Economics.svg
Research Area

Economics

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

Related publications

View All
  • 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

Related content

View from space of a connected network around planet Earth representing the Internet of Things.
Get more from Amazon Science
Sign up for our monthly newsletter

Work with us

See More Jobs
US, WA, Seattle
Job summaryThe F3 (Fresh, Food, Fast) organization leads the innovation of Amazon’s ultra-fast grocery product initiatives including fresh groceries, household essentials, and its most popular products from Amazon.com. In this space Amazon aims to delight customers by delivering orders faster than ever before. With programs like Amazon Fresh and Prime Now, Prime members can now skip a trip to the store by shopping on the Amazon app and website for products like grocery staples, paper towels, shampoo, books, toys, batteries and more with orders delivered right to their door as quick as an hour.The Grocery Management Science team in F3 is looking for a senior economist to determine the long-term vision for how we manage selection of products for Fresh. As an economist, you will work with product managers, SDEs, vendor managers, and business intelligence engineers to help the Fresh organization determine optimal selection in stores and online through modelling of key customer behavior such as substitutability/complementarity of products, expected demand, etc. You will be expected to own the development of econometric models and to manage the modelling and validation work for your analysis products, working with SDEs to integrate the models into production systems.A successful candidate will be able to partner effectively with both business and technical teams, including clear communication of results and the ability to influence a variety of stakeholders. He/she will be an expert in drawing customer insights through structural modelling techniques and have experience manipulating large data sets. The role will also include running experiments to validate developed econometric approaches. This high-impact role provides a great opportunity to demonstrate the ability to dive deep, deliver results, think big, invent and simplify, and earn trust. It will also allow for combining machine learning techniques with econometrics to improve our ability to serve customers.
US, WA, Seattle
Job summaryThe Selling Partner Fees team owns the end-to-end fees experience for two million active third party sellers. We own the fee strategy, fee seller experience, fee accuracy and integrity, fee science and analytics, and we provide scalable technology to monetize all services available to third-party sellers.We are looking for a motivated Economist to lead the development of models to enhance our pricing calculation for services used by third party sellers. In this role, you will develop structural and causal models to determine how third party sellers react to changes in fees and policies worldwide. You will use your findings to influence the development of new products and pricing strategies impacting the millions of sellers using the Amazon marketplace. The ideal candidate will have experience with large scale marketplace behavior modeling, outstanding technical abilities, and strong business acumen. They will be comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment. The position requires working closely with other Economists, Data Scientists, Strategy Analysts, Product Managers, and Software Developers.Key job responsibilities· Design and develop complex models to assess the causal impact of fees on FBA Seller’s behavior.· Design and conduct experiments to validate theories and improve understanding of Amazon’s third party marketplace ecosystem.· Collaborate with product managers, data scientists and software developers to incorporate models into production processes and influence senior leaders.· Refine fee structures to improve FBA benefits for customers and sellers.· Serve as subject matter expert for seller economics related issues within the Amazon marketplace.
US, WA, Seattle
Are you passionate to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions to help Selling Partners and Customers on Amazon? Want to work on the business that is the lifeblood of Amazon? Selling on Amazon is one of the fastest growing businesses at Amazon.com and empowers millions of entrepreneurs worldwide. Our team will invent and innovate across technology, processes and people to grow the program, improve engagement and satisfaction and enable scalable solutions.We are looking for an Economist to lead us to identify data-driven insight and opportunities to improve our seller recruitment strategy and drive new seller success. As a successful economist on our talented team of scientists and engineers, you will solve complex problems to identify actionable opportunities, and collaborate with engineering, research, and business teams for future innovation. You need to be a sophisticated user of econometric models and advanced quantitative techniques for answering specific business questions, and an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication. You will continue to contribute to the research community, by working with economists and scientists across Amazon, as well as collaborating with academic researchers and publishing papers (www.aboutamazon.com/research).What you'll do:· Provide data-driven guidance and recommendations on strategic questions posed by the NSS leadership.· Design and analysis of account coverage experiments and define and analyze success metrics across sales team optimization, marketing and new seller education and recommendation programs.. 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.· Provide technical and scientific guidance to your team members, both junior and senior.· Communicate effectively with senior management as well as with colleagues from science, engineering, and business backgrounds.
