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Senior Economist, PXT Central Science
US, CA, San Francisco
The Central Science Team within Amazon’s People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. We are an interdisciplinary team, which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. We are looking for a Senior Economist who is able to provide structure around complex business problems, hone those complex problems into specific, scientific questions, and test those questions to generate insights. The ideal candidate will work with various science, engineering, operations, and analytics teams 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. They will lead teams of researchers to produce robust, objective research results and insights which can be communicated to a broad audience inside and outside of Amazon. The ideal candidate has a PhD in Economics and deep expertise in causal inference and applied econometrics. Experience with large-scale data, proficiency in statistical programming (Python), and familiarity with machine learning methods are a plus. To be successful in this role, you should be comfortable operating with ambiguity, able to independently scope and prioritize research agendas, skilled at influencing decisions through rigorous analysis, and comfortable with using AI tools.
Principal Economist, Fulfillment by Amazon
US, WA, Bellevue
Fulfillment by Amazon (FBA) is a service that enables sellers to outsource supply chain and fulfillment to Amazon and use Amazon's world-class science, technology, and logistics infrastructure to deliver billions of products from manufacturing hubs to customer doorsteps worldwide with fast delivery promise. The FBA organization is looking for a Principal Economist with expertise in economic and econometric modelling and demonstrated strength in market mechanism design to join our cross-domain group of economists, data scientists, applied and research scientists and scholars. As a lead economist, you will design markets and implement agentic systems that deploy supply chain and fulfillment resources to millions of heterogenous sellers. You will build causal inference models and experiments to evaluate policy impact on seller outcomes, and shape how our products evolve into trustworthy autonomous systems — collaborating with business and software teams to solve key challenges facing the worldwide FBA business. Such challenges include designing mechanisms to align sellers' decisions with customers' needs through better coordinating inventory, inbound, capacity, and fee. Successful operations enable sellers' businesses growth, while ensuring worldwide Amazon customers have access to the largest selection of products through FBA sellers. In doing so, you will shape the economics of Amazon's global fast delivery programs, including Sub Same Day Delivery and Quick Commerce, across North America, Europe, and emerging markets. We are looking for a seasoned economist who brings rigorous causal and structural thinking to traditionally operations research problems and who thrives in the ambiguity of defining the roadmap rather than receiving it. The successful candidate will have familiarity with modern GenAI methods for automation and rapid prototyping. Beyond individual contribution, you will set the long-term technical vision across work streams, and influence product managers, engineers, scientists, and senior leaders on high-judgment decisions and trade-off. You will raise the bar for the organization by establishing best practices, driving science culture, and mentoring junior economists and scientists. We value deeply technical people who deliver results incrementally and frequently in a fast-paced, high-energy and fun environment, and who are eager to learn new areas and develop themselves and their colleagues. Key job responsibilities • Design markets (e.g., auctions), incentive mechanisms (e.g. pricing), develop economic models and execute large-scale experiments to increase supply chain efficiency, to evaluate seller-facing policies, to induce proper seller actions, and to uncover new opportunities that improve customers and sellers’ outcomes. • Shape the economics of Amazon's fast delivery programs and FBA sellers’ product selection strategy (e.g., Sub Same Day Delivery and Quick Commerce) • Bridge economics and operations research by building economic frameworks for large-scale supply chain and fulfilment management problems. • Operate as a thought leader across the organization; collaborate with product managers, scientists, and software developers to incorporate models into production processes and • Influence senior leaders at VP-level on technical and business direction, and represent the science perspective. • Identify and propose new science investment areas to business leaders, shaping where the team focuses next. • Mentor and develop junior economists and scientists, and raise the technical bar for the broader science community. About the team Sellers play a vital role in Amazon's ecosystem, integral to our mission of offering the Earth's largest selection, lowest prices, and fastest delivery speed. FBA is an optional service that enables third-party sellers to outsource order fulfillment to Amazon, and leverage Amazon's world-class facilities to provide customers fast delivery promise. With commitment to taking on even more of the supply chain and operational complexities on behalf of our selling partners, Amazon now provides an end-to-end suite of supply chain services. This comprehensive solution empowers sellers to reliably transport products from manufacturing sites to customers worldwide. The FBA team is the core group in charge of warehousing, inventory management, fulfillment and pricing, and a diverse range of recommendation and agentic services for sellers, as well as building the autonomous internal resource management systems. We work to learn seller behavior, understand seller experience, build automated and trustworthy autonomous assistants to sellers, recommend right actions to sellers, design seller policies and incentives, and develop science products and services that empower sellers to grow their businesses. To do so, we build and innovate science solutions that leverage the right tolls across different fields including economics, operation research, machine learning, statistics, and data analytics. Our culture is centered on rapid prototyping, rigorous experimentation, and data-driven decision-making. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, or Sunnyvale, CA.
