Economics

This is a Department of Labor Registered Apprenticeship Program.The Amazon Economics organization is seeking highly skilled and motivated individuals to join our 2-year Pre-Doctoral Program. As an Apprentice, you will have the unique opportunity to work alongside full-time Amazon Economists and academic mentors, gaining hands-on experience in cutting-edge economic research. Key Responsibilities:* Collaborate with cross-functional teams to tackle real-world business challenges using advanced economic methodologies and large, complex data sets* Develop proficiency in economic analysis, data management, and statistical programming (Python, R, Stata)* Acquire research skills and experiences to strengthen your PhD program applicationsProgram Benefits:* Mentorship from seasoned Amazon Economists and university professors* Guidance on PhD program prerequisites and admissions coaching* Exposure to fast-paced business research lifecycle, from data collection to decision impactWe are committed to cultivating a diverse and inclusive research community. Individuals from underrepresented backgrounds are strongly encouraged to apply.To apply, please submit a single PDF bundle including: your CV/resume, academic transcripts, and a research writing sample with a personal statement outlining your research interests and career goals.The Apprenticeship Program is based in Seattle, WA.Apprenti will act as the Apprenticeship Intermediary, managing the apprentice employment process, providing pay and benefits to apprentices, maintaining documentation and fulfilling statutory reporting requirements for all apprentices registered in the Apprenti program. Amazon is responsible for providing meaningful work opportunity and providing day-to-day apprentice supervision, from instructor led training to development in on the job learning.BASIC QUALIFICATIONS- Enrolled in the final year of their bachelor’s program or have recently obtained their bachelor’s degree.- Graduate education (M.A./M.S.) and prior work experience is considered in the application process but not required.. ...

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 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. ...

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.BASIC QUALIFICATIONS- PhD in economics or equivalent ...

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. ...

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 ...

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 ...

The Private Brands Discovery team designs innovative machine learning solutions to drive customer awareness for Amazon’s own brands and help customers discover products they love. Private Brands Discovery is an interdisciplinary team of Scientists and Engineers, who incubate and build disruptive solutions using cutting-edge technology to solve some of the toughest science problems at Amazon. To this end, the team employs methods from Natural Language Processing, Deep learning, multi-armed bandits and reinforcement learning, Bayesian Optimization, causal and statistical inference, and econometrics to drive discovery across the customer journey. Our solutions are crucial for the success of Amazon’s own brands and serve as a beacon for discovery solutions across Amazon.This is a high visibility opportunity for someone who wants to have business impact, dive deep into large-scale problems, enable measurable actions on the consumer economy, and work closely with scientists and engineers. As a scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.. With a focus on bias for action, this individual will be able to work equally well with Science, Engineering, Economics and business teams. Key job responsibilities- 5+ yrs of relevant, broad research experience after PhD degree or equivalent.- Advanced expertise and knowledge of applying observational causal interference methods- Strong background in statistics methodology, applications to business problems, and/or big data.- Ability to work in a fast-paced business environment.- Strong research track record.- Effective verbal and written communications skills with both economists and non-economist audiences.BASIC QUALIFICATIONS- PhD in economics or equivalent ...

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 ...

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. ...

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. ...

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 ...

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. ...

At Amazon, we're committed to pioneering new frontiers in customer experience, and Fashion Tech is at the forefront of this mission. Our programs and technologies are revolutionizing how customers interact with fashion products, presenting unique challenges and opportunities for quantifying their economic impact. We're seeking a highly experienced Principal Economist with expertise in causal modeling to lead our efforts in understanding the economic impact of our efforts in this dynamic space.Over the years, teams across Amazon have built systems that can value content and even optimize what is shown based on relevant ‘value’ metrics. However, understanding attribution and program incrementality continue to be challenges that require tying the business context with the most relevant methodology from an array of possible ones. The person in this role will work with finance, CBA and business owners to define the right metrics and methodologies to compute attributed and incremental value of programs and features, while leveraging existing frameworks wherever applicable. We want to answer questions like “If this program didn’t exist, what is the total economic value to Amazon that we would stand to lose?” and “What is the ongoing business impact of this CX post-launch?”. Key job responsibilities- Spearhead collaborative efforts with finance, CBA (Cost-Benefit Analysis), and business teams to define robust metrics and methodologies for measuring the attributed and incremental value of Fashion Tech programs and features.- Develop advanced frameworks and models to assess the causal economic impact of content, programs, and customer experience enhancements throughout the customer purchase funnel.- Lead the resolution of complex challenges related to content attribution and program incrementality, leveraging existing systems and methodologies while exploring innovative approaches where necessary.- Conduct in-depth economic analyses to address critical business questions, such as estimating the economic value of key programs and evaluating the ongoing business impact of post-launch customer experience improvements.- Drive cross-functional collaboration with data scientists, economists, and business leaders to integrate economic insights into strategic decision-making processes and shape future initiatives.- Stay at the forefront of industry trends, economic research, and best practices in causal modeling and econometric techniques, continuously enhancing our methodologies and frameworks to ensure relevance and effectiveness.About the teamThe Fashion Tech organization has a mission to make Amazon the most-loved fashion destination globally through technology by building novel experiences that bring a diverse breadth of customers to shop fashion in the Amazon store. The Fashion Intelligence team improves the speed, accuracy, and standards of data driven decisions across all programs within Fashion Tech. As a central analytics team, our goal is to break silos and identify interconnectedness across Fashion Tech programs, keeping the customer at the center.BASIC QUALIFICATIONS- PhD in Economics, Econometrics, Statistics, or a related quantitative field.- 8+ years of experience in applied economics, with a proven track record of leadership and impact in a technology or e-commerce environment.- Expertise in advanced causal modeling techniques, both in experimental and observational settings- Fluency in at least one statistical software package such as R, Stata, Matlab, SAS. ...

