Economics

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 ...

We are seeking a motivated Economist intern to assist with causal inference research and analysis. The ideal candidate will have a strong foundation in econometrics, statistics, and programming (R or Python). Key responsibilities include conducting literature reviews, data cleaning and analysis, implementing causal inference methods (e.g., difference-in-differences, Synthetic Control, Double Machine Learning, regression discontinuity), and contributing to solving real business problems.These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to apply causal inferencing techniques on real world data collaborating with economists, scientists, and business managers. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 85% of previous cohorts have converted to full time economist employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com.About the teamWWGS (Worldwide Grocery Stores) organization leads the innovation of Amazon’s omni-channel grocery offerings (Fresh, Whole Foods, 3P). In this space, Amazon aims to delight customers by providing broad selection, competitive prices, best-in-class delivery, convenient in-store/pickup options across regions, and an end-to-end shopping experience that makes it easy for customers to discover what they love and build complete grocery baskets. Among other things, the Marketing and E-Commerce science team within Grocery Optimization and Analytics is responsible for measuring performance of marketing efforts and other large scale strategic programs (e.g., Grocery Subscriptions) across Amazon Grocery.BASIC QUALIFICATIONS- PhD student in Economics (enrolled in 3rd year or more and not currently on the job market) ...

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.Ideal candidates will work closely with business partners to develop science that solves the most important business challenges. They will work well 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 development of scientific models and manage the data analysis, modeling, and experimentation that is necessary for estimating and validating models. They will be customer-centric – clearly communicating scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions.Key job responsibilitiesUse reduced-form causal analysis and/or structural economic modeling methods to evaluate the impact of change on employee outcomes. BASIC QUALIFICATIONS- PhD in economics or equivalent- Knowledge of Python or R- Experience with survey methods, including survey design, sample size calculations, weighting, and primary data collection. ...

Amazon's Global XCM organization (Cross-Category, Cross-Channel Marketing) is looking for a talented Tech Lead Senior Economist who is interested in solving one of the most challenging business problems in marketing measurement and optimization, and developing cutting-edge ML model. Working with our team of data scientists, applied scientists, research scientists, and economists, this leader will help redefine scalable marketing measurement and optimization. XCM’s mission is to be the most culturally and contextually aware, creatively breakthrough, and measurably effective marketing organization in the world. In this role, you will be a technical leader in Econometric research with significant scope, impact, and high visibility. You will lead strategic measurement and optimization science initiatives in collaboration with external science teams, and development and deployment of measurement and real-time predictive and optimization science models. As a successful Economist, you are an analytical problem solver who enjoys diving into data, leads problem solving, guides development of new frameworks, writes code, is excited about investigations and algorithms, and can credibly interface between technical teams and business stakeholders. You are an expert in causal inference models to solve business problems. You are a hands-on innovator who can contribute to advancing Marketing measurement technology and push the limits on what’s scientifically possible with a razor sharp focus on measurable customer and business impact. You will also coach and guide junior scientists in the team to grow the team’s talent and scale the impact of your work.Key job responsibilities- Design and implement production-ready causal machine learning models to solve complex measurement and optimization challenges- Partner with cross-functional science teams to drive innovative high-impact initiatives- Collaborate with key stakeholders to develop strategic roadmaps and ensure successful project execution- Mentor junior scientists and establish technical best practices for the teamBASIC 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. ...

We are hiring a Senior Economist with the ability to disambiguate very challenging structural problems in two and multi-sided markets. The right hire will be able to dive deep into the data to come up with stylized facts, build reduced form models that motivate structural assumptions, and build to more complex structural models. The main use case will be understanding how 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. This role is important for the development of the strategic direction of the AWS Central Economics and Science team. 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 and 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 ...

We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Python is necessary, and experience with SQL and UNIX 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, scientists, and product managers. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 85% of previous cohorts have converted to full time economist employment at Amazon. If you are interested, please send your CV to our mailing list at: econ-internship@amazon.com. 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 ...

