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Developing sophisticated approaches and systems to deliver the broadest selection of products and services at the lowest prices.

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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, WA, Seattle
The Human Resources Central Science Team (HRCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.We are looking for economists who are able to provide structure around complex business problems, hone those complex problems into specific, scientific questions, and test those questions to generate insights. The ideal candidate will work with engineers and computer scientists to estimate models and algorithms on large scale data, design pilots and measure their impact, and transform successful prototypes into improved policies and programs at scale. We are looking for creative thinkers who can combine a strong technical economic toolbox with a desire to learn from other disciplines, and who know how to execute and deliver on big ideas as part of an interdisciplinary technical team.Ideal candidates will work closely with business partners to develop science that solves the most important business challenges. They will work in a team setting with individuals from diverse disciplines and backgrounds. They will serve as an ambassador for science and a scientific resource for business teams, so that scientific processes permeate throughout the HR organization to the benefit of Amazonians and Amazon. Ideal candidates will own the development of scientific models and manage the data analysis, modeling, and experimentation that is necessary for estimating and validating models. They will work closely with engineering teams to develop scalable data resources to support rapid insights, and take successful models and findings into production as new products and services. They will be customer-centric and will communicate scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions.
US, WA, Seattle
The Human Resources Central Science Team (HRCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.We are looking for economists who are able to provide structure around complex business problems, hone those complex problems into specific, scientific questions, and test those questions to generate insights. The ideal candidate will work with engineers and computer scientists to estimate models and algorithms on large scale data, design pilots and measure their impact, and transform successful prototypes into improved policies and programs at scale. We are looking for creative thinkers who can combine a strong technical economic toolbox with a desire to learn from other disciplines, and who know how to execute and deliver on big ideas as part of an interdisciplinary technical team.Ideal candidates will work closely with business partners to develop science that solves the most important business challenges. They will work in a team setting with individuals from diverse disciplines and backgrounds. They will serve as an ambassador for science and a scientific resource for business teams, so that scientific processes permeate throughout the HR organization to the benefit of Amazonians and Amazon. Ideal candidates will own the development of scientific models and manage the data analysis, modeling, and experimentation that is necessary for estimating and validating models. They will work closely with engineering teams to develop scalable data resources to support rapid insights, and take successful models and findings into production as new products and services. They will be customer-centric and will communicate scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions.
US, WA, Seattle
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 workforces.This role will support the advancement of key workforce planning products owned by the team. The role will be a scientific lead for forecasting in the organization and a thought leader for forecasting applications throughout HR. If you’re interested in building models used regularly by thousands of Amazonians, to inform talent management decisions, this role is for you. You will support 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 and operationalize econometric and statistical models· Perform model refreshes or updates to analyses as needed· Work collaboratively with economists and research 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, 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 workforces.This role will support the advancement of key workforce planning products owned by the team. The role will be a scientific lead for forecasting in the organization and a thought leader for forecasting applications throughout HR. If you’re interested in building models used regularly by 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 and operationalize econometric and statistical models· Perform model refreshes or updates to analyses as needed· Work collaboratively with economists and research 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
Millions of Sellers list their products for sale on the Amazon Marketplace. Sellers are a critical part of Amazon’s ecosystem to deliver on our vision of offering the Earth’s largest selection and lowest prices. In this ecosystem, the International Seller Services org (ISS) plays a critical role in enabling Sellers across EU5, China, Japan, Australia, Brazil and Turkey to make their Selection available to customers globally and deliver the experience they have come to expect from Amazon.ISS is looking for a results driven Economist to join its Econometrics and Science team in Seattle. The Economist will work closely with other research scientists, machine learning experts, and economists to design new frameworks that systematically identify low touch machine driven recommendations that propel seller growth while creating a meaningful economic impact for Amazon. Research science at Amazon is a highly experimental activity, although theoretical analysis and innovation are also welcome. Our economists and scientists work closely with software engineers to put algorithms into practice. They also work on cross-disciplinary efforts with other scientists within Amazon.The key strategic objectives for this role include:· Model seller behavior, identify success metrics, impacts, and key drivers of seller success· Conceptualize and lead global research initiatives· Guide the technical approach for the design and implementation of successful models and algorithms in support of expert cross-functional teams delivering on demanding projects· Conduct, direct, and coordinate all phases of research projects, demonstrating skill in all stages of the analysis process, including defining key research questions, recommending measures, working with multiple data sources, evaluating methodology and design, executing analysis plans, interpreting and communicating results· Functionally decompose complex problems into simple, straight-forward solutions.If you have an entrepreneurial spirit, you know how to deliver, and you are deeply quantitative, highly innovative, and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
US, WA, Seattle
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.We are looking for an experienced PhD economist to build long-term causal estimation products using a combination of econometrics, machine learning and statistics leveraging the power of big data. These products lay the foundation of several key initiatives and strategic program investments at Amazon, generating multiple $Bns in incremental value across the company. In this role, you will work closely with some of the leading researchers on causal inference like Guido Imbens (Professor of Economics at Stanford University) and Victor Chernozhukov (Professor of Economics at MIT).Key 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.
