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US, WA, Bellevue
Job summaryThe People eXperience and Technology Central Science Team (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.We are looking for economists who are able to work with business partners to hone complex problems into specific, scientific questions, and test those questions to generate insights. The ideal candidate will work with engineers and computer scientists to estimate models and algorithms on large scale data, design pilots and measure their impact, and transform successful prototypes into improved policies and programs at scale. We are looking for creative thinkers who can combine a strong technical economic toolbox with a desire to learn from other disciplines, and who know how to execute and deliver on big ideas as part of an interdisciplinary technical team.Ideal candidates will work closely with business partners to develop science that solves the most important business challenges. They will work in a team setting with individuals from diverse disciplines and backgrounds. They will serve as an ambassador for science and a scientific resource for business teams, so that scientific processes permeate throughout the HR organization to the benefit of Amazonians and Amazon. Ideal candidates will own the data analysis, modeling, and experimentation that is necessary for estimating and validating models. They will work closely with engineering teams to develop scalable data resources to support rapid insights, and take successful models and findings into production as new products and services. They will be customer-centric and will communicate scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions.Key job responsibilitiesUse causal inference methods to evaluate the impact of policies on employee outcomes. Examine how external labor market and economic conditions impact Amazon's ability to hire and retain talent. Use scientifically rigorous methods to develop and recommend career paths for employees.A day in the lifeWork with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions, writing code to implement a DID analysis or estimate a structural model, or writing and presenting a document with findings to business leaders. Our economists also collaborate with partner teams throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions.About the teamWe are a multidisciplinary team that combines the talents of science and engineering to develop innovative solutions to make Amazon Earth's Best Employer.
US, DC, Washington
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.We are looking for an economist with expertise in applying causal inference, experimental design, or causal machine learning techniques to topics in labor, personnel, education, health, public, or behavioral economics. We are particularly interested in candidates with experience applying these skills to strategic problems with significant business and/or social policy impact.Candidates will work with economists and engineers to estimate and validate their models on large scale data, and will help business partners turn the results of their analysis into policies, programs, and actions that have a major impact on Amazon’s business and its workforce. 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.Ideal candidates will own key inputs to all stages of research projects, including model development, survey administration, experimental design, and data analysis. They will be customer-centric, working closely with business partners to define key research questions, communicate scientific approaches and findings, listen to and incorporate partner feedback, and deliver successful solutions.
US, DC, Washington
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.We are looking for an economist with expertise in applying causal inference, experimental design, or causal machine learning techniques to topics in labor, personnel, education, health, public, or behavioral economics. We are particularly interested in candidates with experience applying these skills to strategic problems with significant business and/or social policy impact.Candidates will work with economists and engineers to estimate and validate their models on large scale data, and will help business partners turn the results of their analysis into policies, programs, and actions that have a major impact on Amazon’s business and its workforce. 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.Ideal candidates will own key inputs to all stages of research projects, including model development, survey administration, experimental design, and data analysis. They will be customer-centric, working closely with business partners to define key research questions, communicate scientific approaches and findings, listen to and incorporate partner feedback, and deliver successful solutions.
US, WA, Seattle
Job summaryCustomer 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 safeguard order pipelines by monitoring, tracking, and managing risk in order to ensure long term customer satisfaction. We are seeking an Economist to play a key role in order-related risk detection, and enforcement policy optimization.The Economist will work closely with Research Scientists, Engineers and Product Managers to build econometric models, plug them into our systems, and use them to 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 maintain scalable models to support multiple initiatives at the same time.· 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 for using data to drive business decisions.
