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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’s Sustainability organization leverages Amazon’s innovative culture to advance environmental and social sustainability. We take action to improve the impact Amazon has on the environment, looking for wins that are good for our customers and our business. Sustainability Science is a team of environmental scientists, social scientists, and product managers answering core sustainability questions for the larger organization and looking around corners to identify long term environmental and social hotspots.In September 2019, Amazon announced The Climate Pledge and committed the company to net zero carbon emissions by 2040. Amazon is driving real business changes across the company to achieve these carbon reductions. As part of that effort, we are looking for an economist with experience implementing market-based mechanisms to identify and incentivize innovations that reduce carbon. This could involve creative use of shadow prices, incorporating carbon prices into existing tools and algorithms, defining flexible or tradable team level carbon reduction goals, or other novel techniques.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.You should be comfortable learning new subject areas and diving deeply into unfamiliar tools and processes in order to understand how markets can be modified or created in order to align incentives around reducing carbon. This role will require influencing partner teams and making recommendations to senior leadership.
US, NY, New York
MULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services LLCTitle: Economist IILocation: New York, NYPosition Responsibilities:Solve key business problems faced in retail, advertising, international retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations through application of economic theory. Apply frontier of economic thinking to market design, pricing, forecasting, program evaluation, and online advertising. Build econometric models using data systems. Develop new techniques to process large data sets, address quantitative problems, and contribute to automated systems design. Apply tools from applied micro-econometrics (e.g. experimental design, difference-in-difference, regression discontinuity, and IV) and forecasting (essential time series models). Leverage big data tools for data extraction. Write up and present analysis for distribution to various levels of management at Amazon.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
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.This role will play an instrumental role in building, maintaining, and expanding core economic demand models for Amazon Devices. Using a conjoint-based economic demand application, you will simulate new products' impact on market segment share even before our customers ever see them on Amazon.com. You will experiment with constructing solutions to Device-specific business problems and help drive the scientific roadmap of our demand modeling software now used in other areas of Amazon. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment.In addition, you will support up to SVP-level decision meetings around approving confidential funding requests (PRFAQs) for brand new devices and services, build decisions around how many hardware devices to build prior to receiving any customer signal, and pricing decisions around how to price and promote products and services. You will leverage Science and Tools produced by the Device Economics team such as conjoint demand models to produce these recommendations. As part of the stakeholder-facing arm of the team, you will own relationships with decision makers to help improve the customer experience by making the decisions that impact them more data and Science-driven. In parallel, you will work with Scientists, Economists, Product Managers, and Software Developers to provide meaningful feedback about stakeholder problems to inform business solutions and increase the velocity, quality, and scope behind our recommendations. In parallel we will invest in your development to pursue your career goals.
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. We are looking for a senior economist to research topics touching upon all aspects of HR, including: workforce planning, recruiting, employee engagement, retention, development, and compensation.The ideal candidate will be able to: (1) use economic theories to structure ambiguous problems; (2) define proper metrics and assemble unique datasets to test hypotheses; (3) assess and interpret (causal) empirical relationships using data; and (4) design and test how incentives affect behavior, taking into account dynamic long-term and strategic factors. The candidate should have strong communication skills, and be able to use their analysis to articulate a true and coherent story on the impact Amazon has had on workers, the market, and the economy. The individual is expected to work closely with business leaders, and communicate clearly through various means, including research papers and public speaking.
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 AWS Finance Central Economics team is looking for a PhD economist. The ideal candidate will have some experience with market desgin and/or with empirical industrial organization techniques. Working knowledge of R is a plus.You will learn about cloud products, including compute, storage, and databases. You will work on analytic projects requested by senior leadership. You will get the opportunity to learn new techniques. You will be a part of a team with many experienced economists.