US, WA, Seattle
Core AI is an interdisciplinary team working on the cutting edge of economics, statistical analysis, and machine learning. The team leverages current science (and invents new science) to tackle Amazon's toughest and most impactful problems, and to guide senior-level decision-making.We are looking for a seasoned economist to join a small policy team to conduct critical research to support partners in better understanding how Amazon impacts the people and regions where it operates. As a member of Core AI, you will collaborate closely with world-class academic scientists and researchers to develop, implement, and productionize solutions.The ideal candidate will be able to: (1) use economic theories to structure ambiguous problems; (2) define proper metrics and assemble unique datasets to test hypotheses; (3) assess and interpret (causal) empirical relationships using data; and (4) design and test how incentives affect behavior, taking into account dynamic long-term and strategic factors. 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.
US, WA, Seattle
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 our Chief Economists and senior management on key business problems. 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, Culver City
The DAC AdsEcon Team is looking for a PhD economist. You will lead science projects using cutting edge econometrics and ML to advance science.Advertising is used daily to surface new selection and provide customers a wider set of product choices along their shopping journeys. The business is focused on generating value for shoppers as well as advertisers. Our team uses a combination of econometrics, machine learning, and data science to build disruptive products for all our Advertising products. We also generate insights to guide Amazon Advertising strategy, providing direct support to senior leadership.
US, WA, Seattle
Interested in Amazon Alexa and the future of voice-powered connected devices? Interested in working in a high impact role? This is an opportunity to join one of the fastest-growing and most innovative businesses at Amazon. Third-party hardware makers can integrate the Alexa Voice Service (AVS), the brain behind Amazon Echo, into their products. AVS is enabling many new connected devices and exciting consumer use cases in the home and on the go.This role will serve as the lead economics POC supporting the AVS business. As part of this role, you will lead coordination with other economics POCs across the broader Alexa organization, and build out a longer-term roadmap for econ-related initiatives to support key AVS business priorities. You will lead several near-term initiatives with a focus on causal inference, and have opportunity for exposure to a broader set of focus areas over time (e.g. price elasticity).Responsibilities· Identification/measurement/tracking of specific High Value Actions (HVAs) and Negative Value Actions (NVAs) for driving engagement on AVS devices.· Own building, scaling, and managing HVA/NVA models.· Developing data-driven, scientific approaches to measure downstream value of various device interactions.· Developing data-driven, scientific approaches to measure the downstream impact of Alexa engagement on partner KPIs.· Conduct A/B testing to validate model performance.· Quantifying the business impact of product changes and strategic decisions.
US, WA, Seattle
The Human Resources Central Science Team (HRCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, 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 outstanding economists who are able to provide structure around complex business problems, hone those complex problems in to specific, scientific questions, and test those questions to generate insights. The ideal candidate will work with engineers and computer scientists to estimate models and algorithms on large scale data, design pilots and measure their impact, and transform successful prototypes into improved policies and programs at scale. We are looking for creative thinkers who can combine a strong technical economic toolbox with a desire to learn from other disciplines, and who know how to execute and deliver on big ideas as part of an interdisciplinary technical team.Ideal candidates will work closely with business partners to develop science that solves the most important business challenges. They will work well in a team setting with individuals from diverse disciplines and backgrounds. They will serve as an ambassador for science and a scientific resource for business teams, so that scientific processes permeate throughout the HR organization to the benefit of Amazonians and Amazon. Ideal candidates will own the development of scientific models and manage the data analysis, modeling, and experimentation that is necessary for estimating and validating model model. They will work closely with engineering teams to develop scalable data resources to support rapid insights, and take successful models and findings into production as new products and services. They will be customer-centric – clearly communicating scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions.
