January 7 - 9, 2022
Virtual

Overview

The AEA Annual Meeting is held each January to present papers on general economics topics. Some of the best minds in economics are assembled to network and celebrate new achievements in economic research. Economists from around the world take advantage of this unique opportunity to share, collaborate, and learn…all in one place.

The 2022 Annual Meeting will be held on January 7-9, 2022 (Friday, Saturday, Sunday). In light of the recent surge in hospitalizations due to COVID-19 and rapid spread of the Delta variant, the Association’s Executive Committee has decided that ASSA 2022 will be an all-virtual event.

Amazon will be conducting close to 200 virtual interviews during the conference. We hope attendees will continue to take advantage of the JOE Network for your job listings and letter writing, as well as the application module that includes a tool for scheduling interviews with applicants.

Nobelists.lead.jpeg
Credits: GENEVIEVE SHIFFRAR (Card); Stanford University (Imbens)
October 13, 2021
Amazon Scholar David Card wins half the award, while academic research consultant Guido Imbens shares in the other half.

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US, WA, Seattle
Job summaryDuring the stay-at-home order, how has your grocery shopping behavior changed? Have you tried various food delivery services to feed yourself and your loved ones? The pandemic has accelerated customers' adoption of online grocery shopping services like Amazon Fresh.My organization is looking to re-imagine the world of Grocery Supply Chain here at Amazon Fresh. Our vision is to enable any grocery operation in the world to fulfill omni-channel orders by providing them with an automated sales and operations planning (S&OP) solutions for their business. We are building automated software solutions that leverage machine learning to scale S&OP from 50 to 400+ omni-channel stores and warehouses globally. We are data-driven, build scalable and automated data pipelines which yield in accurate forecasting models to support the grocery business at Amazon.To succeed, we want economists like yourself to forge a path into the future by building models to help forecast demand (being in pandemic complicates things a little bit). 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. You have strong leadership qualities, great judgment, clear communication skills, and a track record of shipping great products.If this sounds intriguing, then we’d like to talk to you about a role on a new Amazon team that's tackling a set of problems requiring significant innovation and scaling.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
US, WA, Seattle
Job summarySenior Manager, Economics, Head of AWS Workforce Planning Research & ScienceAWS is looking for a seasoned leader to lead our Workforce Planning Research & Science function. Our Workforce Planning organization focuses on Strategic Design and Demand Planning of the AWS workforce. Our vision is the right person in the right place at the right time for the right cost, now and in the fullness of time. The Research & Science team owns the science behind all products, programs, and metrics related to workforce planning and key strategic initiatives across AWS. We come up with innovative ways to use econometrics, machine learning, and economic theory to improve the experience of AWS employees and to help the organization accelerate AWS’s growth. We are looking for a seasoned economist who is able to provide structure, including sourcing, defining, and leveling, around complex and varied business problems. We seek creative thinkers who can combine a strong economic toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas.Key job responsibilities• Manage and grow a high-performing economist/science team (including managers)• Identify and work with external and internal talent data-sets and develop ways to combine the two to answer important talent research questions• Work with AWS HR scientists and leadership to develop research roadmap; identify and pitch new opportunities to leadership that are suggested by the data• Suggest experiments and mechanisms to quantify the impact of policy changes on talent movement• Build state of the art models to predict employee headcount and movements across all Amazon businesses• Build models to understand drivers of promotion, attrition, transfers, and hires
US, WA, Seattle
Job summaryAmazon Prime is looking for a talented Economist to support analysis of increasingly complex business questions. At Amazon Prime, understanding customer data is paramount to our success in providing customers with relevant and enticing benefits such as fast free shipping, instant videos and music, in an expanding number of international marketplaces. At Amazon you will be working in one of the world's largest and most exciting big-data environments. The Economist role occupies a unique space at the intersection of technology, machine-learning, econometrics, large-scale scientific computing, social science, and product management. The Strategic Insights team is part of the broader Prime Machine Learning and Economics team, which is the core science team within Amazon Prime. We build audit mechanisms, create scalable strategic insights, and run model-driven simulations to ensure Prime remains one of the world’s most loved membership programs.As an Economist within the Strategic Insights team, you will work closely with a team of economists, applied scientists, and engineers, as well as our world-class business and software development teams to propose and estimate novel statistical and econometric models to directly inform strategic decisions about characteristics of the Amazon Prime membership. These include what membership prices, benefits, and benefit content deliver the most value for our customers around the world. The economist will solve these problems using causal inference, machine learning, time series and build on existing structural modeling. This position is unique in its exposure to senior members of the Prime team and other Amazon business units.The successful candidate will have demonstrated their own capacity for building, estimating, and defending causal statistical models using software such as R, Python, or STATA, with a willingness to learn causal inference and structural econometrics and creating production software. Knowledge of SQL, machine learning, and large-scale scientific computing using distributed computing infrastructures such as Spark-Scala or PySpark would be a plus. The candidate will be able to own end-to-end a research agenda in partnership with Product teams and will have to learn to invent and simplify in an ambiguous setting. The role will provide the opportunity to have a large strategic, world-wide impact on the customer experiences of Prime members.