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. ...

Amazon is looking for a talented Postdoctoral Scientist to join our Seller Fees Science & Tech team for a one-year, full-time research position. Postdoctoral Scientists will drive data-driven innovations in the seller fee domain for our EU marketplace. In this role, you will have the opportunity to:Leverage economic methods like modeling and impact estimation to address key issues using large, real-world datasets;Partner with PMs and BAs to identify data and define metrics evaluating business initiatives and making recommendations;Execute from idea to implementation as an integral part of cross-functional teams;Thrive in a highly complex and fast pacing environment.Participate in research activities, including publishing papers, attending conferences, and collaborating with academic institutions to advance the state-of-the-art in relevant fields. Key job responsibilitiesIn this role you will:Build causal inference modeling to evaluate the effects of policy changes, such as fee adjustments and new fee structures, on seller behaviors and business metrics;Analyze how sellers and key outcomes are impacted by variations in growth strategies;Design experiments to measure pilot programs and support scaling-up effort;Synthesize learnings from past policy changes into critical insight to help the business develop new strategies and make science-based decisions.Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community.Publish your innovation in top-tier academic venues and hone your presentation skills.Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise. About the teamThe Fee Science Team works on science, economic, machine learning, and data engineering projects for Selling Partner Services and third-party fees. Our projects include causal modeling and impact of structural changes, models that support fee integrity, business analytics, and a comprehensive set of data sources and pipelines.BASIC QUALIFICATIONSBasic qualifications include: - PhD in a relevant field, received within 2 years of starting the program- Proven publication record in Operation Research, Management Science, Statistics, Machine Learning, Computer Science, Econ, or other related technical fields- Experience in data science and quantitative research- Proficiency in technologies relevant to the subfield ...

Amazon.com strives to be Earth's most customer-centric company where customers can shop in our stores to find and discover anything they want to buy. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.Economists at Amazon partner closely with senior management, business stakeholders, scientist and engineers, and economist leadership to solve key business problems. Amazon Economists build econometric models using our world class data systems and apply approaches from a variety of skillsets. You will work in a fast moving environment to solve business problems as a member of a cross-functional team. You will be expected to develop techniques that apply econometrics to large data sets, address quantitative problems, and contribute to the design of automated systems around the company.Key job responsibilitiesA Senior Economist in this team leads initiatives that make a significant measurable impact on the strategic goals of the business through empowering the PV organization to make smart, long-termdecisions through the use of both online (within experiment) and offline metrics (post-predicted) that drive economically sustainable growth for Amazon. They own best in class casual models and metrics that unblock trade-off decisions when business and customer outcomes do not align.Sr. Economist in this team partners with finance to align PV’s economic models with the business financial P&L models, and works closely with Product Managers and Business to bridge the gap between science and business. They partner with data engineers and central teams to standardize economic data definitions and integrate the LTV measures directly in Amazon experimentation tooling. They set the Standard Operating Procedure for the PV LTV measurement systems, provide visibility and explainability into the model outputs to empower users to understand and use them effectively.To be successful in the role, a Senior Economist in PSE must have deep expertise in econometrics and possess a good understanding of strength and weakness of various science approaches.They drive best practices and set standards for metric development process, model calibration, evaluation and governance, and balancing science (i.e. metric fidelity) and engineering constraints. They advise onminimum data requirements for various models, and are able to persuade teams to collect additional observational or experimental data when necessary. They extensively monitor model performance and identify opportunities for improvement in model precision, sensitivity, scalability and operational excellence.About the teamPrime Video Content discovery science is a central team which defines customer and business success metrics, models, heuristics and econometric frameworks. The team develops, owns and operates a suite of data science and economic models that govern online and offline decision making systems. The team is responsible for Prime Video’s experimentation practice and continuously innovates and upskills teams across the organization on science best practices. The team values diversity, collaboration and learning, and is excited to welcome a new member whose passion and creativity will help the team continue innovating and enhancing customer experience.BASIC QUALIFICATIONS- PhD in economics or equivalent ...

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 ...

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.Do you get excited by aerospace, space exploration, and/or satellites? Do you want to help build solutions at Project Kuiper to transform the space industry? If so, then we would love to talk!Key job responsibilities• Work cross-functionally with product, business development, and various technical teams (engineering, science, simulations, etc.) to execute on the long-term vision, strategy, and architecture for the global demand forecast• Lead measurement of customer preferences and behaviors related to different product offerings, price points, and promotions and integration of findings into Kuiper's Global Demand Forecasting models.• Design and deliver modern, flexible, scalable economic models integrating data and assumptions from a variety of sources and systems, increasing forecast accuracy over time • Define science roadmaps, models, and priorities for innovation and simplification, and advance adoption of insights to influence important resource allocation and prioritization decisions• Synthesize and communicate economic insights and recommendations to audiences of varying levels of technical sophistication to drive change across Kuiper.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.BASIC QUALIFICATIONS- PhD in economics or equivalent- Experience in analytics and applied economics- Experience in building analytic or scientific data products or solutions- Experience in building statistical models using R, Python, STATA, or a related software ...