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Matt Taddy
Credit: Alexandra Tatarzyn
December 05, 2019
Matt Taddy, the chief economist for Amazon’s North America Consumer organization, talks about his recent book, and explains why economists should consider pursuing a career at the company.

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US, WA, Seattle
Amazon.com Services LLC (f/k/a Amazon.com Services, Inc.)-Seattle, WA-Multiple Positions Available1. Work directly with the chief economist and senior management on keybusiness problems faced in retail, international retail, cloud computing,third party merchants, search, Kindle, streaming video, and operations.2. Apply the frontier of economic thinking to market design, pricing,forecasting, program evaluation, online advertising and other areas. Build econometric models using data systems.3. Apply economic theory to solve business problems.4. Develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems.5. Apply tools from applied micro-econometrics (e.g. experimental design, difference-in-difference, regression discontinuity, and IV) and forecasting (essential time series models).6. Leverage big data tools for data extraction.7. Write up and present analysis for distribution to various levels ofmanagement at Amazon8. Some percentage of telecommuting benefits is available.#0000
US, WA, Seattle
The Amazon Economics Team is hiring Interns in Economics. 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 Stata or R is necessary, and experience with SQL, UNIX, and Sawtooth 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 placement.Roughly 50% of research assistants from previous cohorts have converted to full time data science or economics employment at Amazon. If you are interested, send your CV, transcripts, and a cover letter to our mailing list at econ-internship@amazon.com.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
US, WA, Seattle
Amazon Prime is looking for a talented Economist 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 the US as well as 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.As an Economist within Amazon Prime, you will work with our world-class business, economics, data science and engineering, 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, including what membership prices, benefits, and benefit content deliver the most value for our customers around the world. You 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 be familiar and comfortable with 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 experience creating production systems. 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, the candidate will need to demonstrate the ability to communicate complicated concepts clearly to business leaders and other scientists, the desire to develop large business impacts for customers using statistics and econometrics, and strong execution and completion skills for major, highly-visible strategic projects under fast-paced business deadlines. The role involves both building data products, i.e. automated and productionized statistical models at scale, as well as supporting ad-hoc strategic decisions.
US, WA, Seattle
The DAC Econ Video team is looking for an economist to support strategic projects in the Amazon Video business. Amazon Video provides value to our customers as both a key Prime membership benefit and separately as a retail outlet for digital downloads and streams of top TV and Movie titles.As an economist in DAC Econ focusing on Amazon Video, you will be responsible for understanding the value that the business creates for our customers and for Amazon’s extensive ecosystem. This role requires an individual with strong quantitative modeling skills and the ability to apply statistical/machine learning, econometric, and experimental design methods to large amount of individual level data. The candidate should have strong communication skills, be able to work closely with stakeholders and translate data-driven findings into actionable insights. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail and ability to work in a fast-paced and ever-changing environment.The candidate's responsibilities will include:· Build scalable analytic solutions using state of the art tools based on large datasets· Build econometric models, conduct statistical/machine learning analyses, or design experiments to measure the value of the business and its many features· Partner closely with Business, Finance, Science, and Tech partners to implement production solutions· Independently identify new opportunities for leveraging economic insights and models in the Video business· Write both technical white papers and business-facing documents to clearly explain complex technical concepts
US, WA, Seattle
Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.Amazon's Global Advertising Partner Development Group, part of Amazon's Self Service Performance Advertising is looking for a PhD economist. We are looking for a bright, driven Economist to work with vast amounts of exceptionally rich data, and develop economic models that drive the types of strategic decisions which define the future of the company. The ideal candidate will be a thought leader in understanding the effect of customers' preferences and behavior with Amazon on the value of products and services. The economist will focus on the application of econometric methods to build effective tools and systems for optimizing business decisions at scale. We work in close coordination with senior leaders and other analytics and scientists teams. It is an exciting, fast-paced, and challenging environment where you get to learn from other experienced scientists and apply econometrics at massive scale.