GB, London
Job summaryThe EU Economics team is a central science team working across a variety of topics in the EU Retail 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 an 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· Design and implement version-zero (V0) models and experiments to kickstart new initiatives, thinking, and drive system-level changes across Amazon· Help 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
GB, London
The EU Economics team is a central science team working across a variety of topics in the EU Retail 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
US, WA, Seattle
Job summaryAmazon Web Services (AWS) is obsessed with ensuring the success of our customers. To this end, we want to better understand each type of customer we have and at what point in their Cloud journey they'd benefit from the different types of help AWS can provide. For whom is temporary credit more helpful than a discount? What are the returns to salesperson effort for a mature vs. a new AWS customer? What other customer features tell us that it's time to reach out and build a relationship?We're looking for someone with a background in program/policy evaluation. ML skills are a huge plus here, as you'll be working to find new patterns/clusters in large datasets.Basic Qualification· PhD in Economics or a related field· Three years of work experience in the private sector· Strong proficiency in at least one of the following statistical software packages: Python, R, Stata, or MatlabPreferred Qualifications· Strong background in econometrics (e.g., forecasting, time series, panel data, program evaluation, and/or high dimensional problems), probability and statistics, economic theory, and quantitative methods· Strong empirical research track record in applied macroeconomics, econometrics, finance, labor economics, public economics, industrial organization, or a related field· Proven experience with the design and development of machine learning solutionsDemonstrated ability to design solutions to real world business questions.· Strong verbal and written communication skills (e.g., ability to write and present narratives to different levels of leadership).Ability to work in a very fast-paced business environment· Experience with programming languages such as Python, Java, C++, Ruby, and /or Big Data processing platforms such Hadoop, Map Reduce, Spark is a plus.· Ability to work in a fast-paced business environment· Experience with Enterprise Sales data (e.g., SFDC)Job Locations: Seattle, WA, Dallas, TX, Boston, MA, Arlington, VAKey job responsibilitiesFind heterogeneous treatment effects to help the business prioritize interventions, use large and small sample methods for causal inference.About the teamWe're a team of economists, engineers, data scientists and research scientists who are responsible for using data to help maximize the productivity of the thousands of AWS sales reps working to grow the business. We mostly build prototypes and write white papers, but as our products become successful and adopted we move them to production as well.