US, WA, Seattle
Job summaryAmazon Web Services (AWS) is obsessed with ensuring the success of our customers. To this end, we want to better understand each type of customer we have and at what point in their Cloud journey they'd benefit from the different types of help AWS can provide. For whom is temporary credit more helpful than a discount? What are the returns to salesperson effort for a mature vs. a new AWS customer? What other customer features tell us that it's time to reach out and build a relationship?We're looking for someone with a background in program/policy evaluation. ML skills are a huge plus here, as you'll be working to find new patterns/clusters in large datasets.Basic Qualification· PhD in Economics or a related field· Three years of work experience in the private sector· Strong proficiency in at least one of the following statistical software packages: Python, R, Stata, or MatlabPreferred Qualifications· Strong background in econometrics (e.g., forecasting, time series, panel data, program evaluation, and/or high dimensional problems), probability and statistics, economic theory, and quantitative methods· Strong empirical research track record in applied macroeconomics, econometrics, finance, labor economics, public economics, industrial organization, or a related field· Proven experience with the design and development of machine learning solutionsDemonstrated ability to design solutions to real world business questions.· Strong verbal and written communication skills (e.g., ability to write and present narratives to different levels of leadership).Ability to work in a very fast-paced business environment· Experience with programming languages such as Python, Java, C++, Ruby, and /or Big Data processing platforms such Hadoop, Map Reduce, Spark is a plus.· Ability to work in a fast-paced business environment· Experience with Enterprise Sales data (e.g., SFDC)Job Locations: Seattle, WA, Dallas, TX, Boston, MA, Arlington, VAKey job responsibilitiesFind heterogeneous treatment effects to help the business prioritize interventions, use large and small sample methods for causal inference.About the teamWe're a team of economists, engineers, data scientists and research scientists who are responsible for using data to help maximize the productivity of the thousands of AWS sales reps working to grow the business. We mostly build prototypes and write white papers, but as our products become successful and adopted we move them to production as well.
US, CA, Palo Alto
Job summaryCome help revolutionize the online shopping experience for millions of Amazon customers worldwide! Amazon’s Latency and Performance team focuses on delivering software solutions that keep the Amazon customer experience fast, responsive, and frustration-free for our customers. We aim to delight customers as they find, evaluate and purchase products, tailoring the experience across PCs, phones and tablets globally. We are a broad platform and experiences team, with dozens of partners contributing to deliver the best shopping experience for hundreds of millions of products. Our team uses data to better understand our customers, builds reporting products, models to explain and predict future behavior, all in order to continually improve the latency and performance of the shopping experience.We’re looking for a passionate, talented, and experienced Economist to understand our customers and design the future products and services that will ensure a fast and performant shopping experience.Key job responsibilitiesUsing Amazon’s large-scale computing resources, you will ask research questions about customer behavior, build models to generate recommendations, and work with engineers to implement these models to run the retail website. You will apply economic theory to solve challenging business problems in a fast moving environment using world-class data and data systems. You will have an enormous opportunity to make an impact on the design, architecture, and implementation of cutting edge products used every day by people you know. Economists at Amazon are expected to develop new techniques to obtain insights from large data sets, address quantitative problems, and contribute to the design of automated systems.About the teamOur team is a multi-disciplinary team and you will work with product, economists, applied scientists and software engineers to apply econometrics on a massive scale.
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 job responsibilities· Use economic theories to structure ambiguous problems· Lead and conduct economic studies, including developing and communicating practical implications to senior leadership· Mentor and develop junior economists and data scientists· Develop new repeatable data analysis pipelines to be used by non-economists
US, WA, Seattle
Job summaryAmazon's digital economics team is looking for an Economist Manager to help build and grow a team to put cutting edge economic and data science advertising research into production. We are looking for a unique individual who is interested in bigger picture strategic thinking but with the passion for big data. You will work with us to develop models of consumer and advertiser behavior. You will work at the intersection of engineering, economics, and data science.If you have a background in economics, mathematics, or statistics and have experience building and mentoring science teams, this is the job for you.Examples of the problems you will manage:· Auction and mechanism design· · Estimation and implementation of Bayesian statistical models· · Low-latency implementation of constrained optimization problemsAbout Amazon's advertising business:Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.Sponsored Products helps merchants, retail vendors, and brand owners succeed via native advertising that grows incremental sales of their products sold through Amazon. The Sponsored Products Ad Marketplace team optimizes the systems and ad placements to match demand with supply using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. Our goals are to help buyers discover new products they love, be the most efficient way for Advertisers to meet their business objectives and continue to build a big, sustainable business that helps Amazon continuously innovate on behalf of all customers.
