Economics

The People eXperience and Technology Central Science Team (PXTCS) 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 an economist who is able to work with business partners to hone 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 a creative thinker who can combine a strong technical economic toolbox with a desire to learn from other disciplines, and who knows 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 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.Key job responsibilitiesUse causal inference methods to evaluate the impact of policies on employee outcomes. Examine how external labor market and economic conditions impact Amazon's ability to hire and retain talent. Use scientifically rigorous methods to test solutions for improving employee recognition. A day in the lifeWork with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions, writing code to implement a DID analysis or estimate a structural model, or writing and presenting a document with findings to business leaders. Our economists also collaborate with partner teams throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions. About the teamWe are a multidisciplinary team that combines the talents of science and engineering to develop innovative solutions to make Amazon Earth's Best Employer. BASIC QUALIFICATIONS- PhD in economics or equivalent ...

Amazon is one of the most popular sites in the US. Our product search engine, one of the most heavily used services in the world, indexes billions of products and serves hundreds of millions of customers world-wide.Within Amazon Search, the Data Science team brings expertise in constrained optimization, modeling data, and experimental methods. We partner with internal and external teams to bring create pioneering new insights, develop new measurement and testing methodologies, and hone optimization strategies. We ensure Search's systems, models, and teams properly optimizing over trade-offs in the function of the search experience. In addition to working with partners, we incubate new modeling techniques, and perform 'front line recon' on potential new models and tools. We are looking for a Senior Economist to independently leverage petabyte scale data, seek out opportunities, and deliver models, metrics, or insights that creates wins for customers.Key job responsibilitiesMeasure / Quantify / Expand- Design, size, and analyze field experiments at scale.- Apply econometric or statistical knowledge to improve Amazon Search (using machine learning techniques is a plus)- Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.- Analyze historical data to identify trends and support decision making.Explore / Enlighten- Formalize assumptions about how Amazon Search is expected to work.- Given anomalies, whether anecdotal or identified automatically, deep dive to explain why they happen, and identify fixes.Decide / Recommend- Build decision-making models and propose solution for the business problem you defined- Analyze A/B tests and extract understanding of customer behavioral responses- Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.- Utilize code (python or another object oriented language) for data analyzing and modeling algorithmAbout the teamThe mission of the Search Data Science team is to build a world class shopping experience that delights customers. We focus on the long term and big picture, ensuring that the search page is balancing strategic trade-offs. We bring to this effort expertise in constrained optimization, causal inference, and marketplace equilibrium effects. We build systems, metrics, and mechanisms to ensure that product decisions are scientifically sound. We develop models to estimate the downstream dollar value of the quality of the experience. We spend time on evaluating experiments to develop durable learnings.BASIC QUALIFICATIONS- PhD in economics or equivalent- Experience in building statistical models using R, Python, STATA, or a related software ...

Amazon is committed to exceeding customer expectations. In the Returns and Recommerce organization, we seek to improve customer satisfaction with the items they buy on Amazon, provide new value for our customers, and reduce costs to drive the holistic business flywheel. We are looking for a dynamic, resourceful, and organized Economist to join the Returns and Recommerce organization to develop new, data-driven solutions to support the most critical components of this rapidly scaling team.The Amazon R&R team has an opening for applied micro, empirical IO, and time series and forecasting with demonstrated industry, policy, or academic experience. You will apply economic theory to build econometric models, and prototype and put into production scalable implementations in partnership with technical teams, using Amazon’s world class data systems. You will be expected to be a thought leader as we chart new courses with our customer delivery support technologies. Successful candidates will have a deep knowledge of quantitative modelling in at least one area (ML, forecasting/time series, optimization, causal modeling), the ability to build and refine models that can be implemented in production, the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers, and the excitement to take iterative approaches to tackle big, long-term problems.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. The economics community at Amazon has grown tremendously in the past few years – economists in Amazon R&R partner with economists company-wide to tackle some of the hardest problems at Amazon.As part of the R&R organization, you’ll partner closely with Science, Product, Tech, and Program teams to design innovative solutions to organizational and business problems, communicating highly complex findings to multiple audiences. The ability to understand and measure policy effects and then integrate them into downstream optimization systems is a highly valuable asset. You may come from any one of a variety of econometric backgrounds, but you must be comfortable with multiple modeling techniques, be able to acquire new techniques with practice, and be willing to show flexibility in finding the right technique to match the research problem. Our economists will be comfortable with both ambiguity and autonomy, and excel at investigative analyses. Key job responsibilitiesKey Responsibilities:- Conceptualize and lead global research initiatives in the Returns and Recommerce space- 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 solutionsBASIC QUALIFICATIONS- PhD in economics or equivalent ...