US, NY, New York
The AWS Central Economics team is looking for a PhD economist. The ideal candidate will have experience with time-series forecasting.You will learn about cloud products, including compute, storage, and databases. You will work on analytic projects requested by senior leadership. You will get the opportunity to learn new techniques. You will be a part of a team with many experienced economists.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
US, CO, Boulder
Passionate about Machine Learning, Causal Inference, and Big Data Systems? Interested in building new state-of-the-art measurement products at petabyte scale? Be part of a team of industry leading experts that operates one of the largest analytics and data science ecosystems at Amazon. Amazon is leveraging its highly unique data and applying the latest machine learning and big data technologies available to change the way marketers optimize their advertising spend. Our campaign measurement and reporting systems apply these technologies on terabytes of data a day (over 50B new events per day).You'll be one of the scientists tackling some of the hardest problems in advertising; measuring ads incrementality, providing estimated counterfactuals and predicting the success of advertising strategies. You and you team will develop state of the art causal learning, deep learning, and predictive techniques to help marketers understand and optimize their spend.Some things you'll do in this role:· Work closely with other scientists and engineers to architect and develop the best technical design and approach.· Be a hands-on technical leader, developing novel algorithms and applications to solve hard problems· Deliver with independence on challenging large scale problems with significant ambiguity· Write cogent summaries of your work, accessible to other science and business leadersWe are open to hiring this role in Boulder/Denver, Chicago, Toronto, Santa Monica, Arlington, Jersey City/NYC, Austin, and Seattle#madsjob#sspajobs
US, NY, New York
Sponsored Advertising Finance at Amazon.com is seeking an exceptional Economist to join us. The most important question the team trying to answer includes: What are the long-term impacts of our initiatives? Where will Advertising’s growth come from in the next year? How big the Advertising business become over the next three years? Which widgets are poised to quintuple in size? What are the interactions between consumer and Ads business?We’re building a team to answer these questions using economics methods. This Economist role will collaborate directly with other economists, data scientists, financial managers and engineers to do causal impact analysis, build accurate predictive models, and will have exposure to senior leadership as we communicate results and provide scientific guidance to the business.A successful candidate will be a problem solver who excels in translating broad business problems into specific analytics projects, enjoys diving into data, is excited by difficult modeling challenges, and possesses strong communication skills to effectively interact with the business teams.Key Responsibilities· Collaborate with economists, data scientists, financial managers, and business leaders to define product requirements, provide science support, and communicate feedback.· Implement economics methods to solve specific business problems utilizing code (Python, R, Scala, etc.).· Improve existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.· Presenting data in a format that is immediately useful to answer the critical business questions.
US, CA, Culver City
Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is one of the leading streaming services today, and we're just getting started. We need your passion, innovative ideas, and creativity to help take the service to new heights.The Amazon Studios team is chartered to produce original content and license studio programs worldwide in service of Amazon’s Prime Video customers. The team is responsible for bringing popular TV and movies to their customers and introducing distinctive, award-winning originals like The Marvelous Mrs. Maisel and ground-breaking, popular shows like The Man in the High Castle, Jack Ryan, and The Boys.We are looking for a customer-focused, business-oriented Economist to join our Amazon Studio Data Science team, which focuses on building analytical tools to optimally deploy content investment based on projected value, fit with customer needs, content traits with disproportionate impact, and risk-return tradeoffs. You will work closely with business and finance leaders in support of content programming & scheduling, portfolio optimization, show development, and greenlighting decisions. You will use econometric and causal attribution techniques to discover the kinds of differentiated and irreplaceable shows people value most, what they want more of, and how to fit a diverse portfolio of titles together to deliver a clear, compelling proposition that is greater than the sum of its parts. The analysis you conduct and algorithms you create will help drive and define the future of television for millions of customers globally.
US, WA, Seattle
Amazon delights millions of customers around the world. Meet the behind the scenes team that enables our Human Resource and Operations Leaders to make informed decisions. The Amazon PeopleInsight team builds reporting and analytics tools for our teams that fulfill customer promise every day. Whether it is Fulfillment Center team that delivers your Prime order in two days, our Amazon Locker team that lets you pick up your package anytime that is convenient for you, our Prime Now team getting you lunch in under an hour, or one of many more, the PeopleInsight group is there providing people metrics along the employee lifecycle for our global operations businesses. The PeopleInsight team is a collaborative group of Business Analysts, Business Intelligence Engineers, Data Engineers, Data Scientists, Product Managers, and Program Managers dedicated to empowering leaders and enabling action through data and science. We deliver workforce, associate experience, and leadership insights so Amazon leaders can focus their efforts in ways that will engage, retain and grow their associates.We are now recruiting for an exceptional Data Scientist, Worldwide OperationsThe ideal candidate will be:· A Well-Rounded Athlete –Like a true 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 challenge yourself to 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 challenges they had not yet identified.· A Fearless Explorer – You are drawn to take on the hardest problems, navigate ambiguity, and battle skepticism. You never settle, even in the face of overwhelming obstacles.Roles and ResponsibilitiesSuccess in this role will include influencing within your team and mentoring peers. The problems you will consider will be difficult to solve and often require a range of data science methodologies combined with subject matter expertise. You will need to be capable of gathering and using complex data set across domains. You will deliver artifacts on medium size projects, define the methodology, and own the analysis. Your findings will affect important business decisions. Solutions are testable and reproducible. You will create documents and share findings in line with scientific best practices for both technical and nontechnical audiences.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
US, WA, Seattle
The Economic Technology team (ET) is looking for an Economist to join our team in building Reinforcement Learning solutions at scale. The ET applies Econometrics/Economics, Machine Learning, Reinforcement Learning, and Causal Inference, to derive actionable insights about the complex economy of Amazon’s retail business. We also develop Statistical Models and Algorithms to drive strategic business decisions and improve operations. We are an interdisciplinary team of Economists, Engineers, and Scientists incubating and building day one solutions using cutting-edge technology, to solve some of the toughest business problems at Amazon.You will work with business leaders, economists, scientists and engineers to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable distributed services. You will partner with scientists, economists, and engineers to help invent and implement scalable ML, RL, and econometric models while building tools to help our customers gain and apply insights. This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale economic problems, enable measurable actions on the Consumer economy, and work closely with scientists and economists. We are particularly interested in candidates with experience building predictive models and working with distributed systems.As an Economist, you bring business and industry context to science and technology decisions. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. You will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.