US, WA, Seattle
Work at the intersection of economics, and data science.Amazon's digital economics team is looking for an Economist to help and be part of a team to put cutting edge economic and data science advertising research into production. We are looking for a unique individual who is interested in bigger picture strategic thinking but with the passion for big data.This team is responsible for modeling customer behavior in relation to advertising using state of the art econometrics and machine learning as well as sizing and running experiments. This role requires presenting results to some of the most senior leaders of the company.If you have a background in economics, mathematics, or statistics and have always experience building and mentoring science teams, this is the job for you.About Amazon's advertising business:Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.Sponsored Products helps merchants, retail vendors, and brand owners succeed via native advertising that grows incremental sales of their products sold through Amazon. The Sponsored Products Ad Marketplace team optimizes the systems and ad placements to match demand with supply using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. Our goals are to help buyers discover new products they love, be the most efficient way for Advertisers to meet their business objectives and continue to build a big, sustainable business that helps Amazon continuously innovate on behalf of all customers.The candidate's responsibilities will include:· Build scalable analytic solutions using state of the art tools based on large datasets· Build econometric models, conduct statistical/machine learning analyses, or design experiments to measure the value of the business and its many features· Partner closely with Business, Finance, Science, and Tech partners to build prototypes and implement production solutions· Independently identify new opportunities for leveraging economic insights and models in the Advertising business· Develop and execute product workplans from concept, prototype to production incorporating feedback from customers, scientists and business leaders· Write both technical white papers and business-facing documents to clearly explain complex technical concepts to audiences with diverse business/scientific backgrounds
US, WA, Seattle
Are you interested in working on state-of-the-art economic and econometric modeling problems in inventory placement, marketplace optimization, network design and fulfillment?The Inventory Planning and Control (IPC) Science team is a team of scientists, and economists and is responsible for the optimization of Amazon's current supply chain, designing systems for marketplace optimization, predictive modeling of inventory and in designing future supply-chain networks.We are looking for motivated economists with strong analytical skills who desire to work at the intersection of economics, machine learning and operations research. Applications include synthetic controls used to evaluate intervention in comparative case studies as well modeling for adaptive systems for buying and pricing, seller economic modeling, real-time supply-chain control and dynamic resource management systems design.The ideal candidate is a motivated individual with strong skills in building robust, stochastic modeling systems for applications suited to their strong machine learning background including classification, synthetic controls, and marketplace dynamical systems.As a Senior Economist you will solve complex problems and partner with other scientists to design the next generation of algorithms to drive the optimization of Amazon’s Supply Chain. You will continue to contribute to the research community, by working with economists and scientists across Amazon, as well as collaborating with academic researchers and publishing papers (www.aboutamazon.com/research).What you'll do:· Designing and implementing new features and machine learned models, including the application of state-of-art models in support of buying, pricing and inventory placement and selection.· Conducting and coordinating process development leading to improved and streamlined processes for model development.· Working closely with Product Managers to expand depth of our product insights with data, create a variety of experiments, and determine the highest-impact projects to include in planning roadmaps· Providing technical and scientific guidance to your team members· Communicating effectively with senior management as well as with colleagues from science, engineering, and business backgrounds· Build and validate prototypes to demonstrate the benefits from proposed changes to the decision systems and operations.To help describe some of our challenges, we created a short video about Supply Chain Optimization at Amazon - http://bit.ly/amazon-scotAmazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age
US, WA, Seattle
Every decision about the Amazon's website and app affect the speed and reliability with which customers can browse and buy. Given this, how can we improve the customer experience by tailoring what we display on our pages based on performance? What types of performance matter the most to customers? How would the customer want us to trade-off performance and features? What is the relationship between the performance of the site to what the customer actually does on the site vs., what they actually buy? How do we do all of this without asking the customer a single question? Sounds fun?The Amazon Latency and Performance team's mission is to "ensure customers are never frustrated by the performance of the Amazon Retail website and application". Our team strives to improve latency and performance of our retail site while better understanding how customers shop on Amazon. We build models to improve and explain the impact of performance on the shopping experience. You will work on extremely interesting problems in an environment where you get to learn from other experienced economists, applied scientists and software engineers to apply econometrics on a massive scale.Using Amazon’s large-scale computing resources, you will ask research questions about customer behavior, build models to generate recommendations, and work with engineers to implement these models to run the retail website. You will apply economic theory to solve challenging business problems in a fast moving environment using world-class data and data systems. You will have an enormous opportunity to make an impact on the design, architecture, and implementation of cutting edge products used every day by people you know. Economists at Amazon are expected to develop new techniques to obtain insights from large data sets, address quantitative problems, and contribute to the design of automated systems. If you would love to build, invent and pioneer on a high performance team that's passionate about operational excellence, then we want to talk to you.