The Global Cross-Channel and Cross- Category Marketing (XCM) org are seeking an experienced Economist to join our team. XCM’s mission is to be the most measurably effective and creatively breakthrough marketing organization in the world in order to strengthen the brand, grow the business, and reduce cost for Amazon overall. We achieve this through scaled campaigning in support of brands, categories, and audiences which aim to create the maximum incremental impact for Amazon as a whole by driving the Amazon flywheel. This is a high impact role with the opportunities to lead the development of state-of-the-art, scalable models to measure the efficacy and effectiveness of a new marketing channel. In this critical role, you will leverage your deep expertise in causal inference to design and implement robust measurement frameworks that provide actionable insights to drive strategic business decisions.Key Responsibilities:- Develop advanced econometric and statistical models to rigorously evaluate the causal incremental impact of marketing campaigns on customer perception and customer behaviors.- Collaborate cross-functionally with marketing, product, data science and engineering teams to define the measurement strategy and ensure alignment on objectives.- Leverage large, complex datasets to uncover hidden patterns and trends, extracting meaningful insights that inform marketing optimization and investment decisions.- Work with engineers, applied scientists and product managers to automate the model in production environment.- Stay up-to-date with the latest research and methodological advancements in causal inference, causal ML and experiment design to continuously enhance the team's capabilities.- Effectively communicate analysis findings, recommendations, and their business implications to key stakeholders, including senior leadership.- Mentor and guide junior economists, fostering a culture of analytical excellence and innovation.Qualifications:-Experience applying causal inference techniques, such as double machine learning, synthetic control, difference-in-differences, instrumental variables, and randomized experiments.- Proven track record of developing and implementing sophisticated, scalable models to measure marketing effectiveness and attribution.- Expertise in programming languages (e.g., R, Python) and proficiency in working with large, complex datasets.- Strong problem-solving skills, ability to think critically, and a keen eye for detail.- Excellent communication and presentation skills, with the ability to translate technical analyses into actionable business insights.- Experience in a fast-paced, data-driven environment, with the flexibility to adapt to changing business needs.A day in the lifeBASIC QUALIFICATIONS- PhD in economics or equivalent- Experience in causal inference modelling. ...

We are hiring an Economist with the ability to disambiguate very challenging structural problems in two and multi-sided markets. The right hire will be able to get dirty with the data to come up with stylized facts, build reduced form model that motivate structural assumptions, and build to more complex structural models. The main use case will be understanding the incremental effects of subsidies to a two sided market relate to sales motions characterized by principal agent problems. Key job responsibilitiesThis role with interface directly with product owners, scientists/economists, and leadership to create multi-year research agendas that drive step change growth for the business. The role will also be an important collaborator with other science teams at AWS.A day in the lifeOur team takes big swings and works on hard cross organizational problems where the optimal success rate is not 100%. We also ask people to grow their skills and stretch and make sure we do it in a supportive and fun environment. It’s about empirically measured impact, advancement, and fun on our team. We work hard during work hours but we also don’t encourage working at nights or on weekends except in very rare, high stakes cases. Burn out isn’t a successful long run strategy. Because we invest in the long run success of our group it’s important to have hobbies, relax and then come to work refreshed and excited. It makes for bigger impact, faster skill accrual and thus career advancement. About the teamOur group is technically rigorous and encourages ongoing academic conference participation and publication. Our leaders are here for you and to enable you to be successful. We believe in being servant leaders focused on influence: good data work has little value if it doesn’t translate into actionable insights that are rolled out and impact the real economy. We are communication centric since being able to explain what we do ensures high success rates and lowers administrative churn. Also: we laugh a lot. If it’s not fun, what’s the point?BASIC QUALIFICATIONS- PhD in economics or equivalent ...