US, WA, Seattle
Core AI is an interdisciplinary team working on the cutting edge of economics, statistical analysis, and machine learning. The team leverages current science (and invents new science) to tackle Amazon's toughest and most impactful problems, and to guide senior-level decision-making.We are looking for a seasoned economist to join a small policy team to conduct critical research to support partners in better understanding how Amazon impacts the people and regions where it operates. As a member of Core AI, you will collaborate closely with world-class academic scientists and researchers to develop, implement, and productionize solutions.The ideal candidate will be able to: (1) use economic theories to structure ambiguous problems; (2) define proper metrics and assemble unique datasets to test hypotheses; (3) assess and interpret (causal) empirical relationships using data; and (4) design and test how incentives affect behavior, taking into account dynamic long-term and strategic factors. 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.
US, WA, Seattle
Economists at Amazon will work directly with other economists, other scientists, engineers, researchers and senior management on key business problems. The Cross Category and Cross Channel Marketing (XCM) Insights team at Amazon is looking for an experienced economist to join our team. This position will be responsible for developing and supporting best-in-class modeling methodologies and supporting techniques to answer ambiguous business questions. The Economist needs to apply the cutting-edge econometric methodologies to large datasets to infer causality. Upon completion of statistical analysis, the Economist draws insights and produces reports by translating technical framework to business-oriented recommendations.This role requires an individual with excellent analytical abilities as well as outstanding business acumen. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, vocally self-critical, an ability to work in a fast-paced and ever-changing environment. He/She recognizes that the true measure of the success of the work product is based on the business impact the findings have had.Responsibilities include:·Develop econometric or machine learning models for ad hoc requests, projects and on-going measurements, and increasing efficiency by operationalizing data feeds from various data sources·Design experiment to validate causal results derived from observational data· Provide technical supports for designing and measuring randomized experiments· Design research, analysis, and modeling plans· Interpret data, writing reports, and make actionable recommendations· Support consumer research projects both in the US and Internationally; these may be either primary research or secondary data projects· Keys to success in this role include exceptional analytics, statistics, judgment, and communication skills. The candidate will need to be able to extract insights from data and be able to clearly communicate appropriate triggers and actions
US, WA, Seattle
The Cross Category and Cross Channel Marketing (XCM) Insights team is looking for an analytical and technically skilled economist to join our team. This position will be responsible for developing and supporting best-in-class modeling methodologies and supporting techniques to answer ambiguous business questions. The Economist needs to be familiar with experimental design and experimental economics. The Economist needs to model variations related with advertising, perception, and customers’ shopping behavior. Upon completion of statistical analysis, the Economist draws insights and produces reports by translating technical framework to business-oriented recommendations.This role requires an individual with excellent analytical abilities as well as outstanding business acumen. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, vocally self-critical, an ability to work in a fast-paced and ever-changing environment. He/She recognizes that the true measure of the success of the work product is based on the business impact the findings have had.Responsibilities include:· Develop econometric or machine learning models for ad hoc requests, projects and on-going measurements, and increasing efficiency by operationalizing data feeds from various data sources· Use large datasets or experiments to make causal inferences or predictions· Providing technical supports for designing and measuring randomized experiments· Interpreting data, writing reports, and making actionable recommendations· Keys to success in this role include exceptional analytics, statistics, judgment, and communication skills. The candidate will need to be able to extract insights from data and be able to clearly communicate appropriate triggers and actions