US, WA, Seattle
Prime Video is an industry leading, high-growth business and a critical driver of Amazon Prime subscriptions, which contributes to customer loyalty and lifetime value. Prime Video is a digital video streaming and download service that offers Amazon customers the ability to rent, purchase or subscribe to a huge catalog of videos. The Prime Video and Music Economist team is looking for a Senior Economist to support strategic projects in the Amazon Video business. Amazon Video provides value to our customers as both a key Prime membership benefit and separately as a retail outlet for digital downloads and streams of top TV and Movie titles.As an economist focusing on Amazon Video, you will be responsible for understanding the value that the business creates for our customers and to develop new, disruptive innovations to grow global Prime Video usage and customer value. This role requires an individual with strong quantitative modeling skills and the ability to apply statistical/machine learning, econometric, and experimental design methods to large amount of individual level data. The candidate should have strong communication skills, be able to work closely with stakeholders and translate data-driven findings into actionable insights. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail and ability to work in a fast-paced and ever-changing environment.The candidate's responsibilities will include:· Build scalable analytic solutions using state of the art tools based on large datasets· Build econometric models, conduct statistical/machine learning analyses, or design experiments to measure the value of the business and its many features· Partner closely with Business, Finance, Science, and Tech partners to build prototypes and implement production solutions· Independently identify new opportunities for leveraging economic insights and models in the Video business· Develop and execute product workplans from concept, prototype to production incorporating feedback from customers, scientists and business leaders· Write both technical white papers and business-facing documents to clearly explain complex technical concepts to audiences with diverse business/scientific backgrounds
US, WA, Seattle
Amazon Web Services (AWS) is a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of enterprise, government and start-up business and organizations in over 190 countries around the world. Launched in 2006, Amazon Web Services officially began offering developer customers access to web services – now widely known as cloud computing – based on Amazon’s own back-end technology platform.We are seeking an analytical and technically skilled Economist to join our analytics team within the Business, Technology, and Solutions (BTS) group. Economists at Amazon will be expected to work directly with other economists and senior management on key business problems. The candidate will conduct analysis and experiments to drive deeper understand of the AWS business and make recommendations to optimize business decisions.The successful candidate will be a self-starter, entrepreneurial, comfortable with ambiguity, strong technical acumen, an ability to work in a fast-paced and ever-changing environment. You should also have strong written and verbal communication skills and ability to work effectively with cross-functional teams. 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.
US, WA, Seattle
Amazon Operations Finance is seeking an Economist for our WW Delivery and Fulfillment spaces. Operations is at the forefront of the Supply Chain evolution, integrating complete end-to-end solutions from inbound, storage, fulfillment and 1-day delivery. With a business of our scale and growth trajectory, you will help answer complex business problems that can shape our future.In collaboration with data scientists and engineers, you will build applied micro econometric models using our world class data systems, and apply economic theory to solve business problems and improve decision science. You will work with business partners to communicate the intuition, implication and detail of your analysis/modeling and be able to incorporate their feedback into your projects.We are looking for 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. Economists at Amazon are expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.Other specific tasks:· Build econometric and machine learning models to answer challenging, impactful questions.· Partner with other scientists in Operations, Finance and Amazon to develop scalable solutions to economics problems.· Dig deep problems facing last mile delivery to improve decisions science for large scale issue, such as cost impacts of shipping speeds or placement.· Design models to improve fulfillment center cost efficiency.· Work with with machine learning scientists to estimate and validate their models on large scale data.
