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US, WA, Bellevue
How do you design and provide right incentives for millions of sellers that inbound and ship billions of customer orders? How do you measure sellers' response to /causal impacts of capacity control policies we implemented at Amazon using the state-of-the-art econometric techniques? How do you optimize Amazon’s third-party supply chain using new ideas never implemented at this scale to benefit millions of customers worldwide? How do you design and evaluate seller assistance to drive their success? If these type of questions get your mind racing, we want to hear from you.Supply Chain Optimization Technologies (SCOT) optimizes Amazon’s global supply chain end to end and build systems to deliver billions of products to our customers’ doorsteps faster every year while saving hundreds of millions of dollars using economics, operational research, machine learning, and scalable distributed software on the Cloud. Fulfillment by Amazon (FBA) is an Amazon service for our marketplace third party sellers, where our sellers leverage our world-class facilities and provide customers Prime delivery promise on all their goods.We are looking for the next outstanding economist to join our interdisciplinary team of data scientists, research scientists, applied scientists, economists. The ideal candidate combines econometric acumen with strong business judgment. You have versatile modeling skills and are comfortable extracting insights from observational and experimental data. You translate insights into action through proofs-of-concept and partnerships with engineers and data scientists to productionize. You are excited to learn from and alongside seasoned analysts, scientists, engineers, and business leaders. You are an excellent communicator and effectively translate business ideas and technical findings into business action (and customer delight).Key job responsibilitiesProvide data-driven guidance and recommendations on strategic questions facing the FBA leadershipDesign and implement V0 models and experiments to kickstart new initiatives, thinking, and drive system-level changes across AmazonHelp build a long-term research agenda to understand, break down, and tackle the most stubborn and ambiguous business challengesInfluence business leaders and work closely with other scientists at Amazon to deliver measurable progress and change
US, GA, Atlanta
Job summaryThe Central Science Team within Amazon’s People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. We are an interdisciplinary team, which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.
US, MA, Boston
Job summaryAmazon’s Corporate Projects team seeks a technical leader to head a new centralized applied statistics and reinforcement learning group with a pan-Amazon mandate. You will lead and direct a cross-functional team of Sr. Principal, Principal, and Sr. Scientists across multiple disciplines to drive research as well as an engineering and data science team that will implement research into scalable solutions that deliver discrete value in partnership with teams across Amazon.You are an entrepreneurial thinker who operates at the intersection of science and application to develop solutions that are both simple and effective. You must be comfortable working across various business units and contexts to Earn Trust with business and tech leaders, enabling your team to disambiguate highly amorphous problems, and leading by example to Invent and Simplify solutions that can clearly illustrate value and are able to reach Amazon scale.The ideal candidate will have a strong, foundational background in economics, machine learning, and/or statistics. Managing a job-family diverse team of multiple disciplines comes natural to you. Your communication skills (both verbal and written) are clear and concise. Influencing without authority is not an issue; you are able to bring stakeholders along regardless of their level of seniority or technical depth. You are equally comfortable collaborating with industry leaders as you are co-publishing with academic leaders at leading institutions. Above all, you are a problem solver, not a solution pusher.Key job responsibilitiesAdopt and apply a “Think Big; Start Small” mental model toward everything.Manage and lead a team of high-performing scientists, engineers, and academics to apply the latest in applied statistics and reinforcement learning toward a portfolio of business opportunities.Source problems and opportunities across business units within Amazon.Develop and execute a publication strategy that bolsters visibility of the team within the broader academic community.Provide scientific and technical guidance and mentorship to members of the immediate team as well as the broader technical community at Amazon.Accountable for quantifying value, enabled by the team, to executive stakeholders.Hire, develop, and maintain a high bar for talent, both within the team and within the broader technical community.Develop and maintain ties with the academic community with an eye toward collaborations, recruiting, and co-authored publications.About the teamCorporate Projects is a team that sits within the broader Corporate Development organization at Amazon. We seek to bring net-new, strategic projects to life by working together with customers and evolving projects from ZERO-to-ONE. To do so, we deploy our resources towards proofs-of-concept (POCs) and pilot programs and develop them from high-level ideas (the ZERO) to tangible short-term results that provide validating signal and a path to scale (the ONE). We work with our customers to develop and create net-new opportunities by relentlessly canvasing all of Amazon and finding new and innovative ways to strengthen and/or accelerate the Amazon Flywheel.