US, WA, Seattle
Job summaryThe AWS Infrastructure Planning group is responsible for planning and coordinating a complex, multi-tier supply chain that delivers capacity for all AWS services. We are responsible for ensuring that the AWS cloud remains elastic for its customers by taking care of all of the back-end complexity, enabling our infrastructure to stay ahead of our rapid growth.Our team is looking for a motivated PhD Economist who can (1) use economic theories to structure ambiguous problems; (2) assess and interpret empirical relationships using large data sets; and (3) design long-term causal estimation models that scale. As part of the Applied Research team, you’ll partner closely with software development engineers and product managers with a clear path to business impact. Working alongside applied and research scientists in the team, you’ll leverage your expertise to develop new machine learning techniques and develop statistical models for demand forecasting at different levels of aggregation, lead time and supply predictions, order promising and supply chain risk detection.Beyond training in economics, successful candidates will have a deep knowledge of statistical and machine learning methods, the ability to map models into scalable production systems, the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers, and the ability to take an iterative approach to tackle big, long term problems.Key job responsibilities· Understand business requirements and existing challenges and map them to the right scientific solution.· Research, prototype, experiment, implement and launch machine learning models to solve problems that matter to our customers.· Lead project plans from a scientific perspective by managing product features, technical risks, milestones and launch plans· Create, enhance, and maintain technical documentation, and present to other Scientists, Product, and Engineering teams.· Develop the right set of metrics to evaluate efficiency/accuracy of the algorithms.About the teamThe AWS Infrastructure Supply Chain Technology Applied Research team drives technological advances and develops machine learning, optimization and simulation products to address complex challenges in the AWS Infrastructure supply chain.We sit at the intersection of science and engineering, and innovate on behalf of customers to solve ambiguous problems that haven’t quite been fully articulated or even anticipated.
US, NY, New York
Job summaryAmazon Advertising seeks an Economist to help develop an automated financial forecasting system for our DSP advertising business, and help model key relationships that drive advertiser value and impact our financial performance. We are looking for a motivated candidate who has operated successfully in a fast-paced, global, results-oriented environment and has the ability to influence the decisions of senior business leaders through effective verbal and written communication, logical reasoning, and the presentation of analyses. The successful candidate will collaborate closely with business teams to help execute and shape our product and financial strategy.If you enjoy using Econometric methods to shape strategy and build new initiatives from concept to full-scale operations this will be a good match. We are looking for a highly motivated individual to develop deep industry understanding, create new models gaining insight into advertising performance, analyze monetization strategies to maximize revenue, and provide guidance for feature roadmap prioritization and decision-making. This position will collaborate with business leaders on a daily basis and will be contributing to overall financial modeling and analysis during our operating cycle plans, periodic forecast updates, requirements planning, business reviews, and providing business insights into key initiatives.The successful candidate will be a self-starter who is comfortable with ambiguity; dives deep into data to find key relationships, creates models to better understand and forecast processes, is detail oriented and has the ability to work well with cross-functional teams including product development, science, sales, other finance teams, and senior leaders.
US, WA, Seattle
Job summaryAmazon Advertising seeks an Economist to help develop an automated financial forecasting system for our DSP advertising business, and help model key relationships that drive advertiser value and impact our financial performance. We are looking for a motivated candidate who has operated successfully in a fast-paced, global, results-oriented environment and has the ability to influence the decisions of senior business leaders through effective verbal and written communication, logical reasoning, and the presentation of analyses. The successful candidate will collaborate closely with business teams to help execute and shape our product and financial strategy.If you enjoy using Econometric methods to shape strategy and build new initiatives from concept to full-scale operations this will be a good match. We are looking for a highly motivated individual to develop deep industry understanding, create new models gaining insight into advertising performance, analyze monetization strategies to maximize revenue, and provide guidance for feature roadmap prioritization and decision-making. This position will collaborate with business leaders on a daily basis and will be contributing to overall financial modeling and analysis during our operating cycle plans, periodic forecast updates, requirements planning, business reviews, and providing business insights into key initiatives.The successful candidate will be a self-starter who is comfortable with ambiguity; dives deep into data to find key relationships, creates models to better understand and forecast processes, is detail oriented and has the ability to work well with cross-functional teams including product development, science, sales, other finance teams, and senior leaders.