Where will Amazon's growth come from in the next year? What about over the next five? Which product lines are poised to quintuple in size? Are we investing enough in our infrastructure, or too much? How do our customers react to changes in prices, product selection, or delivery times? These are among the most important questions at Amazon today. The Topline Forecasting team in the Supply Chain Optimization Technologies (SCOT) group is looking for innovative, passionate and results-oriented Principal Economist to provide thought-leadership to help answer these questions. You will have an opportunity to own the long-run outlook for Amazon’s global consumer business and shape strategic decisions at the highest level. The successful candidate will be able to formalize problem definitions from ambiguous requirements, build econometric models using Amazon’s world-class data systems, and develop cutting-edge solutions for non-standard problems.Key job responsibilities• You understand the state-of-the-art in time series and econometric modeling.• You apply econometric tools and theory to solve business problems in a fast moving environment. • You excel at extracting insights and correct interpretations from data using advanced modeling techniques.• You communicate insights in a digestible manner to senior leaders in Finance and Operations within the company.• You are able to anticipate future business challenges and key questions, and have the ability to design modeling solutions to tackle them. • You have broad influence over the Topline team’s scientific research agenda and deliverables. • You contribute to the broader Econ research community in Amazon. • You advise other economists on scientific best-practices and raise the bar of research.• You will actively mentor other scientists and contribute to their career development. BASIC QUALIFICATIONS - PhD in Economics or closely related field.- Track record of publications that have advanced the state-of-the-art. - 6-8 or more years of experience in industry, consulting, government or academic research. - Expertise in applied time series. - Fluency in at least one statistical software package such as R, Stata, Matlab, SAS. ...

The Amazon Search team creates powerful, customer-focused search and advertising solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, our services go to work. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day. This position will develop economic frameworks for selecting products into customer consideration sets, develop a theoretic framework of the search process and customer frictions that lends to policy evaluation, and create frameworks for coordinating product discovery with other marketplace decision systems like ordering, pricing, and delivery optimization.The ideal candidate will have outstanding Economics knowledge, demonstrated strength in practical and policy relevant structural econometrics, strong collaboration skills, proven ability to lead highly ambiguous and large projects, and a drive to deliver results. They will work closely with Economists, Data / Applied Scientists, Engineers, and Product leads to integrate economic insights into policy and production systems Familiarity with informational retrieval and recommender systems is a plus but not required.Key job responsibilitiesThis role is responsible for creating mechanisms (metrics, models, mechanism) that optimize search while accounting for effects on the entirety of the Amazon Stores. Some example projects include:* Develop an economic frameworks for selecting products into customer consideration sets. Utilizing demand estimation, internalizing spillovers (e.g. menu effects), and incorporating long term effects on customer beliefs. We want to embed economics into state of the art list-wise ranking models.* Develop a means of valuing newly launched products and how the impact all aspects of the experience (prices, brand awareness, or even referential utility).* Develop a theoretic framework of the search process with a valuation of customer frictions that lends to evaluation of changes in the experience (aka a “search/browse model”)* Create frameworks for coordinating product discovery with other marketplace decision systems like ordering, pricing, and delivery optimization.BASIC QUALIFICATIONS* PhD in Economics, Computer Science, or highly related field (Statistics, Finance, Math)* 10+ years of experience in industry, consulting, government, or academic research* Demonstrated expertise in structural econometrics * Experience with big data and machine learning or data science* Coding ability in a scripting language such as R or python or STATA ...

