advertisers on Amazon. You will measure and predict the lifetime value of existing and future products, and build scalable systems to ensure that our models have broad applicability and large impact. You will work with Scientists, Economists, Product Managers, and Software Developers to provide business solutions and increase the velocity, quality, and scope behind our recommendations.
US, WA, Seattle
Core AI is an interdisciplinary team on the cutting edge of economics, statistical analysis, and machine learning whose mission is to solve AI and ML problems that have high risk with abnormally high returns. Our team leverages the strengths of our engineers and scientists to build solutions for some of the toughest business problems here at Amazon.We are looking for a seasoned economist who is able to provide structure, including sourcing, defining, and leveling, around complex and varied business problems. We seek 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.This role will be to work within Core AI to help support research and development on rapid proofs of concept for high-impact projects. The economist will have access to engineering and econometric tools, as well as Amazon's Scholar Residency Program, which consists of world-class academic scientists and researchers collaborating with internal partner teams to facilitate the delivery of Scholar led science into engineering systems
US, WA, Seattle
The Global Specialty Fulfillment (GSF) team that delights millions of customers around the world by delivering our most complex product lines at speeds that redefine the bar. The GSF Strategies Team is a collaborative group of Business Analysts, Business Intelligence Engineers, Data Engineers, Data Scientists, Economists, Product Managers, and Program Managers that creates people-centric innovations this business and their workforce of over a hundred thousand valued associates and leaders.We are now recruiting for an exceptional Economist, Global OperationsThe ideal candidate will be:· A Well-Rounded Athlete – You understand that we succeed or fail as a team. You are always ready to step up beyond your core responsibilities and go the extra mile for the project and your team. You nimbly overcome barriers to deliver the best products more quickly than expected.· A Perpetual Student – You seek knowledge and insight. You turn moments into master’s classes. Whether closing a gap, developing a new skill, or staying ahead of your industry, you revel in the joy of learning and growing.· A Skilled Communicator – You excel when interacting with business and technical partners whether you are chatting, sending a written message, or conducting a presentation.· A Trusted Advisor – You work closely with stakeholders to define key business needs and deliver on commitments. You enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.· An Inventor at Heart – You innovate on behalf of your customer by proactively implementing improvements, enhancements, and customizations. Your customers marvel at your creative solutions to their unidentified needs.· A Fearless Explorer – You are drawn to take on the hardest problems, navigate ambiguity, and see possibility in what others view with skepticism. You never settle, even in the face of overwhelming obstacles.You will:· Collaborate with business intel and data engineering teams to collect new data and refine of existing data sources to continually improve solutions· Test hypotheses in a high-ambiguity environment making use of qualitative data, judgment, and customer feedback.· Utilize code (Python, R, Scala, etc.) to design, build, and manage scientifically-sound, production-grade models and hands-off-the-wheel solutions that solve specific business problems· Advocate for your customer and align your stakeholders to address our most pressing needs· Distill informal customer requirements into problem definitions· Manage and quantify improvement in customer experience or value for the business resulting from research outcomes· Convey rigorous mathematical concepts and considerations to non-expertsAmazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
US, WA, Seattle
The Amazon Economics Team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as familiarity with Stata is necessary, and experience with SQL, Python, and big data would be a plus.These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, data scientists and MBAʼs. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 50% of research assistants from previous cohorts have converted to full time data science or economics employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
US, VA, Arlington
Amazon Web Services (AWS) is obsessed with ensuring the success of our customers. To this end, AWS is learning how to best train, compensate, and deploy its large and growing global salesforce. Which payment plans lead to good customer outcomes in the long run? What type of training – and how much – helps drive opportunity creation and win rate? What customers would benefit most from the help of an AWS expert? To what regions of the world would we want to deploy more headcount and other resources? These are the types of questions our team seeks to answer.AWS is hiring an economist specializing in program evaluation / reduced form causal analysis to help estimate the impact of – and then optimize – different compensation, training, and assignment programs. While causal analysis is our bread and butter, we see opportunities for those who have (or are willing to invest in building) broad skillsets. If you have an EIO or forecasting background, we’d love to talk.Job Locations: Seattle, WA
US, VA, Arlington