US, CA, Santa Monica
Job summaryAmazon Advertising seeks an Economist to help develop an automated financial forecasting system for our DSP advertising business, and help model key relationships that drive advertiser value and impact our financial performance. We are looking for a motivated candidate who has operated successfully in a fast-paced, global, results-oriented environment and has the ability to influence the decisions of senior business leaders through effective verbal and written communication, logical reasoning, and the presentation of analyses. The successful candidate will collaborate closely with business teams to help execute and shape our product and financial strategy.If you enjoy using Econometric methods to shape strategy and build new initiatives from concept to full-scale operations this will be a good match. We are looking for a highly motivated individual to develop deep industry understanding, create new models gaining insight into advertising performance, analyze monetization strategies to maximize revenue, and provide guidance for feature roadmap prioritization and decision-making. This position will collaborate with business leaders on a daily basis and will be contributing to overall financial modeling and analysis during our operating cycle plans, periodic forecast updates, requirements planning, business reviews, and providing business insights into key initiatives.The successful candidate will be a self-starter who is comfortable with ambiguity; dives deep into data to find key relationships, creates models to better understand and forecast processes, is detail oriented and has the ability to work well with cross-functional teams including product development, science, sales, other finance teams, and senior leaders.About the teamThis role is open to the following locations: Los Angeles, Seattle, San Francisco, Washington DC/Arlington, VA.
US, WA, Seattle
Job summaryThe F3 (Fresh, Food, Fast) organization enables customers to buy fresh groceries, household essentials, and most popular products from Amazon.com. Our business is global and we lead the innovation in ultra-fast grocery delivery and physical stores experience (Just Walk Out technology) to delight customers more than ever before. As our business is rapidly scaling up, we need to continue developing and improving scalable economic and science solutions to support business growth and better customer experience.We are looking for an economist manager to build a team of scientist and determine the long-term vision for how we set prices in F3. In this cross-functional role, you will partner and work closely with SDEs, business stakeholders, finance, BIEs, and product managers to determine and execute on optimal pricing online and in stores. As a thought leader, you will clearly communicate your vision, models, and results to influence a variety of senior stakeholders. You and your team will apply a battery of economic (demand estimation, casual inference, time series forecasting, etc.) and ML (prediction, outlier detection, cluster analysis, NLP/NLU, etc.) methods. You will own the whole cycle of model development including ideation, prototyping, validation, experimentation, and integrating models into production systems while working with a dedicated team of SDEs.Key job responsibilities· Lead strategic vision for product pricing, define roadmaps, and write PRFAQs, while balancing multiple business objectives.· Build, manage, and coach a high-performing team of economists and scientists; review and audit modeling processes and results.· Set team priorities and help the team to choose the right science methods while balancing delivering high impact with raising the science bar at Amazon.· Lead global complex product launches from a scientific perspective including identifying key milestones, potential risks, and paths to mitigate risks.· Partner and work closely with a dedicated team of engineers to put scientific solutions in a production system.· Write technical and business-facing documents to clearly explain complex technical concepts to audiences with diverse business/scientific backgrounds.
US, WA, Seattle
Job summaryThe F3 (Fresh, Food, Fast) organization enables customers to buy fresh groceries, household essentials, and most popular products from Amazon.com. Our business is global and we lead the innovation in ultra-fast grocery delivery and physical stores experience (Just Walk Out technology) to delight customers more than ever before. As our business is rapidly scaling up, we need to continue developing and improving scalable economic and science solutions to support business growth and better customer experience.We are looking for a Senior Economist to determine the long-term vision for how we set prices in F3. In this cross-functional role, you will partner and work closely with SDEs, business stakeholders, finance, BIEs, and product managers to determine and execute on optimal pricing online and in stores. As a thought leader, you will clearly communicate your vision, models, and results to influence a variety of senior stakeholders. You and your team will apply a battery of economic (demand estimation, casual inference, time series forecasting, etc.) and ML (prediction, outlier detection, cluster analysis, NLP/NLU, etc.) methods. You will own the whole cycle of model development including ideation, prototyping, validation, experimentation, and integrating models into production systems while working with a dedicated team of SDEs.Key job responsibilities· Lead strategic vision for product pricing, define roadmaps, and write PRFAQs, while balancing multiple business objectives.· Provide feedback to other team scientists working on pricing; review and audit modeling processes and results.· Set team priorities and help the team to choose the right science methods while balancing delivering high impact with raising the science bar at Amazon.· Lead global complex product launches from a scientific perspective including identifying key milestones, potential risks, and paths to mitigate risks.· Partner and work closely with a dedicated team of engineers to put scientific solutions in a production system.· Write technical and business-facing documents to clearly explain complex technical concepts to audiences with diverse business/scientific backgrounds.