GB, London
Do you want to be part of the next big thing when it is still Day 0?Our Customer Experience Strategy team aims to help achieve Amazon’s mission: to be Earth's Most Customer-Centric Company. We relentlessly focus on raising the bar and driving change across all of Amazon, including Video, Alexa, Seller, and Retail.As part of this mission, we are looking for an experienced Economist or Data Scientist with experience in causal inference and quantitative analysis to dive deep into our customer engagement strategy and use data to understand how to optimally measure the impact of our Customer engagement activities, focused primarily on Social Media in the first phase. We aim to draw business driven insights by identifying gaps and opportunities in the end-to-end customer experience.Are you up for the challenge? #LetsdothisKey responsibilities:With a multi-disciplinary team of experts, you will leverage your applied economics experience to understand how we can best measure the impact of customer engagement through our marketing activities. For example, how do you translate social media into value for the business?We are particularly interested in candidates with a research background in customer behavior, applied microeconomics, data science, causal inference, quantitative analysis and marketing, or some combination of these fields. However, we want to talk with any experienced scientist or economist with an interest in working on innovative, strategic problems with significant business impact across digital marketing.
US, WA, Seattle
Job summaryAre you motivated by ambiguity? Do you want to apply your microeconometric skills to solve real problems, and to help real people? Are you interested in making Amazon Earth’s Best Employer?We are looking for an economist with expertise in applying the methods of causal inference, experimental design, and machine learning to topics in labor, personnel, education, and health economics. As part of a team of experienced economists and data scientists, you will get to work on challenging analytical problems, and to apply econometrics and economic theory at scale.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.Key job responsibilitiesYou will own key inputs to all stages of research projects, including model development, survey administration, experimental design, and data analysis. You will be customer-centric, working closely with business partners to define key research questions, communicate scientific approaches and findings, incorporate partner feedback, and deliver successful solutions.About the teamWe are a collegial team of interdisciplinary researchers in People eXperience and Technology (PXT). We leverage data and rigorous analysis to help Amazon attract, retain, and develop one of the world’s largest and most talented workforces.
US, WA, Seattle
Job summaryThe F3 (Fresh, Food, Fast) organization leads the innovation of Amazon’s ultra-fast grocery product initiatives including fresh groceries, household essentials, and its most popular products from Amazon.com. In this space Amazon aims to delight customers by delivering orders faster than ever before. With programs like Amazon Fresh and Prime Now, Prime members can now skip a trip to the store by shopping on the Amazon app and website for products like grocery staples, paper towels, shampoo, books, toys, batteries and more with orders delivered right to their door as quick as an hour.The Grocery Management Science team in F3 is looking for an economist to help create and drive the long-term vision for how we manage selection of products for Fresh. As an economist, you will work with product managers, SDEs, vendor managers, and business intelligence engineers to help the Fresh organization determine optimal selection in stores and online through modelling of key customer behavior such as substitutability/complementarity of products, expected demand, etc. You will be expected to own the development of econometric models and to manage the modelling and validation work for your analysis products, working with SDEs to integrate the models into production systems.A successful candidate will be able to partner effectively with both business and technical teams, including clear communication of results and the ability to influence a variety of stakeholders. He/she will be an expert in drawing customer insights through structural modelling techniques and have experience manipulating large data sets. The role with also include running experiments to validate developed econometric approaches. This high-impact role provides a great opportunity to demonstrate the ability to dive deep, deliver results, think big, invent and simplify, and earn trust. It will also allow for combining machine learning techniques with econometrics to improve our ability to serve customers.
US, WA, Seattle
Job summaryAWS Central Economics is an interdisciplinary team on the cutting edge of economics, statistical analysis, and machine learning whose mission is to solve problems that have high risk with abnormally high returns. Our team leverages the strengths of our scientists to build solutions for some of the toughest business problems here at Amazon AWS.We are looking for an exceptionally talented, seasoned, and motivated Principal Economist to drive the science and inform the automation of forecasting for AWS. Currently, the output of these analyses supports critical CEO, SVP, and VP-level decision making at AWS, .You will be a leader in the development of a unified and scalable science and data-drive approach to forecasting the AWS business and in deriving key insights into business drivers, risks and opportunities. You will understand the needs of the business for decisionmaking and planning along with the economic environment in which AWS operates and the impacts on the business You will apply creativity, economic thinking, and state-of-the art methods in econometrics and ML, both for prediction and causal inference to produce reliable, transparent, actionable, and scalable solutions. You will join a diverse team of economists and other scientists, benefit from the Amazon's Scholar Residency Program (which consists of world-class academic scientists and researchers), closely supervise/advise junior scientists, and leverage our data support resources. You will learn about all aspects of the cloud computing business, and you and your work will get consistent exposure to senior leadership.