Device Economics is looking for an economist experienced in causal inference, empirical industrial organization, forecasting, and scaled systems to work on business problems to advance critical resource allocation and pricing decisions in the Amazon Devices org. Output will be included in scaled systems to automate existing processes and to maximize business and customer objectives.Amazon Devices designs and builds Amazon first-party consumer electronics products to delight and engage customers. Amazon Devices represents a highly complex space with 100+ products across several product categories (e-readers [Kindle], tablets [Fire Tablets], smart speakers and audio assistants [Echo], wifi routers [eero], and video doorbells and cameras [Ring and Blink]), for sale both online and in offline retailers in several regions. The space becomes more complex with dynamic product offering with new product launches and new marketplace launches. The Device Economics team leads in analyzing these complex marketplace dynamics to enable science-driven decision making in the Devices org. Device Economics achieves this by combining economic expertise with macroeconomic trends, and including both in scientific applications for use by internal analysts, to provide deep understanding of customer preferences. Our team’s outputs inform product development decisions, investments in future product categories, product pricing and promotion, and bundling across complementary product lines. We have achieved substantial impact on the Devices business, and will achieve more.Device Economics seeks an economist adept in measuring customer preferences and behaviors with proven capacity to innovate, scale measurement, and drive rigor.The candidate must be passionate about advancing science for business and customer impact.BASIC QUALIFICATIONSPhD in economics or equivalentDeep knowledge of observational causal interference methodsStrong background in statistics methodology, applications to business problems, and/or big data. ...

The Amazon Economics Team is hiring Economist Interns. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets to solve real-world business problems. Some knowledge of econometrics, as well as basic familiarity with Stata, R, or Python is necessary. Experience with SQL, UNIX, Sawtooth, and Spark 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 future job market placement. Roughly 85% of interns from previous cohorts have converted to full-time economics employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com. BASIC QUALIFICATIONSTo be considered for an economist internship in 2025, applicants should be enrolled in at least the third year of their PhD program and not currently on the job market. ...

We are working back from a mission of explaining and predicting one of the most important inputs to the Amazon business - customer visit data. We are working to model and test our assumptions about what are the customer incentives and what influences customers to chose visiting Amazon. Ultimately we want to understand and predict how many of our customers will interact with Amazon and we want to identify insights that optimize the customer experience.This is a green-field role in an analytics team of economists, science, business intelligence and data engineering bridging between observational measurement and theoretical models. About the teamYou will be empowered by a large team of experienced software and data engineers that are aligned on the same mission - to measure and explain our customer experience. We lean into the exceptionally talented Economist and Science community in CBA and Stores for consultation, guidance and peer reviews. Our large analytics team is empowered to move fast and gather the data we need to achieve our mission. Our parent organization owns end-to-end data collection systems (Clickstream), experimentation (Weblab) and customer value forecasting (GCCP). We are working across organizational boundaries to identify relevant datasets and are able to curate the vast amount of data we have into meaningful business reporting and analysis.BASIC QUALIFICATIONS- PhD in economics or equivalent ...

