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US, WA, Bellevue
Job summaryAre you seeking an environment where you can drive innovation? Do you want to apply inference, advanced statistical modeling and causal inference techniques to solve world's most challenging problems for Amazon's worldwide supply chain that drives its e-commerce engine? Do you want to play a crucial role in the future of Amazon's Retail business? Do you want to be a part of a journey that develops a new technology from scratch for answering critical business question in Amazon Retail?Every time an Amazon customer makes a purchase, a number of systems are involved: these systems help optimize acquisition, enable a number of purchase options, ensure great , store products so they are available for fast delivery, and minimize package frustration. The Technology (SCOT) Group develops and manages these systems. We are central to Amazon customers' ability to find what they want and get it when they want it.The Observational Data Causal Inference team tackles some of our hardest causal inference questions for Amazon worldwide supply chain, feeding results back to our stakeholders to continue to drive innovation in our supply chain technology to better serve our customers. Amazon's supply chain is extremely complex and operates at massive scale, thereby making it an attractive playground for causal inference research at scale where the results have immediate and tangible impact on our customers. This is a brand new team that sits alongside the established sister team (Inventory Planning and Control Lab) that runs randomized experiments for Amazon's worldwide supply chain. This position is open to the following locations: Seattle and virtual. Key job responsibilitiesKey job responsibilities* Lead the development of a consistent, integrated framework for assessing casual relationships the multitude of upstream and downstream supply chain metrics * Interact with senior leaders in Amazon supply chain, both technical and non-technical, to understand their primary use cases for causal inference* Independently write technical and business documents to communicate ideas and proposals to various audiences* Incorporate new data sources and creative methodology innovations to improve model performance* Mentor junior teammates to improve their understanding and application of science to causal and structural economic problems* Work alongside and collaborate with our randomized experimentation team (IPC Lab) to further drive understanding and innovation in supply chain technology
US, WA, Bellevue
Job summaryAre you seeking an environment where you can drive innovation? Do you want to apply inference, advanced statistical modeling and causal inference techniques to solve world's most challenging problems for Amazon's worldwide supply chain that drives its e-commerce engine? Do you want to play a crucial role in the future of Amazon's Retail business? Do you want to be a part of a journey that develops a new technology from scratch for answering critical business question in Amazon Retail?Every time an Amazon customer makes a purchase, a number of systems are involved: these systems help optimize acquisition, enable a number of purchase options, ensure great , store products so they are available for fast delivery, and minimize package frustration. The Technology (SCOT) Group develops and manages these systems. We are central to Amazon customers' ability to find what they want and get it when they want it.The Observational Data Causal Inference team tackles some of our hardest causal inference questions for Amazon worldwide supply chain, feeding results back to our stakeholders to continue to drive innovation in our supply chain technology to better serve our customers. Amazon's supply chain is extremely complex and operates at massive scale, thereby making it an attractive playground for causal inference research at scale where the results have immediate and tangible impact on our customers. This is a brand new team that sits alongside the established sister team (Inventory Planning and Control Lab) that runs randomized experiments for Amazon's worldwide supply chain. This position is open to the following locations: Seattle and virtual. Key job responsibilities* Lead the development of a consistent, integrated framework for assessing casual relationships the multitude of upstream and downstream supply chain metrics * Interact with senior leaders in Amazon supply chain, both technical and non-technical, to understand their primary use cases for causal inference* Independently write technical and business documents to communicate ideas and proposals to various audiences* Incorporate new data sources and creative methodology innovations to improve model performance* Mentor junior teammates to improve their understanding and application of science to causal and structural economic problems* Work alongside and collaborate with our randomized experimentation team (IPC Lab) to further drive understanding and innovation in supply chain technology
US, Virtual
Job summaryJob 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, and experience with SQL, UNIX, and AWS service 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, 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 OrientationKey job responsibilitieshelp preparing data and set up the estimation for an entry model
GB, London
Job summaryWe are looking for an Economist to work on exciting and challenging business problems related to Amazon Retail’s worldwide product assortment. You will build innovative solutions based on econometrics, machine learning, and experimentation. You will be part of a interdisciplinary team of economists, product managers, engineers, and scientists, and your work will influence finance and business decisions affecting Amazon’s vast product assortment globally. 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* Work on a challenging problem that has the potential to significantly impact Amazon’s business position* Develop econometric models and experiments to measure the customer and financial impact of Amazon’s product assortment* Collaborate with other scientists at Amazon to deliver measurable progress and change* Influence business leaders based on empirical findings
US, CA, Virtual Location - California
Job summaryThe ER Solutions team uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which solve for defects in the Employee Experience. We are an interdisciplinary team which combines the talents of science, psychology and industry specialists to develop and deliver solutions that measurably achieve this goal.We are looking for detail-oriented, organized, and responsible individuals who are eager to join our team as an intern. Knowledge of econometrics and the causal inference toolkit is necessary. These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. Roughly 50% of previous cohorts have converted to full time scientist employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com.