Economist, AWS Marketing Science
US, WA, Seattle
Are you excited about building the science behind marketing measurement for one of the world's largest B2B technology companies? AWS Marketing is looking for an Economist to help expand our measurement framework beyond demand generation — into brand, product-led growth (PLG), and developer programs. You will work to develop the models and analyses that quantify how these investments drive customer acquisition, engagement, and long-term value. In this role, you will contribute to the design and execution of measurement approaches for marketing investments that operate through mechanisms distinct from traditional performance marketing. You will help answer questions such as: What is the incremental impact of brand awareness on customer preferences and conversion costs? How do PLG and developer program investments translate into measurable business outcomes? How should we estimate returns at the program and customer level, not just the channel level? What is the right level of investment across these categories relative to demand generation? This role combines rigorous economics with applied problem-solving. You will build econometric models, run causal analyses, work with large-scale datasets, and translate findings into recommendations for marketing and finance stakeholders. You will operate in a space where established B2B methodology is limited — bringing structure, creativity, and intellectual rigor to novel measurement problems. Key job responsibilities Develop econometric and causal inference models to estimate the impact of brand, PLG, and developer program investments on acquisition, engagement, and revenue Build measurement approaches that produce program-level and customer-level estimates, extending the team's existing channel-level framework Connect upper-funnel metrics (awareness, consideration, salience) and product engagement signals to downstream business outcomes including revenue and customer lifetime value Apply methods suited to long-horizon effects with slow feedback loops — distinguishing these from shorter-cycle performance marketing signals Conduct empirical analyses using large-scale observational and experimental data, ensuring statistical rigor and reproducibility Partner with the senior economist leading this area to design research agendas, scope analyses, and iterate on methodology Communicate findings clearly to technical and non-technical audiences, including marketing leaders and finance partners Stay current on measurement literature across academia, consulting, and industry; bring relevant approaches into AWS's framework Collaborate with data scientists and engineers to operationalize models and integrate results into marketing science products About the team The AWS Marketing Science team is a group of scientists, economists, and engineers building science products that power marketing decisions across AWS. We measure outcomes, target customers, and forecast growth — and we consult with marketing stakeholders on how to optimize their investment. Our team has deep expertise in lower-funnel measurement (multi-touch attribution, incrementality testing, long-term ROI) and is now expanding into brand, PLG, and developer program measurement. You will be part of building that capability from the ground up.
Economist I, Capacity Economics, AWS Central Economics & Science
US, WA, Seattle
The AWS Central Economics & Science team is looking for a PhD economist. The ideal candidate will be proficient in both reduced form and structural estimation and, most importantly, will be eager to learn new methods where applicable. The ideal candidate should be a problem-solver first, with an ability to bring theoretical frameworks to real-world business problems, working backwards from the business problem rather than from any particular solution method. In this role, you will become a subject-matter expert in cloud infrastructure, creating theoretical frameworks, data-driven insights, and statistical models to help AWS serve its total demand at a lower cost. You will work closely with finance, product, and engineering teams—as well as economists and other scientists—to understand complex systems and products, and will have the freedom to propose, explore, and deliver on a wide variety of projects that emerge from your research. Our team functions like a start-up within the AWS ecosystem—we have the freedom to identify greenfield problems that other economists have not explored yet, and build trust with the business through delivering valuable insights and policy changes. Most importantly, we solve problems at a massive scale and do it in a collaborative, curious, supportive, and fun environment. Key job responsibilities - Become a subject-matter expert in various areas of infrastructure, cost management, and transfer pricing. - Deliver insights that leads to policy changes through analysis, modeling, and theoretical frameworks. - Collaborate closely with non-economist business partners to communicate insights, implement solutions through production models, and develop a research agenda. About the team ACES works on high-impact projects for AWS service teams and leadership. This position will support the cost and transfer pricing optimization team to help AWS continue to scale its infrastructure efficiently in a fast-changing technological and competitive environment.