Amazon Devices is revolutionizing smart home devices and services, and we're seeking a visionary Senior Economist to lead the charge. In this high-impact role, you'll flex your advanced Empirical IO and Structural Demand modeling expertise to tackle complex pricing challenges for a diverse portfolio of world-class products and services.Imagine being the driving force behind the pricing and demand strategies that power game-changing innovations for brands like Alexa, Ring, Blink, and Kids+. Your insights will directly influence critical business decisions, like optimizing, bundled offerings, and feature roadmaps for subscriptions. Get ready to dive deep, uncover valuable insights, and transform them into real-world impact. Whether you're supporting products pre-launch or fine-tuning mature business lines, your work will have a multi-million-dollar influence. As a Senior Economist on the Subscription Science team, you'll collaborate cross-functionally to shape product roadmaps. Sound like the kind of challenge you thrive on? Bring your passion for problem-solving, your knack for translating data into action, and your entrepreneurial spirit – and join us on the frontlines of the connected home revolution. This is your opportunity to make a lasting mark and create experiences that delight customers worldwide.Key job responsibilities- Develop advanced structural demand and econometric frameworks for products and services in Amazon Devices.- Create and drive the scientific roadmap for the team, and influence partner science teams- Drive cross-functional collaboration with scientists, engineers, and business leaders to integrate economic insights into strategic decision-making processes and shape future initiatives. - Communicate insights in writing and verbally, to senior leaders on Product and Finance teams within the company.- Actively mentor junior scientists on advanced econometric techniques.About the teamThis role is in the Subscription Science team, a cross-functional team in Amazon Devices that focuses on developing science models to inform major one-way door decisions that lead to customer facing changes for our products and services, and using these insights to help product teams focus efforts on improving products for their customers.We do this by building world-class demand models which provide pricing recommendations, for these organizations and help inform critical business investment decisions, frequently presenting results to the highest levels of leadership in the organization.In addition to the primary job location we are open to considering locations near major Amazon hubs including but not limited to Arlington VA (HQ2 near DC).BASIC QUALIFICATIONS- PhD in economics or equivalent- Experience in econometrics (e.g., program evaluation, forecasting, time series, panel data, or high dimensional problems), economic theory, and quantitative methods- Experience in building statistical models using R, Python, STATA, or a related software- Experience in industry, consulting, government or academic research ...

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. Are you seeking an environment where you can drive innovation? Do you want to apply learning techniques and advanced mathematical modeling to solve real world problems? Do you want to play a key role in the future of Amazon's Retail business? This job for you! The Customer Behavior Analytics (CBA) team at Amazon is responsible for the architecture, design, implementation of tools used to understand customer behavior and value generation for all Amazon programs. Our vision is to ensure that every decision at Amazon is customer-obsessed and maximizes long-term free cash flow (LTFCF). To achieve this we build the best, unbiased and most trusted measures of incremental customer long-term value and make them universally adopted as the company standard for customer-obsessed decisions. Come and join us!Amazon’s CBA team is looking for Economists, who can work at the intersection of economics, statistics and machine learning; and leverage the power of big data to solve complex problems like long-term causal effect estimation.Key job responsibilitiesEconomists at Amazon are expected to work directly with other Economists and senior management on key business problems 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, build trust in the techniques with rigorous science and validation, address quantitative problems, and contribute to design of automated systems around the company.BASIC QUALIFICATIONS- PhD in economics or equivalent ...

The Amazon Economics Team is hiring Economist Interns. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets to solve real-world business problems. Some knowledge of econometrics, as well as basic familiarity with Stata, R, or Python is necessary. Experience with SQL, UNIX, Sawtooth, and Spark 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 future job market placement. Roughly 85% of interns from previous cohorts have converted to full-time economics employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com. BASIC QUALIFICATIONSTo be considered for an economist internship in 2025, applicants should be enrolled in at least the third year of their PhD program and not currently on the job market. ...

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.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.About the teamThe SCOT Lab (Supply Chain Optimization Technology Lab) team is responsible for designing and implementing systems to measure the impact of SCOT initiatives. We're currently seeking an economist to drive innovation within SCOT, which involves developing novel scientific approaches and advancing our system further upstream in the innovation process.BASIC QUALIFICATIONS- PhD in economics or equivalent- Familiar with various experimental designs and their applications ...