US, WA, Seattle
Amazon Business (AB) is the B2B store on Amazon, providing business customers with the pricing, selection and convenience of Amazon, with features and benefits designed for businesses of all sizes. We are looking for an outstanding Economist who will own this space from end-to-end, providing structure around tough business problems spanning pricing to new logistics methods, 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.AB is re-inventing the way businesses shop. Over the last 5 years Amazon Business has grown significantly, surpassing $10B in sales, expanding to nine countries, and attracting millions of business customers. These customers have different needs than the traditional Amazon customers, so we are reinventing how we add and display business selection, value products, and provide the right customer experience. 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 principal level, we expect you to be a thought partner to senior leadership and take ownership of significant aspects of the AB business model. You will work directly with both business and economic leadership to think big and steer this business. You will also dive deep and be able to own the development of economic 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 models. 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. Mentorship, development, and review of junior scientists is a core part of your job. 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, empirical IO, Marketing, Finance, 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. With our drive to reinvent on behalf of business customers, we are focused on building Amazon Business into the largest and most innovative Business-to-Business (B2B) marketplace in the world.
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
Amazon is the second largest private employer in the country, and encounters the expected challenges from managing such a large and diverse workforce. We are looking for a senior economist to research topics touching upon all aspects of HR, including: workforce planning, recruiting, employee engagement, retention, development, and compensation.The ideal candidate will be able to: (1) use economic theories to structure ambiguous problems; (2) define proper metrics and assemble unique datasets to test hypotheses; (3) assess and interpret (causal) empirical relationships using data; and (4) design and test how incentives affect behavior, taking into account dynamic long-term and strategic factors. The candidate should have strong communication skills, and be able to use their analysis to articulate a true and coherent story on the impact Amazon has had on workers, the market, and the economy. The individual is expected to work closely with business leaders, and communicate clearly through various means, including research papers and public speaking.
US, WA, Seattle
This role in Business, Technology, and Solutions (BTS) is for a PhD economist focused on the economics of business development, professional services, and other customer-facing initiatives in AWS. This is a great role for an economist looking to use their skills to drive deep business impact. Business Technology Solutions (BTS) is a diverse team that supports infrastructure and other foundational initiatives that span and support Sales, Marketing and Support teams within AWS.Examples of the problems you will work on:- Estimating causal impact of various customer engagements, such as Training, Professional Services, Machine Learnings Solutions Lab, etc.- Using a mix of machine learning and econometric methods, predict customer- or group-level likelihoods of benefiting from engagements based on rich customer feature set.- Build scalable analytic solutions using state of the art tools based on large datasets- Understanding the total value add of various AWS businesses.Key Responsibilities§ Develop new econometric models or improve existing approaches using scalable techniques§ Extract data for analysis and model development from large, complex datasetsPartner closely with Business, Finance, Science, and Tech partners to build prototypes and implement production solutions§ Closely work with engineering teams to build scalable, efficient systems that implement prototypes in production§ Distill problem definitions from informal business requirements and communicate technical solutions to senior 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 excited to be a member of a new science and analytics team?Are you passionate to measure Amazon shopper’s perception using scientific solutions?Are you the one who is full of ideas and economics rigor ?The Customer Behavior Analytics (CBA) Org builds products from the ground up to serve internal teams. Products we developed include Downstream Impact (DSI) framework, Customer Targeting applications, and A/B testing platforms. We use cutting edge technologies that fuse Big Data with concepts from Machine Learning, Economics, and Data Science. These innovations help make strategic investment decisions and define the customer engagement metrics by which Amazon runs its business globally.Economists at Amazon are solving some of the most challenging applied economics questions in the tech sector. Amazon economists apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. Our economists build econometric models using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. A career at Amazon affords economists the opportunity to work with data of unparalleled quality, apply rigorous applied econometric approaches, and work with some of the most talented applied scientists in the trade.The Marketing Analytics and Predictive Science (MAPS) team within CBA is looking for an experienced Economist to define the measurement plan to quantifying how our marketing strategies impacts our shoppers’ perception towards Amazon. You are a seasoned leader to define the ambiguous space. We are looking for a thought leader and you demonstrate this by delivering solutions, not just by having ideas. You will apply economic theory and quantitative methods to relate how our marketing campaigns affect these measurement metrics. We encourage you to shape the business strategy with data driven recommendations. A successful Economist has an entrepreneurial spirit and want to make a big impact on Amazon shoppers. Our primary partners are the Cross Channel and Category team. You will develop strong working relationships and thrive in a collaborative team environment. Your role requires the ability to influence a virtual team of contributors and interact with marketing executives.The main responsibilities for this position include:· Apply expertise in causal modeling to develop systems that describe how Amazon’s marketing campaign impacts our shopper’s perception.· Review and audit modeling processes and results for other scientists, both junior and senior.· Work with marketing leadership to align our measurement plan with business strategy.· Identify new opportunities that are suggested by the data insights.· Bring a department-wide perspective into decision making.· Lead projects that mature our instrumentation and visibility.