Economist, Amazon Customer Service
US, WA, Seattle
Amazon Customer Service (CS) Data Intelligence builds the data and Artificial Intelligence (AI) foundations for CS to ensure Amazon delivers the best customer service possible. CS Economics sits within CS DI and contributes to the CS knowledge base and decision frameworks. CS Economics seeks economists to apply economic methods to solve business problems. The ideal candidate will work with engineers and applied scientists to design models that leverage large scale and unstructured data, design scalable agents for non-tech CS partners to understand the impact of their actions, and propose mechanism designs to robustly match customers to our services. CS Economics is looking for optimistic critical-thinkers who combine a strong technical economic toolbox with a desire to learn from other disciplines, and who know how to execute and deliver on big ideas as part of an interdisciplinary technical team. Ideal candidates enjoy working in a team setting with individuals from diverse disciplines and backgrounds. They will work with teammates to develop scientific models and conduct 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 responsibilities - Design and conduct rigorous evaluations of CS actions - Develop experiments to evaluate product launches - Communicate complex findings to business stakeholders in clear, actionable terms - Work with engineering teams to develop scalable tools that automate and streamline evaluation processes A day in the life Work with teammates to apply economic methods to business problems, e.g., identify the appropriate research question and identification strategy, write code to estimate heterogeneous treatment effects or conduct experiment analysis, write and present a document with findings to business leaders. We collaborate with partner teams within and outside of CS throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions. About the team Amazon Customer Service (CS) Economics provides estimates and measures of the causal impact of CS actions on costs and benefits. We build agents and guide leadership to establish processes to scale valid experimentation, causal inference, and mechanism design.
Economist, Amazon Customer Service
US, WA, Seattle
Amazon Customer Service (CS) Data Intelligence builds the data and Artificial Intelligence (AI) foundations for CS to ensure Amazon delivers the best customer service possible. CS Economics sits within CS DI and contributes to the CS knowledge base and decision frameworks. CS Economics seeks economists to apply economic methods to solve business problems. The ideal candidate will work with engineers and applied scientists to design models that leverage large scale and unstructured data, design scalable agents for non-tech CS partners to understand the impact of their actions, and propose mechanism designs to robustly match customers to our services. CS Economics is looking for optimistic critical-thinkers who combine a strong technical economic toolbox with a desire to learn from other disciplines, and who know how to execute and deliver on big ideas as part of an interdisciplinary technical team. Ideal candidates enjoy working in a team setting with individuals from diverse disciplines and backgrounds. They will work with teammates to develop scientific models and conduct 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 responsibilities - Design and conduct rigorous evaluations of CS actions - Develop experiments to evaluate product launches - Communicate complex findings to business stakeholders in clear, actionable terms - Work with engineering teams to develop scalable tools that automate and streamline evaluation processes A day in the life Work with teammates to apply economic methods to business problems, e.g., identify the appropriate research question and identification strategy, write code to estimate heterogeneous treatment effects or conduct experiment analysis, write and present a document with findings to business leaders. We collaborate with partner teams within and outside of CS throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions. About the team Amazon Customer Service (CS) Economics provides estimates and measures of the causal impact of CS actions on costs and benefits. We build agents and guide leadership to establish processes to scale valid experimentation, causal inference, and mechanism design.
Economist, Stores Economics and Science
US, WA, Seattle
This role will develop Economic and Econometric models and thought leadership on projects that span our business, with a particular focus on supply chain and inventory selection. Through the lens of economics, you will develop a deeper understanding of how customers value our selection and interact with Amazon's store to make shopping easier. You will be a key scientist, advising Amazon leaders how to evaluate selection and understand customers. You will work on developing frameworks and scaleable, repeatable models supporting optimal pricing and policies for Amazon's business. You will partner with science and technology teams across Amazon including Supply Chain, Operations, Retail, FBA, Consumer Pricing, and Finance. Key job responsibilities The ideal candidate will have extensive 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. Ability to incorporate AI tools and methods into your work is highly valued. They will work closely with Economists, Data/Applied Scientists, Software Engineers and Product Managers to integrate economic insights into policy and systems production. About the team The Stores Economics and Sciences team is a central science team that supports Amazon's Retail and Supply Chain leadership. We tackle some of Amazon's most challenging economics and machine learning problems, where our mandate is to impact the business on massive scale.