We are hiring a Director, Economics who is excited about leading a team that develops and implements a research agenda that drives value for AWS customers and the business. The problem space includes identifying new cross org and cross function workstreams with measurable impact. The right person in this role will command a broad suite of economic and science areas, develop new ones as appropriate, and apply them to highly ambiguous business problems. This person will earn the trust of AWS executives to handle the hardest science problems in a collaboration with their teams and other scientists. The person with recruit top talent and foster an enviably fun and supportive workplace environment where ICs and managers grow and reach their career goals. Key job responsibilitiesThis role with interface directly with executives, product owners and science ICs and leadership to create multi-year research agendas that drive step change growth for the business. This role is important for development of the strategic direction of the AWS Central Economics and Science team. This role will report directly to the Chief Economist of AWS and help develop and implement science best practices for the team in collaborative partnership with other scientists, economists and engineers in the org. A day in the lifeOur team takes big swings and works on hard cross organizational problems where the optimal success rate is not 100%. We also ask people to grow their skills and stretch and make sure we do it in a supportive and fun environment. It’s about empirically measured impact, advancement, and fun on our team. We work hard during work hours but we also don’t encourage working at nights or on weekends except in very rare, high stakes cases. Burn out isn’t a successful long run strategy. Because we invest in the long run success of our group it’s important to have hobbies, relax and then come to work refreshed and excited. It makes for bigger impact, faster skill accrual and thus career advancement. About the teamOur group is technically rigorous and encourages ongoing academic conference participation and publication. Our leaders are here for you and to enable you to be successful. We believe in being servant leaders focused on influence: good data work has little value if it doesn’t translate into actionable insights that are rolled out and impact the real economy. We are communication centric since being able to explain what we do ensures high success rates and lowers administrative churn. Also, we laugh a lot. If it’s not fun, what’s the point?BASIC QUALIFICATIONS- PhD Economics or similar field.- 8+ years work experience. ...

Amazon's Devices Economic Value team enables measurement and optimization of Amazon Devices long-term value to help Amazon build better products for their customers. Delivering lasting value to customers is in Amazon's DNA and we are at the core of how the Devices business prioritizes its investments in innovation and optimization on behalf of customers. Join us to be a part of the team that is at the core of understanding how Amazon Devices drive deeper customer engagement and helps the business make decisions about how to optimize and balance between short term monetization and long term value creation for Amazon Device users. We are seeking a skilled Principal Economist to build the future of long term value measurement and optimization for Amazon Devices.Key job responsibilitiesWe are looking for a talented Principal Economist to drive the science evolution within the Devices Economic Value space (DEV). The Principal Economist will be responsible for evolving the DEV paradigm towards driving direct business value via actionable business levers and influencing the Devices org business strategy through a better understanding of the DEV drivers. They will be responsible for science solutions to better align DEV product and engineering systems towards direct value generation through production systems. We expect the Principal Economist to drive Economic Value innovation, leveraging current advances in causal inference and machine learning. About the teamDEV Science team’s mission is to drive measurement and optimization of long term economic value of the devices business that balances short term and long term tradeoffs across product lifecycle, and drive clear value for Amazon shoppers. We leverage science advancements across causal inference, structural modeling and machine learning, to solve challenging business problems in Amazon Devices. The team spans scientists across a wide range of seniority, tenure and specialization, including economists, data and applied scientists, with dedicated product and engineering partners. BASIC QUALIFICATIONS- Ph.D. in economics or related finance or policy field- 8+ years of post PhD work experience in industry, consulting, government or academic research or equivalent- Strong background in causal inference- Experience with advancements on the intersection of econometrics and machine learning- Advanced coding ability in a scripting language such as Python, or R ...

Economists in Delivery Experience (DEX) solve key business problems in operations and help drive innovation in Amazon's retail supply chain. You'll apply frontier economic methods to product design, pricing, personalization, program evaluation, and more. You'll 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 develop novel approaches to solve quantitative problems and contribute to the design of automated systems across the company.We're looking for a Senior Economist with a background in causal analysis to lead studies related to innovative delivery programs. Potential projects include understanding how customers value programs that enable coordinated package delivery, scheduled delivery, and sustainability in delivery services.To be successful in this role, you'll need to communicate effectively with product and tech teams, work closely with partners across DEX and Amazon, and translate data-driven findings into actionable insights. You'll thrive if you enjoy tackling ambiguous challenges using the economics toolkit and identifying and solving problems at scale. We have a supportive, fast-paced team culture, and we prioritize learning, growth, and helping each other continuously raise the bar.Key job responsibilitiesLead data-driven econometric studies to create future business opportunitiesConsult with stakeholders in Delivery Experience and other teams to help solve existing business challengesIndependently identify and pursue new opportunities to leverage economic insightsAdvise senior leaders and collaborate with other scientists to drive innovationSupport innovative delivery program growth worldwideWrite business and technical documents communicating business context, methods, and results to business leadership and other scientistsServe as a technical lead and mentor for junior scientists, ensuring a high science barServe as a technical reviewer for our team and related teams, including document and code reviewsBASIC QUALIFICATIONS- PhD in economics or equivalent ...