US, WA, Seattle
Job summaryAmazon Prime is looking for a talented Senior Economist Manager to help manage our ever growing information needs and support analysis of increasingly complex business questions. At Amazon Prime, understanding customer data is paramount to our success in providing customers with relevant and enticing benefits such as fast free shipping, instant videos and music, in an expanding number of international marketplaces. At Amazon you will be working in one of the world's largest and most exciting big-data environments. The Senior Economist Manager role occupies a unique space at the intersection of technology, machine-learning, econometrics, large-scale scientific computing, social science, and product management.As a Senior Economist Manager within Amazon Prime, you will manage a team of economists, applied scientists, and engineers, working closely with our world-class business and software development teams to propose and estimate novel statistical and econometric models to directly inform strategic decisions about characteristics of the Amazon Prime membership. These include what membership prices, benefits, and benefit content deliver the most value for our customers around the world. Your team will solve these problems using structural econometrics, causal inference, machine learning, and massively parallelized scientific computing, and work closely with our software development team to automate these models at scale in distributed computing infrastructures such as Apache Spark. This position is unique in its exposure to senior members of the Prime team and other Amazon business units.The successful candidate will have demonstrated their own capacity for building, estimating, and defending causal statistical models using software such as R, Python, or STATA, with a willingness to learn causal inference and structural econometrics and creating production software. Knowledge of SQL, machine learning, and large-scale scientific computing using distributed computing infrastructures such as Spark-Scala or PySpark would be a plus. Additionally, this candidate will show a track record of managing others to perform these tasks, creating a strategic vision for teams and managing team workflows, at-scale and on time. The role will provide the opportunity to have a large strategic, world-wide impact on the customer experiences of Prime members.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, visit https://www.amazon.jobs/en/disability/us
US, Virtual
Job summaryAmazon Care is seeking a talented Economist to apply expertise in economic thinking and theory to key business problems faced in healthcare delivery, patient access, cost and ROI performance, and reaching positive per unit economics at scale. You will work directly with a cross-functional team comprised of clinical, operations, and care delivery members. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment and inform future and strategic direction. You will use those models and data to determine the best way to deliver efficient, cost-effective services. At Amazon Care, we are a passionate team working to build a best-in-class healthcare product designed to make high-quality healthcare easy to access.The ideal candidate will be able to: (1) use economic theories to structure ambiguous problems; (2) assess and interpret empirical relationships using large data sets; and (3) design long-term causal estimation models with scalability.Key job responsibilities· Work with Clinical Operations, Capacity Planning, Product, Finance, Data Science, and others across Amazon Care to deliver data-driven insights to efficiently and cost effectively deliver care.· Influence key business decisions in potentially adjusting staffing models, shift structures, care delivery organization, vendor makeup, and balancing cost vs ROI to improve Amazon Care’s at scale economics.· Partner with Operations and Finance teams to build models and decision frameworks related to Care’s unique business problems.· Own the development of economic models and manage the data analysis, modeling, and experimentation necessary to validate your model.· Effectively communicate econometric models to business teams and incorporate feedback into project analysis/modeling.A day in the lifeInclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.