US, WA, Seattle
Job summaryCore 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 systemsResponsibilities:* Work within Core AI teams to consult with internal partner terms on collaboration opportunities and to assess potential for impact.* Own the development of economic models and manage the data analysis, modeling, and experimentation necessary to validate your model.* Effectively communicate econometric models to business teams and incorporate feedback into project analysis/modeling.
US, WA, Seattle
The Sustainability Science & Innovation (SSI) team is both the scientific authority for sustainability at Amazon and its sustainability research and development (R&D) team. SSI provides the direction to lead our company to sustainable practices. Our models and metrics inform Amazon’s most senior leaders on Think Big opportunities and critical sustainability issues facing Amazon so that they may place big bets in a variety of sustainability topics (energy, materials, water, waste, products, social responsibility, etc.) to take care of the planet, benefit customers, and enable continued business growth. Our primary customer is senior leadership setting the vision for the company, but we also work closely with decision-makers in the sustainability team and business teams around the company to understand and implement that vision.We are looking for an experienced hands-on technical leader to join our organization and grow a team of Economists. This team will build and maintain data infrastructure, simplify data access and unlock self-service insights. Through data analysis and statistical modeling, this team will create feedback loops to continuously improve the sustainability decisions Amazon makes on behalf of its customers. The ideal candidate will have strong data engineering fundamentals and able to hire and grow individuals focused on building datasets and surfacing metrics to help SSI advance its mandate of automated modeling. They will partner with key stakeholders, including Software Development Managers, Product Managers, and Scientists within SSI and its parent World Wide Sustainability (WWS) organization, to define analytics strategy and ensure it’s aligned with the data architecture and business strategy. The ideal candidate will challenge assumptions and turn conjectures and anecdotes into data-supported facts to inform SSI’s product vision and establish data-first culture.Key Responsibilities include:· Manage sustainability-related data projects through all stages: ideation, modeling, data collection, data analysis, data visualization, and reporting.· Develop tools and methods to harvest and continuously update data to provide sustainability insights at scale.· Respond to time-critical questions from multiple business teams.· Professionally communicate to senior business leaders.· Lead the early investigative / inception phase of strategic sustainability initiatives and effectively influence, negotiate, and communicate with stakeholders to enable hand off of those projects for implementation.
US, WA, Bellevue
The Amazon Supply Chain Optimization Technology (SCOT) organization is looking for an experienced and motivated PhD Economist to work on exciting and challenging problems related to Amazon's worldwide inventory planning. SCOT provides unique opportunities to both create and see the direct impact of your work on billions of dollars’ worth of inventory, in one of the world’s most advanced supply chains, and at massive scale.As an Economist in our team, your work will help Amazon provides the best customer experience on inventory availability, selection and delivery speed worldwide. You will build large-scale econometric models using our world-class data systems and state-of-the-art cloud computing technologies. You will collaborate with some of the brightest economists, scientists and software engineers to address high-impact business problems and contribute to the design of automated systems with global reach.The ideal candidate will be able to: (1) use economic theories to structure ambiguous problems; (2) assess and interpret empirical relationships using large data sets; and (3) design long-term causal estimation models with scalability.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
US, WA, Seattle
Job summaryFBA Inventory team is looking for a passionate, talented, and motivated Senior Economist who is a Reduced Form Causal Analysis expert to join our top-notch cross-domain science team to proactively identify new opportunities to improve the profitability of our third-party Sellers. The position offers an opportunity to apply the frontier of econometrics and economic theory to market design, pricing, forecasting, program evaluation, online advertising and other areas. You will build causal estimation models, using our world class data systems, and apply econometric theory to solve business problems in a fast-moving environment. Your will lead the science effort to learn more about Seller behaviors, estimate the effects of policies and incentives on Seller responses, design experiments to measure program impact, develop new econometric techniques, and implement science products and services to help Sellers to improve their inventory efficiency and long-term value from both Amazon’s and sellers’ perspectives by using innovative and scalable science solutions based on interdisciplinary research of operations research, machine learning, market design, econometrics, causal analysis, and data analytics. This role has high visibility to senior Amazon business leaders and involves working with other scientists, and partnering with engineering and product teams to integrate these models into production systems.Key job responsibilitiesAs a member of the science team, you will play an integral part in Amazon's FBA inventory management with the following technical and leadership responsibilities:· Apply expertise in causal modeling to develop econometric/machine learning models and design experiments to measure the value of the business and its many features· Reviews and audits modeling processes and results for other scientists, both junior and senior.