US, WA, Seattle
Amazon.com strives to be Earth's most customer-centric company where customers can shop in our stores to find and discover anything they want to buy. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.Economists at Amazon partner closely with senior management, business stakeholders, scientist and engineers, and economist leadership to solve key business problems ranging from Amazon Web Services, Kindle, Prime, inventory planning, international retail, third party merchants, search, pricing, labor and employment planning, effective benefits (health, retirement, etc.) and beyond. Amazon Economists build econometric models using our world class data systems and apply approaches from a variety of skillsets – applied macro/time series, applied micro, econometric theory, empirical IO, empirical health, labor, public economics and related fields are all highly valued skillsets at Amazon. You will work in a fast moving environment to solve business problems as a member of either a cross-functional team embedded within a business unit or a central science and economics organization. You will be expected to develop techniques that apply econometrics to large data sets, address quantitative problems, and contribute to the design of automated systems around the company.
US, WA, Seattle
Amazon.com strives to be Earth's most customer-centric company where customers can shop in our stores to find and discover anything they want to buy. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.Economists at Amazon partner closely with senior management, business stakeholders, scientist and engineers, and economist leadership to solve key business problems ranging from Amazon Web Services, Kindle, Prime, inventory planning, international retail, third party merchants, search, pricing, labor and employment planning, effective benefits (health, retirement, etc.) and beyond. Amazon Economists build econometric models using our world class data systems and apply approaches from a variety of skillsets – applied macro/time series, applied micro, econometric theory, empirical IO, empirical health, labor, public economics and related fields are all highly valued skillsets at Amazon. You will work in a fast moving environment to solve business problems as a member of either a cross-functional team embedded within a business unit or a central science and economics organization. You will be expected to develop techniques that apply econometrics to large data sets, address quantitative problems, and contribute to the design of automated systems around the company.
US, WA, Seattle
Amazon.com strives to be Earth's most customer-centric company where customers can shop in our stores to find and discover anything they want to buy. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.Economists at Amazon partner closely with senior management, business stakeholders, scientist and engineers, and economist leadership to solve key business problems ranging from Amazon Web Services, Kindle, Prime, inventory planning, international retail, third party merchants, search, pricing, labor and employment planning, effective benefits (health, retirement, etc.) and beyond. Amazon Economists build econometric models using our world class data systems and apply approaches from a variety of skillsets – applied macro/time series, applied micro, econometric theory, empirical IO, empirical health, labor, public economics and related fields are all highly valued skillsets at Amazon. You will work in a fast moving environment to solve business problems as a member of either a cross-functional team embedded within a business unit or a central science and economics organization. You will be expected to develop techniques that apply econometrics to large data sets, address quantitative problems, and contribute to the design of automated systems around the company.
GB, London
Job summaryAt Amazon Prime Video we are passionate about using data and analytics to delight our customers by understanding their preferences to produce and acquire their favourite streaming content.As an Economist in the Prime Video Content Analytics team you will be responsible for delivering research, econometric models, and analysis to optimize content selection as an input to our business and customer engagement and acquisition as an output. The models you develop will drive changes in digital video content selection to ensure we’re providing customers with the best possible experience while optimizing our costs. 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.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.
US, CA, San Francisco
Job summaryMULTIPLE POSITIONS AVAILABLECompany: AMAZON.COM SERVICES LLCPosition Title: Economist IILocation: San Francisco, CaliforniaPosition Responsibilities:Work with fellow economists, scientists and/or senior management on key business problems faced in retail, international retail, third party merchants, search, and/or operations. Apply the frontier of economic thinking to experiment design, forecasting, program evaluation and other areas. Build econometric models using data systems. Apply economic theory to solve business problems. Own the development of economic models and manage the data analysis, modeling and experimentation necessary to estimate and validate the models, in collaboration with scientists and engineers. Develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems. Apply tools from applied micro-econometrics (e.g. experimental design, difference-in-difference, regression discontinuity) and forecasting (essential time series models). Leverage big data tools for data extraction. Work closely with business partners to communicate the intuition, implication and detail of economic analyses/modeling and incorporate feedback. 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
Job summaryThe 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, R, or Python is necessary. Experience with SQL, UNIX, Sawtooth, and Spark would be a plus. These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, data scientists and MBAʼs. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement. Roughly 85% of interns from previous cohorts have converted to full time economics employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com.
US, WA, Seattle
Job summaryMULTIPLE POSITIONS AVAILABLECompany: AMAZON.COM SERVICES LLCPosition Title: Economist IIILocation: Seattle, WashingtonPosition Responsibilities:Work with chief economist and/or senior management on key business problems faced in Amazon. Apply latest developments of economic thinking to market design, pricing, forecasting, program evaluation, and other areas. Build econometric models. Apply economic theory to solve business problems. Develop new techniques to address quantitative problems and contribute to design of automated systems. Apply tools from applied micro-econometrics (e.g. experimental design, difference-indifference, regression discontinuity, and IV), forecasting (essential time series models), and industrial organization (e.g. discrete choice, static and dynamic structural models). Leverage big data tools for data extraction.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000