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  • Value of stratification in cluster-randomized experiments
    Stefan Hut, Blake Mason, Mahnaz Islam, Lledo Esquerra
    2023 Conference on Digital Experimentation @ MIT (CODE@MIT)
    2023
    There are many experimental settings that may suffer from cross-unit (customers, seller, advertiser, etc.) spillovers, for instance through network effects. Such effects introduce bias and prevent the experimenter from drawing trustworthy insights on the data. One approach to dealing with such spillovers is to group units into clusters and randomize treatment status at the cluster level. Examples of clusters
    Economics
  • The need for a durability index framework for electrical and electronic equipment to support a circular economy
    Hamidreza Habibollahi Najaf Abadi, Maxim Nikiforov, Aaron Krive, Jeffrey W. Herrmann, Mohammad Modarres
    ESREL 2023
    2023
    Enabling a circular economy aims to reduce the amount of global waste generated from electrical and electronic equipment, mitigate the associated risk to the ecosystem and human health, and address concerns over limited material resources. Durability is a critical concern because keeping products in use for a longer time should reduce resource consumption and waste. Assessing the durability of products
    Economics
  • OpportunityFinder: A framework for automated causal inference
    Huy Nguyen, Prince Grover, Devashish Khatwani
    KDD 2023 Workshop on Causal Inference and Machine Learning in Practice: Use cases for Product, Brand, Policy and Beyond
    2023
    We introduce OpportunityFinder, a code-less framework for performing a variety of causal inference studies with panel data for non-expert users. In its current state, OpportunityFinder only requires users to provide raw observational data and a configuration file. A pipeline is then triggered that inspects/processes data, chooses the suitable algorithm(s) to execute the causal study. It returns the causal
    Economics
  • Lengthen your attribution window: Which digital ads have most long-term impact?
    Vivian Qin
    Applied Marketing Analytics (AMA)
    2023
    Brands usually invest in a portfolio of digital ad products for brand consideration and conversion, and their performance is commonly evaluated with ad - attributed metrics. However, these metrics limit the measurement of advertising effectiveness within a short time window, typically of two weeks. Therefore, they could underestimate the total effect if some ad products' efficacy lasts beyond the measurement
    Economics
  • MESOB: Balancing equilibria & social optimality
    Xin Guo, Lihong Li, Sareh Nabi, Rabih Salhab, Junzi Zhang
    KDD 2023 Workshop on Multi-Armed Bandits and Reinforcement Learning (MARBLE), ICML 2023 Workshop on The Many Facets of Preference-based Learning

    2023
    Motivated by bid recommendation in online ad auctions, this paper considers a general class of multi-level and multi-agent games, with two major characteristics: one is a large number of anonymous agents, and the other is the intricate interplay between competition and cooperation. To model such complex systems, we propose a novel and tractable bi-objective optimization formulation with mean-field approximation
    Economics
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Intern - Economics, JP Retail
US, WA, Seattle
The JP Economics and Decision Science Team is looking for an Intern Economist with experience in empirical economic analysis to conduct research on the impact evaluation and prediction of marketing campaigns in Amazon Japan's online retail business. The successful candidate will work closely with the team to improve the efficiency of designing marketing campaigns. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Knowledge of econometrics and applied microeconomics and familiarity with Stata, R, or Python are necessary. Experience with SQL would be a plus, but not required. These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will work in a team of economists, data scientists, and engineers and in collaboration with product and finance 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. Key job responsibilities • Use regression analysis to estimate econometric models and develop forecasting solutions that can predict marketing campaign effectiveness. • Collaborate with other economists and data scientists to validate and refine the econometric models. • Work with product managers and software developers to integrate the forecasting models into the campaign management system. • Monitor the accuracy and effectiveness of the forecasting models and make adjustments as necessary. • Communicate your findings and recommendations to team members and stakeholders. A day in the life - Discussions with business partners, as well as product managers and tech leaders to understand the business problem. - Brainstorming with other scientists and economists to design the right model for the problem in hand. - Present the results and new ideas for existing or forward looking problems to leadership. - Deep dive into the data. - Modeling and creating working prototypes. - Analyze the results and review with partners. About the team We are a team of economists, data scientists, and business intelligence engineers supporting Amazon Japan's Customer Growth and Engagement (CGE) org as the one-stop data science enabler. We use analytical insights and products to empower CGE and align strategic decisions across partner teams (e.g., Operations, Delivery Experience, Pricing). We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA
Senior Economist, Economic Decision Science
GB, London