· Identify new opportunities for leveraging economic insights and models in the FBA business and translate those directions into specific plans for economists and scientists, as well as engineering and product teams.· Describes strategic importance of vision inside and outside of team. Identifies business opportunities, define the problem and roadmap to solve it.· Build scalable and state-of-the art econometric solutions using state of the art tools based on large data sets· Partner closely with senior-level Economists and Scientists at AmazonA day in the lifeIn this role, you will be a technical leader in econometric modeling with significant scope, impact, and high visibility. Your solutions may lead to billions of dollars impact on either the topline or the bottom line of Amazon business. As the senior economist in the science team, you will be involved in every aspect of the process - from idea generation, business analysis and scientific research, through to development and deployment of advanced models - giving you a real sense of ownership. From day one, you will be working with experienced scientists, engineers, and designers who love what they do. You are expected to provide structure around complex business problems, hone those complex problems into specific, scientific questions, and test those questions to generate insights. You will also collaborate with the broader decision and research science community in SCOT and Amazon to broaden the horizon of your work and mentor economists and scientists. The successful candidate will have strong quantitative modeling skills and the ability to apply econometric, statistical/machine learning, and experimental design methods to large amount of individual level data. We are seeking someone who wants to lead projects that require innovative thinking and deep technical problem-solving skills to create scalable causal inference solutions. The candidate will need to be entrepreneurial, wear many hats, and work in a fast-paced, high-energy, highly collaborative environment. We value highly technical people who know their subject matter deeply and are willing to learn new areas. We look for individuals who know how to deliver results and show a desire to develop themselves, their colleagues, and their career.About the teamSellers are a critical part of Amazon’s ecosystem to deliver on our vision of offering the Earth’s largest selection and lowest prices. Fulfillment By Amazon (FBA) enables Sellers to provide fast and efficient deliver to their customers using Amazon fulfillment services. In 2020, Sellers enjoyed strong growth using FBA shipping more than half of all products offered on Amazon. To our consumers, FBA provides a broad and diverse inventory of products from Books, Electronics and Apparel to Consumables and beyond with many of them available with 1-Day shipping. The FBA Inventory team within the Amazon Supply Chain Optimization Technology (SCOT) organization is in charge of defining and delivering fulfillment services to our Sellers by leveraging Amazon’s expertise in machine learning, inventory optimization, big data, and distributed systems to deliver the best inventory management experiences for our FBA Sellers. We work full stack, from foundational backend systems to future-forward user interfaces. Our culture is centered on rapid prototyping, rigorous experimentation, and data-driven decision-making.“Third-party sellers are kicking our first party butt. Badly. And it’s a high bar too because our first-party business has grown dramatically over that period, from $1.6 billion in 1999 to $117 billion this past year. The compound annual growth rate for our first-party business in that time period is 25%. But in that same time, third-party sales have grown from $0.1 billion to $160 billion – a compound annual growth rate of 52%. To provide an external benchmark, eBay’s gross merchandise sales in that period have grown at a compound rate of 20%, from $2.8 billion to $95 billion. Why did independent sellers do so much better selling on Amazon than they did on eBay? And why were independent sellers able to grow so much faster than Amazon’s own highly organized first-party sales organization? There isn’t one answer, but we do know one extremely important part of the answer: We helped independent sellers compete against our first-party business by investing in and offering them the very best selling tools we could imagine and build. There are many such tools, including tools that help sellers manage inventory, process payments, track shipments, create reports, and sell across borders – and we’re inventing more every year. But of great importance are Fulfillment by Amazon and the Prime membership program. In combination, these two programs meaningfully improved the customer experience of buying from independent sellers.”—Jeff Bezos, 2018 Letter to Shareholders
US, CA, San Diego
Job summaryEconomist IThe Economic Technology (EconTech) team combines Economics, Statistics, and Machine Learning with automation and large scale data technologies to develop scalable science solutions that support the operation and optimization of key functions of Amazon Private Brands and other Amazon teams, such as pricing, discovery, negotiation, forecasting, supply chain and product selection/development. We are an interdisciplinary team, committed to use of cutting edge technology and leveraging the strengths of engineers and scientists to build solutions for some of the toughest business problems at Amazon.We are looking for an outstanding Economist who is strong in applying cutting edge econometrics and machine learning methodologies to conduct empirical research and implement science solutions that solve real-world business problems. The candidate will not only implement and validate models on large scale data, and but also help business and tech partners understand the results and turn them into policies, programs, and actions that have a major impact on Amazon’s business. We are looking for creative thinkers who can combine a strong economic toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas.