US, WA, Seattle
Amazon Prime is looking for a talented Economist 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 the US as well as 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.As an Economist within Amazon Prime, you will work with our world-class business, economics, data science and engineering, 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, including what membership prices, benefits, and benefit content deliver the most value for our customers around the world. You 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 be familiar and comfortable with 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 experience creating production systems. 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, the candidate will need to demonstrate the ability to communicate complicated concepts clearly to business leaders and other scientists, the desire to develop large business impacts for customers using statistics and econometrics, and strong execution and completion skills for major, highly-visible strategic projects under fast-paced business deadlines. The role involves both building data products, i.e. automated and productionized statistical models at scale, as well as supporting ad-hoc strategic decisions.
US, WA, Seattle
Amazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.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.
US, WA, Seattle
The Cross Category and Cross Channel Marketing (XCM) Insights team is looking for an analytical and technically skilled economist to join our team. This position will be responsible for developing and supporting best-in-class modeling methodologies and supporting techniques to answer ambiguous business questions. The Economist needs apply the methodologies to various data sources to address the objective business questions. Often of the time, the economists need to merge various data from across the team together. The Economists need to model variations related with advertising, perception, and customers’ shopping behavior. Upon completion of statistical analysis, the Economist draws insights and produces reports by translating technical framework to business-oriented recommendations.This role requires an individual with excellent analytical abilities as well as outstanding business acumen. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, vocally self-critical, an ability to work in a fast-paced and ever-changing environment. He/She recognizes that the true measure of the success of the work product is based on the business impact the findings have had.Responsibilities include:· Developing econometric or machine learning models for ad hoc requests, projects and on-going measurements, and increasing efficiency by operationalizing data feeds from various data sources· Identifying the right data sources and linking them together to address ambiguous business questions· Using large datasets or experiments to make causal inferences or predictions· Providing technical supports for designing and measuring randomized experiments· Designing research, analysis, and modeling plans· Interpreting data, writing reports, and making actionable recommendations· Supporting consumer research projects both in the US and Internationally; these may be either primary research or secondary data projects· Keys to success in this role include exceptional analytics, statistics, judgment, and communication skills. The candidate will need to be able to extract insights from data and be able to clearly communicate appropriate triggers and actions
US, WA, Seattle
Customer Trust and Partner Support (CTPS) builds trust with our Customers and Partners; scales through technology, analytics, and science; and serves as a Center of Excellence for Amazon. Our team’s mission is to provide Buyers a perfect and authentic order experience so that they can shop with confidence. We are seeking an Economist to play a key role in product quality related risk detection, and enforcement policy optimization.The Economist will work closely with Scientists, Engineers and Product Managers to build econometric and ML models, plug them into our systems, and use them to prevent defects, understand the value of our programs and optimize our policies. They will design and conduct all phase of research of projects, from defining key research questions, aligning stakeholder requirements, designing and executing appropriate solutions, to communicating and implementing the model in our pipeline.Key Responsibilities:· Build econometric models or design experiments to estimate the impact of various policies on key business metrics to improve decision quality.· Develop and deploy ML models to catch bad actors and improve product quality on Amazon.· Leverage multiple data sources (internal data, survey data, etc) together to drive business insights.· Work closely with stakeholders to define key business needs, and to design and deliver appropriate research solutions.· Influencing key business decisions in how best to positively affect Customer experience through diverse stakeholder groups.· Extract data for analysis and model development from large, complex data sets.A successful candidate will have strong casual and predictive modelling capabilities, effective verbal/written communication skills, and have a passion to use data to drive business decisions.