Economic Decision Science is a central science team working across a variety of topics in the EU Stores business and beyond. We work closely EU business leaders to drive change at Amazon. We focus on solving long-term, ambiguous and challenging problems, while providing advisory support to help solve short-term business pain points. Key topics include pricing, product selection, delivery speed, profitability, and customer experience. We tackle these issues by building novel econometric models, machine learning systems, and high-impact experiments which we integrate into business, financial, and system-level decision making. Our work is highly collaborative and we regularly partner with EU- and US-based interdisciplinary teams. 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. If you have an entrepreneurial spirit, you know how to deliver results fast, and you have a deeply quantitative, highly innovative approach to solving problems, and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you. Key job responsibilities - Provide data-driven guidance and recommendations on strategic questions facing the EU Retail leadership - Scope, design and implement version-zero (V0) models and experiments to kickstart new initiatives, thinking, and drive system-level changes across Amazon - Build a long-term research agenda to understand, break down, and tackle the most stubborn and ambiguous business challenges - Influence business leaders and work closely with other scientists at Amazon to deliver measurable progress and change We are open to hiring candidates to work out of one of the following locations: London, GBR
Principal Economist, Topline Forecasting
US, WA, Bellevue
Where will Amazon's growth come from in the next year? What about over the next five? Which product lines are poised to quintuple in size? Are we investing enough in our infrastructure, or too much? How do our customers react to changes in prices, product selection, or delivery times? These are among the most important questions at Amazon today. The Topline Forecasting team in the Supply Chain Optimization Technologies (SCOT) group is looking for innovative, passionate and results-oriented Principal Economist to provide thought-leadership to help answer these questions. You will have an opportunity to own the long-run outlook for Amazon’s global consumer business and shape strategic decisions at the highest level. The successful candidate will be able to formalize problem definitions from ambiguous requirements, build econometric models using Amazon’s world-class data systems, and develop cutting-edge solutions for non-standard problems. Key job responsibilities - You understand the state-of-the-art in time series and econometric modeling. - You apply econometric tools and theory to solve business problems in a fast moving environment. - You excel at extracting insights and correct interpretations from data using advanced modeling techniques. - You communicate insights in a digestible manner to senior leaders in Finance and Operations within the company. - You are able to anticipate future business challenges and key questions, and have the ability to design modeling solutions to tackle them. - You have broad influence over the Topline team’s scientific research agenda and deliverables. - You contribute to the broader Econ research community in Amazon. - You advise other economists on scientific best-practices and raise the bar of research. - You will actively mentor other scientists and contribute to their career development. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA | New York, NY, USA
Senior Economist, CreST
US, NY, New York City
The Creator team’s mission is to make Amazon the Earth’s most desired destination for commerce creators and their content. We own the Associates and Influencer programs and brands across Amazon to ensure a cohesive experience, expand creators’ opportunities to earn through innovation, and launch experiences that reinforce feelings of achievement for creators. 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. In this role, you will be responsible for leading the design and development of causal estimation models, measuring the incremental impact of creator channel, and estimating the impact on sparse customer actions. You will work with various science, engineering, operations, and analytics teams to estimate models and algorithms, design pilots and measure their impact, and transform successful prototypes into improved policies and programs at scale. 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 • Perform causal analysis using experimental and observational study methods to evaluate the impact of business initiatives • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and implementation. • Develop and implement advanced econometrics, machine learning, or other mathematical methodologies to solve specific business problems • Coordinate research and analysis using unstructured and structured data and when necessary use scripting languages to clean and organize data • Communicate and coordinate effectively between tech teams and business stakeholders to implement data-driven strategies A day in the life In this role, you’ll utilize your econometric, data analytics and visualization, and creative and critical problem-solving skills to measure the causal impact of business initiatives. You will own the entire project lifecycle from design, test, implementation, to discrimination of findings. Conclusions and recommendations drawn from your experiments will influence critical business decisions, and inform future science initiatives. About the team Our team is dedicated to supporting new members. We have a broad mix of domain specialists (Economics, Data Science, Applied Science), experience levels, and tenures, and we’re building an environment that celebrates knowledge discovery, sharing, and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. We are open to hiring candidates to work out of one of the following locations: New York City, NY, USA | Seattle, WA, USA
Economist
US, WA, Seattle
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 ranging from Amazon Web Services, Kindle, Prime, inventory planning, international retail, third party merchants, search, pricing, labor and employment planning, effective benefits (health, retirement, etc.) and beyond. Amazon Economists build econometric models using our world class data systems and apply approaches from a variety of skillsets – applied macro/time series, applied micro, econometric theory, empirical IO, empirical health, labor, public economics and related fields are all highly valued skillsets at Amazon. You will work in a fast moving environment to solve business problems as a member of either a cross-functional team embedded within a business unit or a central science and economics organization. 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. We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Bellevue, WA, USA | Boston, MA, USA | Los Angeles, CA, USA | New York, NY, USA | San Francisco, CA, USA | Seattle, WA, USA | Sunnyvale, CA, USA
Economist
US, WA, Seattle