US, CA, Irvine
Job summaryDo you have a passion for diving deep to uncover key insights that drive critical business decisions? If yes, the Customer Behavior Cross Channel Optimization (CBA-XO) team is looking for somebody with your enthusiasm and skills to work as part of the team. We are looking for an economist who is curious, driven, and passionate about marketing insights and analytics. If you are looking for a role where you can make a major impact, we want to meet you.The 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. CBA-XO’s mission is to make Amazon’s marketing the most measurably effective in the world. Our long-term objective is to measure the incremental impact of all Amazon’s marketing investments on consumer perceptions, actions, and sales. This requires measuring Amazon’s marketing comparably and consistently across channels, business teams and countries using a comprehensive approach that integrates all Paid, Owned and Earned marketing activity. As the experts on marketing performance, we will lead the Amazon worldwide marketing community by providing critical cross-country insights that can power marketing best practices and tenets globally.This role will work closely with other scientists and engineers to develop and run statistical models to understand customer behavior and how customers respond to Amazon’s marketing. You will collaborate build modeling solutions, partner with software developers and data engineers to build end-to-end data pipelines and production code, and have exposure to senior leadership as we communicate results and provide scientific guidance to the business. You will analyze large amounts of business data, automate, and scale the analysis, and develop metrics that will enable us to continually delight our customers worldwide.As a successful economist, you are an analytical problem solver who enjoys diving into data, is excited about investigations and algorithms, can multi-task, and can credibly interface between technical teams and business stakeholders. How have deep expertise in research design and causal analysis. Your analytical abilities, business understanding, and technical savvy will be used to identify specific and actionable opportunities to solve existing business problems and look around corners for future opportunities.Responsibilities Include:· Build statistical models and tools using technical knowledge in causal inference, machine learning, statistical modeling, and other quantitative techniques.· Understand the business reality behind large sets of data and develop meaningful analytic solutions.· Innovate by adapting to new modeling techniques and procedures.· Utilizing code (Python, R, etc.) for analyzing data and building statistical models to solve specific business problems· Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters· Collaborate with researchers, software developers, and business leaders to define product requirements and provide analytical support· Communicating verbally and in writing to business customers and leadership team with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendations
US, VA, Arlington
Job summaryAmazon Prime is looking for a talented Senior Economist Manager to help manage a team of scientists and engineers dedicated to understanding Prime customer behavior, especially across Prime's growing list of international marketplaces. As part of Amazon Prime, you will be working in one of the world's largest and most exciting big-data environments. The Senior Economist Manager role occupies a unique space at the intersection of technology, machine-learning, econometrics, large-scale scientific computing, social science, and product management.As a Senior Economist Manager within Amazon Prime, you will manage a team of economists, applied scientists, and engineers, working closely with our world-class business and software development teams. You will propose and estimate novel statistical and econometric models to directly inform strategic decisions about characteristics of the Amazon Prime membership. These include what membership prices, benefits, and benefit content deliver the most value for our customers around the world. Since customer preferences within emerging marketplaces may be very different than those within established ones, your team will rely heavily on randomized control trials. The team will also utilize structural econometrics, causal inference, machine learning, and massively parallelized scientific computing. These tools will operate on modern distributed computing infrastructures such as Apache Spark. Additionally, this position is unique in its exposure to senior leaders of the Prime team and other Amazon business units.The successful candidate will have demonstrated their own capacity for building, estimating, and defending causal statistical models using software such as R, Python, or STATA, with a willingness to learn a broad set of tools from causal inference and structural econometrics, as well as how to create software. Knowledge of SQL, machine learning, and large-scale scientific computing using distributed computing infrastructures such as Spark-Scala or PySpark would be a plus. Additionally, this candidate will show a track record of managing others to perform these tasks, creating a strategic vision for teams and managing team workflows, at-scale and on time. The role will provide the opportunity to have a large strategic, world-wide impact on the customer experiences of Prime members.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, visit https://www.amazon.jobs/en/disability/us
US, NY, New York
Job summaryAmazon.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.Economists at Amazon will be expected to work directly with 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.Key job responsibilitiesDrive large scale projects, such as building a scalable solution; mentor junior economists on the team; influence non-economists or external scientists and economists;
US, AZ, Tempe
Amazon is looking for a motivated and innovative economist with strong analytical skills and practical experience to join our Global Mile Engineering and Science team, part of our Global Logistics Services Organization.Global Mile's Imports space represents one of the fastest growing logistics areas within Amazon. Our team, Starcatcher, is charged with developing the data engineering and science strategy for operational visibility and volume forecasting for the international imports leg of Amazon's supply chain world-wide.The Starcatcher team is looking for an experienced economist specializing in time series machine learning, whom has experience with compositional time series modelling techniques, to design and drive forecasting improvements for our short-range and long-range forecast models. As an economist, you will work with a team of data scientists, data engineers, and business intelligence engineers partnering with product and program managers across operations and finance to optimize operational execution and business planning initiatives.A successful candidate will be able to work autonomously, provide clear communication, and have the ability to influence their peers and stake holders, while building solutions which are robust enough to maintain high standards of accuracy, yet flexible enough to scale with the growing size and complexity of our Global Logistics operations all over the world.