Join our Amazon Private Brands Intelligence organization in building science and tech solutions at scale to delight our customers with products across our leading private brands such as Amazon Basics, Amazon Essentials, and by Amazon.Our team uses Machine Learning, Statistics, and Econometrics to develop scalable data-driven solutions to drive strategic business decisions and optimize product inputs. You will be working in an interdisciplinary team of Scientists, Economists, Engineers, and Product Managers incubating and building day one solutions using cutting-edge technology, to solve some of the toughest business problems at Amazon.As a Senior Economist at Private Brand Intelligence, you will have the opportunity to invent novel solutions and prototypes, and directly contribute to bringing your ideas to life through production implementation. You will also work closely with economists/scientists across the org on their model designs and implementations, and find synergy in science research and prototypes across different projects.This is a unique, high visibility opportunity for someone who wants to develop cutting edge science solutions and have direct business and customer impact.A day in the lifeBASIC QUALIFICATIONS- PhD in economics or equivalent- Experience in causal inference modelling ...

The Fulfillment by Amazon (FBA) and Supply Chain by Amazon (SCA) enable third-party sellers to use Amazon’s world-class science and logistics infrastructure to supply and fulfill customers worldwide with unprecedented fast delivery promise to customer. In doing so, sellers spend more time building great products, delight customers and grow their business.The FBA team is looking for a Senior Economist with strong causal inference and econometrics skills to join our cross-domain group of economists, applied scientists, research scientists, and data scientists. This person will primarily focus on the new and exciting domain of SCA. As a Senior Economist, you will be part of a high-impact team building cutting edge economic and causal models, developing incentive and recommendation systems, conducting experiments to evaluate and (re)design products and policies, quantifying the impact of FBA and SCA workflows, as well as designing and evaluating economic mechanisms to address the information asymmetries between sellers and Amazon. This person will be collaborating closely with business and software teams to research, innovate, and solve high impact economics problems facing the worldwide FBA business.We are seeking someone who can thrive in a fast-paced, high-energy, and fun-to-work environment, where the team delivers value incrementally and frequently. 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 careers.Key job responsibilities- Research and develop causal models at scale to solve diverse and complex economic/business problems faced in FBA/SCA inventory and capacity management systems.- Build economic, statistical, and predictive models to enhance our understanding of seller behavior, preferences, and dynamics.- Provide data-driven guidance on strategic SCA related policy and economic questions.- Propose innovative and rigorous ways of collecting data about our sellers’ expectations and actions to help developing new products and services for our sellers.- Design and conduct randomized experiments to validate theories and improve understanding of Amazon’s third-party seller ecosystem and supply chain.- Develop mechanisms to align millions of sellers’ decisions with those of customers’ needs through better coordinating inventory, inbound, and capacity related decisions.- Collaborate with product managers, scientists, and software developers to incorporate models into production processes and influence senior leaders.About the teamSellers play a vital role in Amazon’s ecosystem, integral to our mission of offering the Earth’s largest selection and lowest prices. FBA is a service that enables third-party sellers to outsource order fulfillment to Amazon, and leverage Amazon’s world-class facilities to provide customers Prime delivery promise. By partnering with Amazon, sellers benefit from powerful, cost-effective solutions that leverage our scale and technology, gain access to Prime members worldwide, increase their sales, and have more time to continue inventing amazing products for customers. With commitment to taking on even more of the supply chain and operational complexities on behalf of our selling partners, Amazon introduced Supply Chain by Amazon (SCA), an end-to-end, fully automated suite of supply chain services. This comprehensive solution empowers sellers to quickly and reliably transport products from manufacturing sites to customers worldwide. Amazon Warehousing and Distribution (AWD) is a pivotal service in SCA that provides best-in-class bulk storage and distribution services to sellers, ensuring they remain well-stocked across all their sale and fulfillment channels while reducing the total supply chain costs. The FBA team is the core group in charge of fulfillment, inventory management, pricing, and a diverse range of operational recommendation services for sellers, as well as building the internal resource management systems. We work to learn seller behavior, understand seller experience, build automated assistants to sellers, recommend right actions to sellers, design seller policies and incentives, and develop science products and services that empower third-party sellers to grow their businesses. To do so, we build and innovate science solutions at the intersection of machine learning, statistics, economics, operations research, and data analytics. 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.BASIC QUALIFICATIONS- PhD in economics or equivalent- Experience in industry, consulting, government or academic research- Experience in building statistical models using R, Python, STATA, or a related software- Hands on experience in applied economic analysis with big data, machine learning, causal models, and data science. ...