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 ranging from Amazon Web Services, Kindle, Prime, inventory planning, international retail, third party merchants, search, pricing, labor and employment planning, effective benefits (health, retirement, etc.) and beyond. Amazon Economists build econometric models using our world class data systems and apply approaches from a variety of skillsets – applied macro/time series, applied micro, econometric theory, empirical IO, empirical health, labor, public economics and related fields are all highly valued skillsets at Amazon. You will work in a fast moving environment to solve business problems as a member of either a cross-functional team embedded within a business unit or a central science and economics organization. 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. We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Bellevue, WA, USA | Boston, MA, USA | Los Angeles, CA, USA | New York, NY, USA | San Francisco, CA, USA | Seattle, WA, USA | Sunnyvale, CA, USA
Senior Economist
US, WA, Seattle
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 ranging from Amazon Web Services, Kindle, Prime, inventory planning, international retail, third party merchants, search, pricing, labor and employment planning, effective benefits (health, retirement, etc.) and beyond. Amazon Economists build econometric models using our world class data systems and apply approaches from a variety of skillsets – applied macro/time series, applied micro, econometric theory, empirical IO, empirical health, labor, public economics and related fields are all highly valued skillsets at Amazon. You will work in a fast moving environment to solve business problems as a member of either a cross-functional team embedded within a business unit or a central science and economics organization. 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. We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Bellevue, WA, USA | Boston, MA, USA | Los Angeles, CA, USA | New York, NY, USA | San Francisco, CA, USA | Seattle, WA, USA | Sunnyvale, CA, USA
Senior Economist
US, WA, Seattle
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 ranging from Amazon Web Services, Kindle, Prime, inventory planning, international retail, third party merchants, search, pricing, labor and employment planning, effective benefits (health, retirement, etc.) and beyond. Amazon Economists build econometric models using our world class data systems and apply approaches from a variety of skillsets – applied macro/time series, applied micro, econometric theory, empirical IO, empirical health, labor, public economics and related fields are all highly valued skillsets at Amazon. You will work in a fast moving environment to solve business problems as a member of either a cross-functional team embedded within a business unit or a central science and economics organization. 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. We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Bellevue, WA, USA | Boston, MA, USA | Los Angeles, CA, USA | New York, NY, USA | San Francisco, CA, USA | Seattle, WA, USA | Sunnyvale, CA, USA
Economist
US, WA, Seattle
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 in the Forecasting, Macroeconomics & Finance field document, interpret and forecast Amazon business dynamics. This track is well suited for economists adept at combining cutting edge times-series statistical methods with strong economic analysis and intuition. This track could be a good fit for candidates with research experience in: macroeconometrics and/or empirical macroeconomics; international macroeconomics; time-series econometrics; forecasting; financial econometrics and/or empirical finance; and the use of micro and panel data to improve and validate traditional aggregate models. Economists at Amazon are expected to work directly with our senior management and scientists from other fields on key business problems faced across Amazon, including retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations. The Forecasting, Macroeconomics & Finance field utilizes methods at the frontier of economics to develop formal models to understand the past and the present, predict the future, and identify relevant risks and opportunities. For example, we analyze the internal and external drivers of growth and profitability and how these drivers interact with the customer experience in the short, medium and long-term. We build econometric models of dynamic systems, using our world class data tools, formalizing problems using rigorous science to solve business issues and further delight customers. We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Bellevue, WA, USA | Boston, MA, USA | Los Angeles, CA, USA | New York, NY, USA | San Francisco, CA, USA | Seattle, WA, USA | Sunnyvale, CA, USA
Economist
US, WA, Seattle
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 in the Forecasting, Macroeconomics & Finance field document, interpret and forecast Amazon business dynamics. This track is well suited for economists adept at combining cutting edge times-series statistical methods with strong economic analysis and intuition. This track could be a good fit for candidates with research experience in: macroeconometrics and/or empirical macroeconomics; international macroeconomics; time-series econometrics; forecasting; financial econometrics and/or empirical finance; and the use of micro and panel data to improve and validate traditional aggregate models. Economists at Amazon are expected to work directly with our senior management and scientists from other fields on key business problems faced across Amazon, including retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations. The Forecasting, Macroeconomics & Finance field utilizes methods at the frontier of economics to develop formal models to understand the past and the present, predict the future, and identify relevant risks and opportunities. For example, we analyze the internal and external drivers of growth and profitability and how these drivers interact with the customer experience in the short, medium and long-term. We build econometric models of dynamic systems, using our world class data tools, formalizing problems using rigorous science to solve business issues and further delight customers. We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Bellevue, WA, USA | Boston, MA, USA | Los Angeles, CA, USA | New York, NY, USA | San Francisco, CA, USA | Seattle, WA, USA | Sunnyvale, CA, USA
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