US, CA, Palo Alto
DescriptionAmazon.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.We need an expert in econometric and statistical tools to extract insights at scale by building models with our world class data systems, designing advanced new experimental methods, and investigating complex behavioral patterns.The TeamThe Amazon Search team creates powerful, customer-focused search and advertising solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, our services go to work. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day. Our Search Relevance team works to maximize the quality and effectiveness of the search experience for visitors to Amazon websites worldwide.Within Amazon Search, the Data Science team brings expertise in constrained optimization, modeling data, and experimental methods. We partner with internal and external teams to bring data to active projects in addition to pioneering new insights, measurement and testing methodologies, and optimization strategies. This ensures the proper scientific use of data in launch decisions and that we are properly optimizing all trade-offs in product design. In addition to working with partners, we incubate new modeling techniques, and perform 'front line recon' on potential new models and tools.ResponsibilitiesScientists 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. Major responsibilities include:Measure / Quantify / Expand:· Design, size, and analyze field experiments at scale.· Apply econometric or statistical knowledge to improve Amazon Search (using machine learning techniques is a plus)· Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.· Analyze historical data to identify trends and support decision making.Explore / Enlighten· Formalize assumptions about how Amazon Search is expected to work.· Given anomalies, whether anecdotal or identified automatically, deep dive to explain why they happen, and identify fixes.Decide / Recommend· Build decision-making models and propose solution for the business problem you defined· Analyze A/B tests and recommend ways to making them faster and more robust· Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.· Utilize code (python or another object oriented language) for data analyzing and modeling algorithm
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
Are you passionate about developing new state-of-the-art measurement approaches at Petabyte scale? Do you enjoy solving some of the most challenging economic questions in the technology industry? Amazon Advertising is one of Amazon’s fastest growing businesses, and we are leveraging our unique data, the latest machine learning methods and big data technologies to better understand how advertising influences customer behavior. We have a world-class platform and are focused on building in-house technology to deliver on a growing number of Amazon’s owned marketing programs. We operate on a massive scale and are continuously innovating to expand the problems we solve.We are seeking a talented, causal economist to join our team and help us deliver novel measurement solutions to understand the impact of our marketing activities on customer behavior. This role will impact billions of dollars in investment decisions and provide insights for decision-making by dozens of Amazon’s most strategic businesses. What makes us unique is our unprecedented volumes of feature-rich data, our compute power, and our world-class engineering systems; these factors create an opportunity for us to set new industry standards in marketing measurement and customer insight. Our economist will apply econometric theory to build models and prototypes that lead to scalable implementations in partnership with engineering teams. We offer the opportunity to work with data of unparalleled quality, apply rigorous econometric approaches, and work with some of the most talented econometricians and engineers in the industry.As a successful candidate, you will be a self-starter, entrepreneurial, comfortable with ambiguity, and with a strong technical acumen. You will be able to formalize problem definitions from ambiguous requirements, assess if existing academic research can be extended, and propose novel solutions to non-standard problems. You will be able to solve problems by developing new techniques to process large data sets, using causal inference, machine learning, and working with teams to automate models at scale. You will be effective communicating complicated concepts clearly to business leaders and other scientists, and comfortable building, estimating, and defending causal statistical models. This position is unique in its potential for visibility and impact within Amazon.
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
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
Amazon cross-channel marketing measurement and optimization team is looking for an economist to join us. The candidate will contribute to the science of marketing attribution systems and work with partner teams to design and analyze experiments.This role requires an individual with strong quantitative modeling skills and the ability to apply statistical/machine learning, econometric, and experimental design methods.The candidate should have strong communication skills to work closely with stakeholders to 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.Overall, the candidate’s responsibilities include:· Build econometric models and conduct statistical/machine learning analyses to measure the financial impact of cross channel marketing spend· Design and measure experiments· Build scalable analytic solutions using state of the art tools based on large datasets
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
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