Economist, Ads Measurement Science
US, NY, New York
The Ads Measurement Science team in the Measurement, Ad Tech, and Data Science (MADS) team of Amazon Ads serves a centralized role developing solutions for a multitude of performance measurement products. We create solutions which measure the comprehensive impact of their ad spend, including sales impacts both online and offline and across timescales, and provide actionable insights that enable our advertisers to optimize their media portfolios. We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision. We are hiring an Economist on the team to develop the next generation of incrementality measurement products, capturing the effect of advertising in driving sales as well as the effects of measurement tools on advertiser engagement with Amazon. As an Economist on the team, you will lead the design, implementation, and validation of large-scale causal inference methodologies to capture these properties. You will communicate your results with science and business leaders, and partner with other scientists and engineers to carry solutions into production. Key job responsibilities Leverage deep expertise in causal inference to develop robust, causally grounded ads measurement solutions Disambiguate problems to propose clear evaluation frameworks and success criteria Work autonomously and write high quality technical documents Partner closely with other scientists to deliver large, multi-faceted technical projects Share and publish works with the broader scientific community through meetings and conferences Communicate clearly to both technical and non-technical audiences and leaders Contribute new ideas that shape the direction of the team's work Mentor more junior scientists and participate in the hiring process
Principal Economist, Amazon Leo, Plans & Pricing
US, WA, Bellevue
Amazon Leo is Amazon’s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. The Amazon Leo team is looking for a seasoned Principal Economist who are high performing, motivated and believe in our mission to close the digital divide. We operate in a fast-paced startup environment and offer many challenging and rewarding projects. Every day is Day 1 at Amazon Leo and we are just getting started. Key job responsibilities The Principal Economist role is responsible for defining and delivering the plans and pricing that enable business and government customers to access Amazon Leo services around the world. This involves close partnership with business development and sales teams, product teams, and our own science and analytics teams to define the principles and frameworks, plans and pricing, demand and capacity tradeoffs, and guardrails that enable high-velocity decision-making at scale. The role will also be critical in identifying economic insights, scenarios, and optimizations to improve the Amazon Leo Business. Key roles include: - Define economic principles and frameworks to guide high-velocity decision-making - Define service plans and pricing for business and government customers, direct and indirect channels, and fixed and mobility use cases - Define choice models and pricing strategies for new product offerings and bundles - Define volume and regional discount guardrails and frameworks - Deliver post-mortem insights and define experiments to optimize plans and pricing - Identify customer trends in post-mortem analysis Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. A day in the life
Senior Economist, Advertising Finance Econ and Science
US, WA, Seattle
Amazon.com is seeking an exceptional Senior Economist to join our Advertising Finance team. As a tech lead of the Adpt Finance Econ and Science team, you will play a pivotal role in answering critical questions that drive the long-term strategy of our advertising business. These questions include: - What are the long-term impacts of our initiatives? - Where will Advertising’s growth come from in the next year? - How big will the Advertising business become over the next three years? - What are the interactions between consumers and the Ads business? At Amazon, we're always finding answers that redefine industries. In this Senior Economist role, you'll have the unique opportunity to collaborate with top-tier talent, influence senior leadership, and make a tangible impact on the future of advertising. If you're passionate about pushing the boundaries of economic research, thrive on challenging modeling puzzles, and crave a dynamic environment where your insights directly shape business strategy, this is the role for you. Key job responsibilities - Lead causal analysis projects as the primary technical expert, guiding the team in applying advanced economic methodologies to solve complex business challenges. - Collaborate closely with economists, data scientists, financial managers, and business leaders to define product requirements, offer scientific support, and effectively communicate feedback throughout project lifecycles. - Utilize programming languages such as Python, R, Scala, etc., to implement sophisticated economics methods tailored to address specific business problems, ensuring robustness and scalability. - Drive continuous improvement by innovating existing methodologies, including developing new data sources, rigorously testing model enhancements, and fine-tuning model parameters to optimize performance and accuracy. - Present data and insights in a clear, actionable format, enabling stakeholders to make informed decisions and address critical business questions with confidence.
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