US, VA, Arlington
Job summaryThe People eXperience and Technology Central Science Team (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.We are looking for economists who are able to work with business partners to hone complex problems into specific, scientific questions, and test those questions to generate insights. The ideal candidate will work with engineers and computer scientists to estimate models and algorithms on large scale data, design pilots and measure their impact, and transform successful prototypes into improved policies and programs at scale. We are looking for creative thinkers who can combine a strong technical economic toolbox with a desire to learn from other disciplines, and who know how to execute and deliver on big ideas as part of an interdisciplinary technical team.Ideal candidates will work closely with business partners to develop science that solves the most important business challenges. They will work in a team setting with individuals from diverse disciplines and backgrounds. They will serve as an ambassador for science and a scientific resource for business teams, so that scientific processes permeate throughout the HR organization to the benefit of Amazonians and Amazon. Ideal candidates will own the data analysis, modeling, and experimentation that is necessary for estimating and validating models. They will work closely with engineering teams to develop scalable data resources to support rapid insights, and take successful models and findings into production as new products and services. They will be customer-centric and will communicate scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions.Key job responsibilitiesUse causal inference methods to evaluate the impact of policies on employee outcomes. Examine how external labor market and economic conditions impact Amazon's ability to hire and retain talent. Use scientifically rigorous methods to develop and recommend career paths for employees.A day in the lifeWork with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions, writing code to implement a DID analysis or estimate a structural model, or writing and presenting a document with findings to business leaders. Our economists also collaborate with partner teams throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions.About the teamWe are a multidisciplinary team that combines the talents of science and engineering to develop innovative solutions to make Amazon Earth's Best Employer.
US, VA, Arlington
Job summaryThe People eXperience and Technology Central Science Team (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.We are looking for economists who are able to apply economic methods to address business problems. The ideal candidate will work with engineers and computer scientists to estimate models and algorithms on large scale data, design pilots and measure their impact, and transform successful prototypes into improved policies and programs at scale. We are looking for creative thinkers who can combine a strong technical economic toolbox with a desire to learn from other disciplines, and who know how to execute and deliver on big ideas as part of an interdisciplinary technical team.Ideal candidates will work in a team setting with individuals from diverse disciplines and backgrounds. They will work with teammates to develop scientific models and conduct the data analysis, modeling, and experimentation that is necessary for estimating and validating models. They will work closely with engineering teams to develop scalable data resources to support rapid insights, and take successful models and findings into production as new products and services. They will be customer-centric and will communicate scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions.Key job responsibilitiesUse causal inference methods to evaluate the impact of policies on employee outcomes. Examine how external labor market and economic conditions impact Amazon's ability to hire and retain talent. Use scientifically rigorous methods to develop and recommend career paths for employees.A day in the lifeWork with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions, writing code to implement a DID analysis or estimate a structural model, or writing and presenting a document with findings to business leaders. Our economists also collaborate with partner teams throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions.About the teamWe are a multidisciplinary team that combines the talents of science and engineering to develop innovative solutions to make Amazon Earth's Best Employer.