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 a Senior 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 a Senior 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 responsibilitiesLeverage deep expertise in causal inference to develop robust, causally grounded ads measurement solutionsDisambiguate problems to propose clear evaluation frameworks and success criteriaWork autonomously and write high quality technical documentsPartner closely with other scientists to deliver large, multi-faceted technical projectsShare and publish works with the broader scientific community through meetings and conferencesCommunicate clearly to both technical and non-technical audiences and leadersDrive the roadmap of key projects within the teamWork effectively with others to build consensus on contentious issuesMentor more junior scientists and participate in the hiring processBASIC QUALIFICATIONS- PhD in economics or equivalent ...

Amazon’s Customer Behavior Analytics org is looking for an Economist to spearhead the rapid growth of our Marketing Measurement solutions. The team focuses on building scalable ML and causal inference solutions to estimate the effectiveness of Amazon marketing efforts and provide actionable insights to the various marketing teams within Amazon. We work closely with business stakeholders and strive to continuously produce tangible impact on the company’s strategic and tactical planning and operations.A successful candidate will be a self-starter, comfortable with ambiguity, able to think big and be creative, while still paying careful attention to detail. You will apply your econometrics expertise to identify opportunities for further research and to provide insights that drive larger initiatives. You should be able to translate how data represents the customer journey, be comfortable dealing with large and complex data sets, and have experience using machine/deep learning at scale to solve business problems. You should have strong analytical and communication skills, be able to work with product managers and software teams to define key business questions and work with the analytics team to solve them. You will join a highly collaborative and diverse working environment that will empower you to shape the future of Amazon marketing, as well allow you to be part of the large science community within the Customer Behavior Analytics (CBA) organization. Key job responsibilitiesThe main responsibilities for this position include: - Apply your expertise in causal modeling and ML to develop systems that describe how Amazon’s marketing campaigns impact customers’ actions - Own the end-to-end development of novel causal inference models that address the most pressing needs of our business stakeholders and help guide their future actions - Improve upon and simplify our existing solutions and frameworks - Review and audit modeling processes and results from other economists/scientists, both junior and senior - Work with marketing leadership to align our measurement plan with business strategy - Formalize assumptions about how our models are expected to behave and explain why they are reasonable - Identify new opportunities that are suggested by the data insights - Bring a department-wide perspective into decision making - Develop and document scientific research to be shared with the greater science community at AmazonAbout the teamThe Customer Behavior Analytics (CBA) organization owns Amazon’s insights pipeline, from data collection to deep analytics. We aspire to be the place where Amazon teams come for answers, a trusted source for data and insights that empower our systems and business leaders to make better decisions. Our outputs shape Amazon product and marketing teams’ decisions and thus how Amazon customers see, use, and value their experience.BASIC QUALIFICATIONSPhD in economics or equivalentKnowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software ...

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 ...

We are looking for detail-oriented, organized, and responsible individuals who are eager to apply their talents and skills to help develop state of the art forecasting models and estimate them on large and complicated data sets. Knowledge of time series econometrics and experience with Python are necessary; familiarity with MATLAB and Bayesian estimation techniques, especially for state space models, are preferable.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 times series analysis and forecasting at Internet speed collaborating with economists, scientists, and product managers. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 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 QUALIFICATIONSPhD student in Economics (enrolled in 3rd year or more and not currently on the job market) ...

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 an economist with expertise in applying causal inference methods, especially experimental design to topics in labor, personnel, education, or behavioral economics. We are particularly interested in candidates with experience applying these skills to strategic problems with significant business and/or social policy impact.The candidate will work with economists and engineers to estimate and validate their models on large scale data, and will help business partners turn the results of their analysis into policies, programs, and actions that have a major impact on Amazon’s business and its workforce. We are looking for a creative thinker who can combine a strong economic toolbox with a desire to learn from others, and who knows how to execute and deliver on big ideas.Ideal candidates will own key inputs to all stages of research projects, including model development, survey administration, experimental design, and data analysis. They will be customer-centric, working closely with business partners to define key research questions, communicate scientific approaches and findings, listen to and incorporate partner feedback, and deliver successful solutions. BASIC QUALIFICATIONS- PhD in economics or equivalent ...

