Economist Salary at Mataf BETA

Description Amazon's Devices Economic Value team enables measurement and optimization of Amazon Devices long-term value to help Amazon build better products for their customers. Delivering lasting value to customers is in Amazon's DNA and we are at the core of how the Devices business prioritizes its investments in innovation and optimization on behalf of customers. Join us to be a part of the team that is at the core of understanding how Amazon Devices drive deeper customer engagement and helps the business make decisions about how to optimize and balance between short term monetization and long term value creation for Amazon Device users. We are seeking a skilled Principal Economist to build the future of long term value measurement and optimization for Amazon Devices. Key job responsibilities We are looking for a talented Principal Economist to drive the science evolution within the Devices Economic Value space (DEV). The Principal Economist will be responsible for evolving the DEV

Description Amazon is committed to exceeding customer expectations. In the Returns and Recommerce organization, we seek to improve customer satisfaction with the items they buy on Amazon, provide new value for our customers, and reduce costs to drive the holistic business flywheel. We are looking for a dynamic, resourceful, and organized Economist to join the Returns and Recommerce organization to develop new, data-driven solutions to support the most critical components of this rapidly scaling team. The Amazon R&R team has an opening for applied micro, empirical IO, and time series and forecasting with demonstrated industry, policy, or academic experience. You will apply economic theory to build econometric models, and prototype and put into production scalable implementations in partnership with technical teams, using Amazons world class data systems. You will be expected to be a thought leader as we chart new courses with our customer delivery support technologies. Successful candid

Description Device Economics is looking for a senior economist experienced in causal inference, machine learning, empirical industrial organization, and scaled systems to work on business problems to advance critical resource allocation and pricing decisions in the Amazon Devices org. Senior roles lead vision setting, methods innovation, and act as thought leaders to Devices finance and business executives. Output will be included in scaled systems to automate existing processes and to maximize business and customer objectives. Amazon Devices designs and builds Amazon first-party consumer electronics products to delight and engage customers. Amazon Devices represents a highly complex space with 100+ products across several product categories (e-readers [Kindle], tablets [Fire Tablets], smart speakers and audio assistants [Echo], wifi routers [eero], and video doorbells and cameras [Ring and Blink]), for sale both online and in offline retailers in several regions. The space becomes mor

Description Amazon's Global Talent Management and Compensation (GTMC) Center for Applied Science and Economics (CASE) builds science models supporting employee career-related experiences such as their evaluation, learning and development, onboarding, and promotion for Amazonians. Additionally, the team conducts experiments for a wide range of employee and talent-related product features, and measures the impact of product and program initiatives in enhancing our employees' career experiences at Amazon. Amazon's GTMC team is looking for Economists who are highly specialized in the field of macroeconomics and time series forecasting. The economist will enhance science models by enabling them to adapt to external talent dynamics, enabling personalized, consistent, and high-impact employee experiences across the talent lifecycle. This will make the models more responsive to evolving market conditions and enhance the alignment of Amazon-wide talent strategies with team and organization-spec

Summary The Bureau of Labor Statistics measures labor market activity, working conditions, price changes, and productivity in the U.S. economy to support public and private decision making. The position is located in the Bureau of Labor Statistics, Office of Prices and Living Conditions (OPLC), Division of Producer Price Index (PPI). Responsibilities The BLS headquarters is currently in the process of relocating within the National Capital Area to Suitland, Maryland. If selected for this position, with an assigned duty station of Suitland, MD (Metropolitan Washington DC area), you may be eligible for limited telework with approval from your supervisor, based on onsite duties and responsibilities, while the new headquarters is being completed. Upon completion of the new headquarters offices in Suitland, MD, you will be expected to report in person to the Suitland Federal Center after receiving notification to do so. At that time, you may be eligible for limited telework, consistent with

Description We are seeking a senior scientist with demonstrated experience in A/B testing along with related experience with observational causal modeling (e.g. synthetic controls, causal matrix completion). Our team owns "causal inference as a service" for the Pricing and Promotions organization; we run A/B tests on new pricing, promotions, and pricing/promotions CX algorithms and, where experimentation is impractical, conduct observational causal studies. Key job responsibilities We are seeking a senior scientist to help envision, design, and build the next generation of pricing, promotions, and pricing/promotions CX for Amazon. On our team, you will work at the intersection of economic theory, statistical inference, and machine learning to design and implement in production new statistical methods for measuring causal effects of an extensive array of business policies. This position is perfect for someone who has a deep and broad analytic background, is passionate about using mathem

Description We are working back from a mission of explaining and predicting one of the most important inputs to the Amazon business - customer visit data. We are working to model and test our assumptions about what are the customer incentives and what influences customers to chose visiting Amazon. Ultimately we want to understand and predict how many of our customers will interact with Amazon and we want to identify insights that optimize the customer experience. This is a green-field role in an analytics team of economists, science, business intelligence and data engineering bridging between observational measurement and theoretical models. About the team You will be empowered by a large team of experienced software and data engineers that are aligned on the same mission - to measure and explain our customer experience. We lean into the exceptionally talented Economist and Science community in CBA and Stores for consultation, guidance and peer reviews. Our large analytics team is empo

The Energy Systems and Infrastructure Analysis (ESIA) division addresses energy security and environmental sustainability by analyzing the benefits and challenges of efficient energy technologies and making U.S. energy systems more sustainable and resilient. We develop and use analytic tools to help the U.S. achieve these goals. We also develop, deploy, and advance grid technologies that ensure a robust and secure U.S. grid transmission and distribution system. We collaborate with government agencies as well as companies to help move the nation toward an economy based on affordable and sustainable energy, including solar, wind, and hydropower energy. The successful postdoctoral candidate will join a team of Argonne researchers and work closely with federal agencies and other national laboratories. The successful candidate will support financial, economic, and environmental analyses of power systems with a particular focus on hydropower system. The successful candidate will develop and