US, WA, Seattle
The AWS HR Economics and Applied Science Team is hiring Interns in Economics. We come up with innovative ways to use econometrics, ML, and economic theory to improve the experience of AWS employee and to help HR/recruiters put the right people in the right place at the right time to staff all of AWS.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 and machine learning, as well as basic familiarity with Python and/or R is necessary, and experience with SQL, UNIX, and Spark would be a plus.You will develop causal inference models to assess all decisions surrounding talent: drivers of promotion, attrition, transfers, and hires and you will identify and work with external and internal talent data-sets and develop ways to combine the two to answer important talent research questions.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, engineers, 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 placement.Roughly 50% of research assistants from previous cohorts have converted to full time data science or economics employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
US, WA, Seattle
Amazon is the second largest private employer in the country, and encounters the expected challenges from managing such a large and diverse workforce. The Central HR Science and Tech team comprises of a small but very senior set of scientists and engineers whose goal is to tackle HR's most pressing challenges. We are looking for a senior economist with demonstrated experience in designing cutting-edge solutions to solve large-scale complex problems, along with a desire to work closely with the business to drive sustained impact.The team will work across topics touching upon all aspects of HR, including: workforce planning, recruiting, employee engagement, retention, development, and compensation. The ideal candidate will have a broad multi-disciplinary toolkit and is comfortable developing innovative, peak-jumping solutions. The role requires the individual to have strong quantitative modeling skills and the ability to apply statistical/machine learning, econometric, and experimental / survey design methods to large amounts of individual level data. The candidate should also have strong communication skills, be able to work closely with stakeholders and translate data-driven findings into actionable insights.
US, WA, Seattle
Amazon is the second largest private employer in the country, and encounters the expected challenges from managing such a large and diverse workforce. The Central HR Science and Tech team comprises of a small but very senior set of scientists and engineers whose goal is to tackle HR's most pressing challenges. We are looking for a senior economist with demonstrated experience in designing cutting-edge solutions to solve large-scale complex problems, along with a desire to work closely with the business to drive sustained impact.The team will work across topics touching upon all aspects of HR, including: workforce planning, recruiting, employee engagement, retention, development, and compensation. The ideal candidate will have a broad multi-disciplinary toolkit and is comfortable developing innovative, peak-jumping solutions. The role requires the individual to have strong quantitative modeling skills and the ability to apply statistical/machine learning, econometric, and experimental / survey design methods to large amounts of individual level data. The candidate should also have strong communication skills, be able to work closely with stakeholders and translate data-driven findings into actionable insights.
US, WA, Seattle
Economists at Amazon will be expected to work directly with our Chief Economists and senior management on key business problems faced in retail, international retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations. Amazon economists will apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.Amazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.
US, WA, Seattle
The Central Economics Economics team uses Economics, Statistics, and Machine Learning to understand and design the complex economy of Amazon’s network of buyers and sellers. We are an interdisciplinary team, committed to use of cutting edge technology and leveraging the strengths of engineers and scientists to build solutions for some of the toughest business problems at Amazon.We are looking for an outstanding scientist who is able to provide structure around complex business problems, work with machine learning scientists to estimate and validate their models on large scale data, and who can help business and tech partners turn the results of their analysis into policies, programs, and actions that have a major impact on Amazon’s business. We are looking for 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.At the senior level, we expect you be able to own the development of scientific models and to manage, in close collaboration with scientists and engineers, the data analysis, modeling, and experimentation that is necessary for estimating and validating your model. You will need to work with our business partners to communicate the properties of your analysis/modeling and be able to work to incorporate their feedback and requests into your project. Experience in applied economic analysis is essential, and you should be familiar with modern tools for data science and business analysis.We are particularly interested in candidates with research background in applied microeconomics, Finance, time series, empirical IO, Marketing, applied econometrics, and market design. However, we want to talk with any experienced economist with an interest in working on an interest in working on innovative, strategic problems with significant business impact.