Global Talent Management (GTM) at Amazon owns a suite of products which helps drive career development for hundreds of thousands of Amazonians across the world. GTM - Science utilizes a wide array of data sources to conduct analytics and create predictive models that fuel recommendations, actions, and insights in nearly a dozen software systems. The team itself is composed of a variety of scientists and engineers with varied backgrounds, coming together to create diverse and innovative solutions to the problems faced by the one of the world’s largest and fastest growing workforce.This role will support several key projects in GTM. One is to define the methodology and model for measuring the Amazon performance bar and predicting key talent actions. The other is to build structure model to identify key retention drivers.If you’re interested in building models that impact thousands of Amazonians, to inform talent management decisions, this role is for you. These are exciting fast-paced businesses in which work on extremely interesting analytical problems, in an environment where you get to learn from other experienced economists and apply econometrics at massive scale.You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.· Build structural economics model· Conduct causal evaluation· Work collaboratively with economists and other scientists to assist in the design and implementation of analysis to answer challenging HR questions· Interpret and communicate results to outside customers· Aggregate and analyze data pulled from disparate sources (HR, Finance or other business systems) and related industry and external benchmarks; provide insights and a point of view on analysis and recommendations· Assist in the design and delivery of automated, scalable analytical models to stakeholders· Report results in a manner which is both statistically rigorous and compellingly relevant
US, WA, Seattle
Our TeamThe YETI team harnesses financial analytics, science, and technology to crack WW Consumer Finance’s toughest challenges and power smart decision-making throughout the organization. We are data leaders who deliver today’s actionable financial analyses and tomorrow’s durable frameworks and software.Key responsibilitiesWe are looking for an outstanding economist to drive forecasting initiatives throughout WW Consumer Finance. You will develop core forecasting methodologies for all of WW Consumer Finance and build scalable forecasting models for financial metrics. The forecasts you build will provide insight into the drivers of future financial performance and help to guide future plans throughout the Consumer business.This role is a unique opportunity to work with a world-class forecasting organization to build financial forecasts from the ground up and reinvent how Finance operates at Amazon scale. You will own and accelerate components of an automated, scalable science-based forecasting system to save Amazonians millions of hours a year. This is a critical initiative for which you will partner with senior finance and data leaders to identify, prioritize, and resolve endemic capabilities gaps.The ideal candidate combines time-series economics acumen with strong business judgement. You have versatile modeling skills and are comfortable owning and extracting insights from data. You are excited to learn from and alongside seasoned analysts, scientists, engineers, and business leaders. You are an excellent communicator and effectively translate technical findings into business action.
US, WA, Seattle
Amazon is building the most innovative Business-to-Business (B2B) marketplace in the world, and we are recruiting to make this vision a reality. 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. Our customers include individual professionals, small businesses and large enterprises (and everything in between).The Amazon Business Science and Analytics team (ABSA) owns the science and analytics for key AB problems including price setting and selection additions. We are looking for a Sr. Economist to contribute to these areas with a focus on AB pricing strategy and developing key pricing models.We are seeking candidates skilled in quantitative methods, including classical statistics and machine learning approaches. You will be comfortable with highly ambiguous problems and thinking carefully and systematically about the needs of the business, our customers, and selling partners. You will develop practical solutions to drive the business while maintaining a high standard of scientific excellence. You will collaborate with world-class economists and scientists across Amazon.Responsibilities:· Contribute to pricing strategy development based on economic theory and data analysis· Develop models to measure elasticities and infer competitive prices· Collaborate with product and engineering teams both within and outside of AB Pricing to launch automated science-based pricing systems
US, WA, Seattle
The Amazon Economics Team is hiring Interns in Economics for Human Resources Central Science (HRCS). HRCS is a newly-formed, central team that uses data-driven methods to identify, measure and deploy mechanisms that support Amazon’s workforce – from skills development to new, meaningful, and impactful employee benefits. We are an interdisciplinary team that combines the talents of economics, science, and engineering to develop and deliver solutions that measurably improve the well-being of Amazonians.We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Stata or R is necessary, and experience with Python or SQL would be a plus.These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, data scientists and MBAs. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 50% of research assistants from previous cohorts have converted to full time data science or economics employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
US, WA, Seattle
The Amazon Economics Team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Stata, R, or Python is necessary, and experience with SQL, UNIX, and AWS service would be a plus.These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, data scientists and MBAʼs. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 50% of research assistants from previous cohorts have converted to full time data science or economics employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
US, WA, Seattle
The Amazon Selling Partner Services Team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Interns will work within an established Economics and Computer Science team to help build the next level of intelligence that will help Amazon Marketplace Sellers to succeed and grow their businesses. Strong knowledge of econometrics, as well as familiarity with Python or R is necessary, and experience with Causal Modeling, SQL, and Scala would be a plus.These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, data scientists and MBAʼs. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 50% of research assistants from previous cohorts have converted to full time data science or economics employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com.