US, WA, Seattle
Job summaryAWS Central Economics is an interdisciplinary team on the cutting edge of economics, statistical analysis, and machine learning whose mission is to solve problems that have high risk and high payoff. Our team leverages the strengths of our scientists to build solutions for some of the toughest business problems here at AWS.We are looking for a talented and motivated Economist to develop insights and implement scalable solutions to optimize AWS’ cost allocation and pricing systems. An ideal candidate will combine a firm grounding in applied economic theory with empirical skills in either or, ideally, both structural estimation and reduced form causal analysis. The candidate will work closely with business partners to understand existing systems and identify areas for improvement. They will lead implementation of modelling solutions to these problems and work closely with product and finance leaders to insure adoption of these solutions.Key job responsibilities· Translate business problems into an economic framework· Develop cutting-edge, production-quality econometric and machine learning solutions that can be scaled and deployed by engineering and product teams· Develop relationships with and provide science thought leadership to senior finance and product business partners· Work in an interdisciplinary environment with data scientists, engineers, and product specialists
US, WA, Seattle
Job summaryAWS Central Economics is an interdisciplinary team on the cutting edge of economics, statistical analysis, and machine learning whose mission is to solve problems that have high risk and high payoff. Our team leverages the strengths of our scientists to build solutions for some of the toughest business problems here at AWS.We are looking for an talented and motivated Economist with time series expertise to help drive the science and inform the automation of forecasting for AWS. The output of these analyses supports critical CEO, SVP, and VP-level decision making at AWS.You will contribute to the development of a unified and scalable science and data-drive approach to forecasting the AWS business and in deriving key insights into business drivers, risks and opportunities. You will understand the needs of the business for decisionmaking and planning along with the economic environment in which AWS operates and the impacts on the business. You will apply creativity, economic thinking, and state-of-the art methods in econometrics and ML, both for prediction and causal inference to produce reliable, transparent, actionable, and scalable solutions.Key job responsibilities· Translate business problems into an economic framework· Develop cutting-edge, production-quality econometric and machine learning solutions that can be scaled and deployed by engineering and product teams· Develop relationships with and provide science thought leadership to senior finance and product business partners· Work in an interdisciplinary environment with data scientists, engineers, and product specialists
US, WA, Seattle
Job summaryAmazon's CloudTune Forecasting 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.About the teamCloudTune Forecasting team develops large-scale scale models to inform team-level budget allocations and procurement/allocation of compute capacity for Amazon businesses during new product launches, high velocity events and non-peak periods. Scientist in the team will be contributing to a managed service that uses historical data and business signals to deliver time series forecasting for specialized use cases. The service combines a variety of distinct forecasting models to produce highly accurate forecasts.
US, WA, Seattle
Job summaryCore AI is an interdisciplinary team on the cutting edge of economics, statistical analysis, and machine. The team leverages current science, and invents new science, to tackle Amazon's toughest and most impactful problems, in order to guide decision-making.The team is looking for a seasoned economist to join a small policy team to conduct critical in-house research to better understand how Amazon impacts the people and regions where it operates. As a member of Core AI, you will collaborate closely with world-class academic scientists and researchers to develop, implement, and productionize solutions.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, while taking account dynamic long-term and strategic factors. We seek creative candidates who can combine a strong economic toolbox with a desire to learn from others, to execute and deliver on big ideas.
US, WA, Seattle
Job summaryCore AI is an interdisciplinary team on the cutting edge of economics, statistical analysis, and machine. The team leverages current science, and invents new science, to tackle Amazon's toughest and most impactful problems, in order to guide decision-making.The team is looking for a seasoned economist to join a small policy team to conduct critical in-house research to better understand how Amazon impacts the people and regions where it operates. As a member of Core AI, you will collaborate closely with world-class academic scientists and researchers to develop, implement, and productionize solutions.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, while taking account dynamic long-term and strategic factors. We seek creative candidates who can combine a strong economic toolbox with a desire to learn from others, to execute and deliver on big ideas.
US, DC, Washington DC
Job summaryHow do you manage inventory when you don’t own it? How do you design and provide right incentives for millions of sellers that inbound and ship billions of customer orders? How do you optimize Amazon’s third-party supply chain using new ideas never implemented at this scale to benefit millions of customers worldwide? 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 science, machine learning, and scalable distributed software on the Cloud. 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. SCOT has launched a new team called Fulfillment by Amazon (FBA) Automation & Optimization to focus on optimizing our third-party supply chain, and is in search to hire a Principal Economist.Key job responsibilities· Design and develop rigorous models to understand and assess third party sellers’ behaviors and experience, including causal impact of various Amazon inventory policies on their short-term and long-term performance.· Design and conduct experiments to validate theories and improve understanding of Amazon’s third party ecosystem.· Collaborate with product managers, scientists, and software developers to incorporate models into production processes and influence senior leaders.· Own the scientific vision and direction related to FBA Sellers.· Own all development phases of economic modeling, including defining key research questions, recommending measures, working with multiple data sources, evaluating methodology and design, executing analysis plans, and interpreting and communicating results· Effectively communicate econometric models to business teams and incorporate feedback into project analysis/modeling.About the teamSellers are a critical part of Amazon’s ecosystem to deliver on our vision of offering the Earth’s largest selection and lowest prices. Fulfillment By Amazon (FBA) enables Sellers to provide fast and efficient deliver to their customers using Amazon fulfillment services. In 2020, Sellers enjoyed strong growth using FBA shipping more than half of all products offered on Amazon. To our consumers, FBA provides a broad and diverse inventory of products from Books, Electronics and Apparel to Consumables and beyond with many of them available with 1-Day shipping. The FBA Inventory team within the Amazon Supply Chain Optimization Technology (SCOT) organization is in charge of defining and delivering fulfillment services to our Sellers by leveraging Amazon’s expertise in machine learning, inventory optimization, big data, and distributed systems to deliver the best inventory management experiences for our FBA Sellers. We work full stack, from foundational backend systems to future-forward user interfaces. Our culture is centered on rapid prototyping, rigorous experimentation, and data-driven decision-making.