Amazon is seeking an innovative and talented Economist to join our Stores Ads Science team. In this role, you will play a crucial role in developing and implementing advanced econometrics and machine-learning solutions to solve complex business problems in a highly ambiguous problem space at the intersection of Amazon’s Stores and Advertising businesses, and deliver measurable business impacts via cross-team and cross-functional collaboration. This position requires a blend of technical expertise, leadership skills, and the ability to drive projects from conception to production.Amazon is investing heavily in building a world-class advertising business. Our advertising products are strategically important to Amazon’s Retail and Marketplace businesses for driving long-term growth. The Stores Ads Science team is dedicated to identifying and capitalizing on opportunities that jointly optimize Amazon's Stores and Advertising businesses. We focus on leveraging advertising signals to enhance Stores' decision-making processes and vice versa, ultimately driving long-term economic value for shoppers, sellers/vendors, and Amazon.We collaborate closely with tech and product teams across Stores and Advertising, continuously advancing experimentation methodologies to accelerate scientific development and quantify business impacts. Our team is characterized by high motivation, strong collaboration, and an entrepreneurial spirit with a bias for action.Key job responsibilities- Develop economic theory and deliver econometrics and machine learning models at scale.- Design, conduct, and analyze complex experiments to validate hypotheses and quantify the impact of new algorithms and features- Collaborate with cross-functional teams to translate research into scalable, production-ready solutions- Drive data-driven decision making to optimize Amazon's Stores and Advertising ecosystem- Write effective business narratives and scientific papers to communicate to both business and technical audiencesBASIC QUALIFICATIONS- PhD in economics or equivalent ...

This position gives you an opportunity to conceptualize an Amazon wide program from scratch If that rings a bell and if you possess the confidence to navigate through early stage ambiguities, read on. Amazon Selection and Catalog Systems (ASCS) builds the systems that host and run the world’s largest e-Commerce products catalog - it powers the online buying experience for customers worldwide so they can find, discover and buy anything they want. Amazon’s customers rely on the completeness, consistency and correctness of Amazon's product data to make well-informed purchase decisions. Improving the quality of product data is a continuous process. It requires data driven decisions on what product data changes simplify and improve the Customers’ experience. Our team seeks a Sr. Economist with demonstrated experience of applying causal inference at scale. Our problems include attributing values to actions in complex world of catalog information driving customer behavior. The ideal candidate combines acumen in data science and causal modeling to grapple with these and other challenges and guide decision-making at the highest levels. This is an opportunity to influence catalog quality improvements across Amazon. BASIC QUALIFICATIONS- PhD in economics or equivalent- Quantitative Marketing, Finance, or a related field.- Hands-on experience working in the causal inference domain.- Keen judgment for balancing research depth and pacing.- Work and collaborate effectively with tech teams, and launch to production.- Influence senior leadership teams on the value propositions and generate new product ideas. ...

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 an economist with expertise in applying causal inference methods, especially experimental design to topics in labor, personnel, education, or behavioral economics. We are particularly interested in candidates with experience applying these skills to strategic problems with significant business and/or social policy impact.The candidate will work with economists and engineers to estimate and validate their models on large scale data, and will help business partners turn the results of their analysis into policies, programs, and actions that have a major impact on Amazon’s business and its workforce. We are looking for a creative thinker who can combine a strong economic toolbox with a desire to learn from others, and who knows how to execute and deliver on big ideas.Ideal candidates will own key inputs to all stages of research projects, including model development, survey administration, experimental design, and data analysis. They will be customer-centric, working closely with business partners to define key research questions, communicate scientific approaches and findings, listen to and incorporate partner feedback, and deliver successful solutions.BASIC QUALIFICATIONSPhD in economics or related field. Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software ...