Amazon is looking for an outstanding Senior Economist to help build next generation selection/assortment systems. On the Specialized Selection team within the Supply Chain Optimization Technologies (SCOT) organization, we own the selection to determine which products Amazon offers in our fastest delivery programs. We build tools and systems that enable our partners and business owners to scale themselves by leveraging our problem domain expertise, focusing instead on introspecting our outputs and iteratively helping us improve our ML models rather than hand-managing their assortment. We partner closely with our business stakeholders as we work to develop state-of-the-art, scalable, automated selection.Our team is highly cross-functional and employs a wide array of scientific tools and techniques to solve key challenges, including supervised and unsupervised machine learning, non-convex optimization, causal inference, natural language processing, linear programming, reinforcement learning, and other forecast algorithms. Some critical research areas in our space include modeling substitutability between similar products, incorporating basket awareness and complementarity-aware logic, measuring speed sensitivity of products, modeling network capacity constraints, and supply and demand forecasting.We're looking for a candidate with a background in experiment design and causal analysis to lead studies related to selection and speed. Potential projects include understanding the short-term and long-term customer impact of assortment changes across different speed. As an Senior Economist, you'll build econometric models using our world-class data systems and apply economic theory to solve business problems in a fast-moving environment. You will work with software engineers, product managers, and business teams to understand the business problems and requirements, distill that understanding to crisply define the problem, and design and develop innovative solutions to address them. To be successful in this role, you'll need to communicate effectively with product and tech teams, and translate data-driven findings into actionable insights. You'll thrive if you enjoy tackling ambiguous challenges using the economics toolkit and identifying and solving problems at scale. We have a supportive, fast-paced team culture, and we prioritize learning, growth, and helping each other continuously raise the bar.Key job responsibilities- Lead data-driven econometric studies to create future business opportunities- Consult with stakeholders in Selection and other teams to help solve existing business challenges- Independently identify and pursue new opportunities to leverage economic insights- Advise senior leaders and collaborate with other scientists to drive innovation- Support innovative delivery program growth worldwide- Write business and technical documents communicating business context, methods, and results to business leadership and other scientists- Serve as a technical lead and mentor for junior scientists, ensuring a high science bar- Serve as a technical reviewer for our team and related teams, including document and code reviewsBASIC QUALIFICATIONS- PhD in economics or equivalent- Experience in econometrics (e.g., program evaluation, forecasting, time series, panel data, or high dimensional problems), economic theory, and quantitative methods- Experience in building statistical models using R, Python, STATA, or a related software- Experience in industry, consulting, government or academic research- Familiar with various experimental designs and their applications ...