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US, WA, Seattle
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, WA, Seattle
Amazon strives to ensure that customers have access to a wide selection of goods, and that those goods meet all safety and regulatory standards. A new economics team launched by PARS-Tech (Product Assurance, Risk, and Security) will proactively study process improvements that maintain selection while simultaneously ensuring safety of our customers, partners, and Associates.The team is small but influential, and will work with the broader PARS team to develop science in this new area. A unique highlight of this team is that it offers an all-encompassing glimpse of the logistical chain, including: product development, transport across borders, storage and handling in fulfillment centers, information presentation on the detail page, shipping and returns. The team will be incubated for the first year inside of Core AI, an interdisciplinary team working 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. Core AI offers access to world-class academic scientists and researchers that will consult and collaborate in developing 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 strives to ensure that customers have access to a wide selection of goods, and that those goods meet all safety and regulatory standards. A new economics team launched by PARS-Tech (Product Assurance, Risk, and Security) will proactively study process improvements that maintain selection while simultaneously ensuring safety of our customers, partners, and Associates.The team is small but influential, and will work with the broader PARS team to develop science in this new area. A unique highlight of this team is that it offers an all-encompassing glimpse of the logistical chain, including: product development, transport across borders, storage and handling in fulfillment centers, information presentation on the detail page, shipping and returns. The team will be incubated for the first year inside of Core AI, an interdisciplinary team working 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. Core AI offers access to world-class academic scientists and researchers that will consult and collaborate in developing 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 strives to ensure that customers have access to a wide selection of goods, and that those goods meet all safety and regulatory standards. A new economics team launched by PARS-Tech (Product Assurance, Risk, and Security) will proactively study process improvements that maintain selection while simultaneously ensuring safety of our customers, partners, and Associates.The team is small but influential, and will work with the broader PARS team to develop science in this new area. A unique highlight of this team is that it offers an all-encompassing glimpse of the logistical chain, including: product development, transport across borders, storage and handling in fulfillment centers, information presentation on the detail page, shipping and returns. The team will be incubated for the first year inside of Core AI, an interdisciplinary team working 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. Core AI offers access to world-class academic scientists and researchers that will consult and collaborate in developing 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
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
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 or R is necessary, and experience with SQL, UNIX, and Sawtooth 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, send your CV, transcripts, and a cover letter 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, Virtual
Amazon WW Consumer Finance is looking for a seasoned Principal 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. The Principal Economist will lead a new team that develops and expands the tools and skill sets necessary to quickly report on causal attribution for how internal Amazon programs and decisions contribute to changes to Amazon’s WW consumer business in a rapidly changing environment. For example, this team will develop the capability and automated solution to 1) quantify the business-wide impact of policies and strategic decisions, 2) use data science tools to quickly bridge growth changes to internal drivers, 3) support cost and profit attribution in internal tools, 4) provide data driven guidance on key business decisions and trade-offs, and 5) have the audit capability to track how projected downstream program benefits are actually realized and adjust future projections accordingly.The Principal Economist will also provide thought leadership to Data Scientists and Economists embedded on other teams throughout the WW Consumer Finance organization. The Principal Economist and his/her team will be a central science resource, and will provide consulting and science supervision across the WW Consumer Finance organization.
US, MD, Virtual Location - Maryland
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 Seattle, Chicago, Toronto, Santa Monica, Arlington, Jersey City/NYC, Austin, and Boulder/Denver#madsjob#sspajobs
US, WA, Seattle
Exciting opportunity to join the team that owns the science behind AWS HR products, programs, and metrics. We come up with innovative ways to use econometrics, ML, and economic theory to improve the experience of AWS employees and to help HR/recruiters put the right people in the right place at the right time to staff all of AWS.Responsibilities include:· Build state of the art models to predict employee headcount and movements across all Amazon businesses· Build models to understand drivers of promotion, attrition, transfers, and hires· Identify and work with external and internal talent data-sets and develop ways to combine the two to answer important talent research questions· Work with other scientists, Data Engineers, and SDEs on the team to scale solutions that have a strong business impact· Suggest experiments and mechanisms to quantify the impact of policy changes on talent movement· Work with AWS HR scientists and leadership to develop research roadmap; identify and pitch new opportunities to leadership that are suggested by the data
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.The Global Advertising Partner Development (GAPD) Economics team is looking for an experienced and motivated Economist that quickly can approach highly ambiguous problems. You will get the opportunity to apply your economic expertise to identify opportunities for further research and provide insights that drive larger initiatives. You will be a key contributor in developing economic insights and building analytical solutions for our advertising partners and advertisers. Key responsibilities include:· Partnering with economists, scientists, developers, and senior team members to drive science and implement technical solutions using econometrics and machine learning· Develop insights around key business drivers for advertising partners· Contribute to building a scalable experimental framework that helps stakeholders make data-driven informed decisions· Communicate verbally and in writing to senior leaders with various levels of technical knowledge, educating them about your approach, as well as sharing insights and recommendations
BR
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 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