US, VA, Arlington
Job summaryAmazon.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.The team focuses on the application of microeconometric methods designed to enable Amazon to attract, retain, and develop the world’s most effective workforce. All of this work is performed in close coordination with senior business leaders. These are exciting fast-paced businesses in which we get to 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 relevantAbout the teamGlobal Talent Management (GTM) owns a suite of products which help drive career development for hundreds of thousands of Amazonians globally. GTM Science utilizes a wide array of data sources to conduct analytics and create predictive models that fuel recommendations, actions, and insights within the software systems that support Amazonians throughout their employee journeys. The team itself is composed of scientists and engineers with diverse backgrounds and expertise, coming together to create innovative solutions to the problems faced by the one of the world’s largest and fastest growing workforces.
US, WA, Seattle
Job summaryWe're looking for an experienced Economist to help drive a NEW high impact high visibility initiative on the Amazon website. This is an opportunity to work with a team that drives one of the most coveted real estate in the E-commerce, the Amazon ‘Buy Box’ on Amazon Product Detail Page, Amazon Search Page, multiple buying widgets etc. on the Amazon desktop, mobile and tablet environments.The Offers Experience team's vision is to simplify Amazon shopping experience by helping customers more easily discover and evaluate product offers to find the right option for their shopping journey. We use ML and contextual information to rank and feature the most relevant offers to customers. Our services serve hundreds of millions of Amazon customers and handle millions of requests per second for hundreds of millions of products and billions of offers.You will be responsible for improving the existing models and creating new ones to improve the accuracy of the featured offers. The goal is to recommend product offers that customer love and trust. You will develop a deep understanding of business problems and apply econometrics to disambiguate and solve complex problems. You will work with business partners, engineers, TPMs, and other scientists across organizations to expand the model to incorporate new features. You will work independently and collaboratively, lead and influence discussions to drive consensus on the design and development of new models. To be successful you'll need to be forward looking, constantly find ways to deliver a better experience for the customer. You will be force multiplier decomposing complex problems into smaller ones that can be worked on by junior economists. You will train junior economists and deliver results through them. You will keep abreast of current research, techniques, methods, tools, and industry trends in economics.If you are ready to truly make an impact on a product that is used by hundreds of millions of people around the world, including your own friends and family, then we would love to talk to you.Worklife BalanceOur team works together to provide work/life balance for all team members. We recognize that the circumstances of our team members vary, and we balance work across the team so that we’re all able to maintain high standards on behalf of our customers, while at the same time allowing for rich and happy personal lives.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
US, CA, Long Beach
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.This role will work in Global Shipping, Our vision is to become the carrier of choice for all of our Selling Partners cross-border shipping needs, offering complete set of end to end cross border solutions from key manufacturing hubs to footprint countries supporting business who use Amazon to grow their business globally.The Global Mile Business Development and strategy team are responsible for growing our global shipping product over the coming years. We have Sales and Marketing, analytical, strategy and forecasting functions and work with a large product and tech team, globally.As we expand, the need for robust demand forecasting to aid decision making on asset utilization especially where we know demand will be variable becomes vital. We are investing in enhanced data and improved modelling techniques, and are now in need of an experienced economist to lead and manage our forecasting and scenario planning function.
US, WA, Seattle
We are a team of doers working passionately to apply cutting-edge advances in technology to solve real-world problems. As a Research Scientist at the intersection of optimization and the life sciences, you will participate in developing exciting services for customers. Our team rewards curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup-like environment. At the cutting edge of both academic and applied research in this product area, you have the opportunity to work together with a diverse and talented team of scientists, engineers, and product managers and collaborate with others teams.The Role:We are looking for an outstanding economist that is able to apply optimization theory into practice through experimentation and invention, develop new algorithms usingmathematical programming techniques (such as column generation and Benders decompsition) for complex problems, implement prototypes and work with massive datasets. Amazon has a culture of data-driven decision-making, and the expectation is that analytics are timely, accurate, innovative and actionable.Responsibilities:· Use optimization techniques to support the business.· Apply decomposition methods as needed to solve large scale models.· Establish processes for large-scale data analyses, model development, model validation and model implementation.· Act as a point of contact and operations research leader for the business.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.