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's Global XCM organization (Cross-Category, Cross-Channel Marketing) is looking for a talented Economist who is interested in solving one of the most challenging business problems in marketing measurement and optimization, and developing cutting-edge ML model. XCM’s mission is to be the most culturally and contextually aware, creatively breakthrough, and measurably effective marketing organization in the world. In this role, you will pioneer real-time marketing measurement and optimization solutions by combining causal inference with advanced ML models. You'll leverage Amazon's customer behavior data and external datasets to build scalable solutions, while partnering with marketing stakeholders and product teams to translate business needs into actionable insights. Your expertise in causal inference and machine learning will be crucial in enhancing customer engagement and marketing effectiveness across Amazon's global marketing ecosystem.Key job responsibilities- Design and implement advanced causal inference and machine learning solutions for marketing measurement and optimization;- Transform complex business requirements into technical questions- Translate model outputs to actionable insights through close collaboration with marketing stakeholders and product teams;- Work with product and engineering teams to deploy the model into automation systemBASIC QUALIFICATIONS- PhD in economics or equivalent ...

The Selling Partner Fees team owns the end-to-end fees experience for two million active third party sellers. We own the fee strategy, fee seller experience, fee accuracy and integrity, fee science and analytics, and we provide scalable technology to monetize all services available to third-party sellers. We are looking for a Senior Economist to lead the development of economic models and tools to optimize the structure and magnitude of fees paid by >4MM of heterogeneous Sellers Worldwide. This person will work on the development of economic, statistical and machine learning models to understand third party seller behaviors and enhance our fee optimization models. The ideal candidate needs to be comfortable transitioning between theoretical Economic models and empirical ones, and use the combination of these models to provide guidance for fee setting.A successful Economist in this role will enjoy dealing with ambiguous problems and working in a fast-paced and dynamic environment. The position also requires collaboration with other scientists (Economists, Data Scientists…), Strategy Analysts, Product Managers and Software Developers.Key job responsibilities- Design and develop theoretical and empirical models to assess the causal impact of fees on third party sellers’ behavior and business performance.- Lead enhancements into existing fee calculation models to maximize the long term health of the Amazon third-party marketplace.- Collaborate with product managers, data scientists, and software developers to incorporate models into production processes and influence senior leaders.- Act as ambassador of the fees scientific community.BASIC QUALIFICATIONS- PhD in economics or equivalent- Demonstrable experience in any of the following areas of applied economics (multiple areas preferred): reduced-form causal analysis, mechanism design, industrial organization, insurance economics, dynamics and calibration methods. ...

The Selling Partner Fees team owns the end-to-end fees experience for two million active third party sellers. We own the fee strategy, fee seller experience, fee accuracy and integrity, fee science and analytics, and we provide scalable technology to monetize all services available to third-party sellers. We are looking for a Senior Economist to lead the development of economic models and tools to optimize the structure and magnitude of fees paid by >4MM of heterogeneous Sellers Worldwide. The ideal candidate will be an influencer with technical skills and a practical mindset. They will lead the development of economic, statistical and machine learning models to understand third party seller behaviors and enhance our fee optimization models. This candidate will be comfortable leading research in unexplored areas and communicating their findings with senior leadership. They will enjoy dealing with ambiguous problems and working in a fast-paced and dynamic environment. The position also requires collaboration with other scientists (Economists, Data Scientists…), Strategy Analysts, Product Managers and Software Developers. Responsibilities: · Design and develop rigorous models to assess the causal impact of fees on third party sellers’ behavior and business performance. · Lead enhancements into existing fee calculation models to maximize the long term health of the Amazon third-party marketplace. · Own the scientific vision and direction related to fees worldwide. · Collaborate with product managers, data scientists, and software developers to incorporate models into production processes and influence senior leaders. · Act as ambassador of the fees scientific community.BASIC QUALIFICATIONS- PhD in economics or equivalent- Knowledge of Python or R- Experience in developing and executing an analytic vision to solve business-relevant problems- Do you have experience querying your own data in SQL/ETL? ...