The DAC Ads Core Econ Team is looking for an experienced PhD economist. The ideal candidate will have expertise in Empirical Industrial Organization. You will lead science projects using cutting edge econometrics and ML to advance science behind our advertisement business.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
The Central AWS Econ team is dedicated to bringing the most trustworthy evidence-based analysis to the most strategic decisions for AWS leadership.Our studies impact strategic investments, service business model, resource allocation, product priorities and pricing models, go-to-market motions and more.This economist role partners with AWS business leaders across the organization to define and deliver on economic questions that guide their most strategic decisions. The successful candidate will be a problem solver who enjoys diving into data, is excited by difficult modeling challenges and ambiguous starting points, and possesses strong communication skills to effectively interface and collaborate with product, finance, planning and business teams.Specific questions include developing supporting economics for new business model, evaluating the relationship between short and long term growth, mapping and affecting the customer journey through different AWS products and cloud technologies.The Central AWS Econ team is dedicated to answering these (and many more) questions using quantitative, economic and statistical methods.Key Responsibilities:· Frame and conduct economic studies, from question definition to and communicating practical implications to senior leadership· Develop new repeatable data analysis pipelines to be used by non-economists
CA, BC, Vancouver
Terms of employment: Full time, permanentJob location: 595 Burrard Street, 12th floor Vancouver, BC V7X 1L4Are you interested in the process that generates prices for hundreds of millions of products globally? Would you like to influence those prices to affect the lives of millions of Amazon users? Amazon's Pricing organization needs an experienced economist to join an R&D team that sets the price for products sold by Amazon. This team models, tests, and owns end-to-end business problems directly affecting the profitability of the company and improving value to our customers. The output of this team has a big impact on how Amazon conducts business, and on the bottom line.Pricing economists apply the frontier of economic thinking to pricing, forecasting, program evaluation, and opportunity quantification. You will build elasticity, demand and other economic models using our world class data systems and will apply economic theory to solve business problems in a fast moving environment. Pricing economists at Amazon are expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems performing billions of price evaluations per day. Pricing is creating a new R&D arm in this space offering you the opportunity to directly influence new programs from their inception.The successful candidate for this position will 1) rigorously apply state-of-the-art methods in their field to existing predictive, analytic, and modeling efforts already underway (2) identify new and promising strategy improvements through modeling and testing of novel approaches (3) connect with other economists, research scientists, and business leaders throughout Amazon to ensure Pricing innovations benefit and are benefitted by progress across the company.Work responsibilities· Bring innovative ideas grounded in best practices in your field to bear on a variety of problems in Pricing.· Influence Pricing strategy and direction by providing subject matter expertise in modeling and testing of end-to-end systems.· Recommend mechanisms for evaluating, measuring, and validating the strategies and models you develop.· Make recommendations for adjustments to increase strategy and system value based on model refinements.· Identify areas for continuous improvement and research.Salary $113,200 - $189,200 /yr, commensurate with experience
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. 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
Are you passionate about leveraging your economics/econometrics skills and data to deliver actionable insights that impact daily business decisions at Amazon? Does the prospect of dealing with large data excite you? Do you like getting "scrappy" with data and applied economics tools to answer challenging product and customer behavior questions? Do you enjoy building flexible, performant, and global solutions for complex financial, risk, and causal inference problems? If so, here is a great opportunity to consider!Amazon B2B Payments is seeking a thoughtful Economist who combines their technical economics/econometrics expertise with business intuition to build flexible, performant, and global solutions for complex business problems. You will generate critical insights to set the strategic direction to enhance our product features and processes that will delight our customers.As an Economist on the Credit Systems Research team, you will design and build systems/solutions that support financial products. You will work closely with business partners, software and data engineers to build scalable solutions that deliver exceptional value for our customers. You will utilize intellectual and technical capabilities, problem solving and analytical skills, and excellent communication to deliver customer value. You will partner with product and operations management to launch new, or improve existing, financial products within B2B Payments.Responsibilities:You will help support our causal analysis and experimentation workstreams. You'll use novel and advanced causal economics/econometrics techniques to answer questions on a number of challenging business questions related to credit systems products within B2B Payments org. You will be responsible for researching insights as well as educating the business, product, marketing, and business development teams on the implementation of those insights to enable data-driven, day-to-day decision making. You will partner with our marketing, product management, global engineering, operations and Finance teams to:· Contribute to the development and enhancement of business payment products and features.· Use observational as well as experimental data and develop empirical econometric analysis and models to drive the business and improve our causal inference workstream.· Understand business and product strategies, goals and objectives. Help set the causal and experimental roadmap to drive the goals of the business.· Analyze and solve problems at their root, stepping back to understand the broader context.· Provide support on experimental design, exploratory data analysis, pricing experiments, and data management.
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 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
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 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
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 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, NY, New York
The AWS Central Economics team is looking for a PhD economist. The ideal candidate will have some experience with causal estimation and/or with empirical industrial organization techniques. Working knowledge of R is a plus.You will support cloud services. You will work on analytic projects requested by senior leadership. You will get the opportunity to learn new techniques.