US, WA, Seattle
Job summaryAre you passionate to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions to help Selling Partners and Customers on Amazon? Want to work on the business that is the lifeblood of Amazon? Selling on Amazon is one of the fastest growing businesses at Amazon.com and empowers millions of entrepreneurs worldwide. Our team will invent and innovate across technology, processes and people to grow the program, improve engagement and satisfaction and enable scalable solutions. We are looking for an Economist to lead us to identify data-driven insight and opportunities to improve our seller recruitment strategy and drive new seller success. As a successful economist on our talented team of scientists and engineers, you will solve complex problems to identify actionable opportunities, and collaborate with engineering, research, and business teams for future innovation. You need to be a sophisticated user of econometric models and advanced quantitative techniques for answering specific business questions, and an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication. 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:· Provide data-driven guidance and recommendations on strategic questions posed by the NSS leadership. · Design and analysis of account coverage experiments and define and analyze success metrics across sales team optimization, marketing and new seller education and recommendation programs.. Conduct, direct, and coordinate all phases of research projects, demonstrating skill in all stages of the analysis process, including defining key research questions, recommending measures, working with multiple data sources, evaluating methodology and design, executing analysis plans, interpreting and communicating results. · Provide technical and scientific guidance to your team members, both junior and senior. · Communicate effectively with senior management as well as with colleagues from science, engineering, and business backgrounds.
US, MI, Virtual Location - Michigan
Job summaryWe 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 Python is necessary, and experience with SQL and UNIX would be a plus.This is a full-time position at 40 hours per week during the summer months and 20 hours per week for 3-9 months after summer depending on project progress. The compensation will be awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, scientists, and product managers. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 50% of previous cohorts have converted to full time scientist employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com. Key job responsibilitiesApply economics to modeling the behavior of economic players; simulate the potential outcomes of different mechanisms; design tools to understand the preference of economic players; and make business recommendations based on quantitative research. A day in the lifeAnalytical modeling, programming, data analysis, results summary, business presentation. About the teamWe are a team of seasoned economists that collaborate closely with core business people in Amazon. Our projects apply economic insights to practical problems and develop evidence-based business recommendations.
US, WA, Seattle
Job summaryDo you have a passion for diving deep to uncover key insights that drive critical business decisions? If yes, the Campaigns Measurement and Optimization (CMO) team is looking for talented individuals 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. CMO’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.Key job responsibilitiesBuild 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 problemsImprove upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parametersCollaborate with researchers, software developers, and business leaders to define product requirements and provide analytical supportCommunicating 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, NY, New York City
Job summary The Topline Forecast and Insights team is seeking a technical leader who is passionate about applying the frontier of economic thinking to business problems. Modeling and forecasting demand is at the core of business strategy for Amazon’s sophisticated physical consumer business. To delight customers and deliver millions of packages each day, Amazon faces decisions such as how to direct investments to new programs and benefits, how to optimize processes for better customer experience, how to expand the selection of products from global sellers and vendors, and how many fulfillment centers to build. All these decisions rely on understanding the full customer journey through their engagement with Amazon, simulation support to assess different scenarios, and accurate demand forecasts for various time horizons, product categories, and geographic regions.We are looking for an outstanding Economist 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 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 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.
US, WA, Seattle
Job summaryPrime 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.Key job responsibilitiesThe candidate's responsibilities will include:Build scalable analytic solutions using state of the art tools based on large datasetsBuild econometric models, conduct statistical/machine learning analyses, or design experiments to measure the value of the business and its many featuresPartner closely with Business, Finance, Science, and Tech partners to build prototypes and implement production solutionsIndependently identify new opportunities for leveraging economic insights and models in the Video businessDevelop and execute product workplans from concept, prototype to production incorporating feedback from customers, scientists and business leadersWrite both technical white papers and business-facing documents to clearly explain complex technical concepts to audiences with diverse business/scientific backgrounds