Description We are hiring an Economist to join the Forecasting team in AWS Central Economics and Science (FACE). We are looking for an Economist in the Forecasting, Macroeconomics, and Finance (FMF) track to help us develop and deploy forecasting models and carry out analyses that support critical processes at AWS. An ideal candidate has expertise in time series forecasting, strong technical and communication skills, and is excited about combining the latest times-series statistical methods with strong economic analysis and intuition. You will collaborate with other members in the team and with customers to develop model-based solutions for business questions. Your contributions will help drive data- and science-informed decision-making. Key job responsibilities * Apply and develop scalable state-of-the-art methods in time-series econometrics to solve business questions. * Translate business questions and concerns into specific quantitative questions that can be answered with available data and rigorous science. * Partner with scientists and data engineers to deploy models to production. * Communicate results to customers and provide scientific guidance to senior leadership through written and verbal presentations. A day in the life AWS Central Economics takes big swings and works on hard cross organizational problems where the optimal success rate is not 100%. We also ask people to grow their skills and stretch and make sure we do it in a supportive and fun environment. It’s about empirically measured impact, advancement, and fun on our team. We work hard during work hours but we also don’t encourage working at nights or on weekends except in very rare, high stakes cases. Burn out isn’t a successful long run strategy. Because we invest in the long run success of our group it’s important to have hobbies, relax and then come to work refreshed and excited. It makes for bigger impact, faster skill accrual and thus career advancement. About the team FACE is the Forecasting team in AWS Central Economics and Science. We provide AWS leadership, Finance, and Planning teams with science-based forecasts and analysis to optimize financial and operational planning at various levels of granularity. Our models implement frontier science at the intersection of economics, statistics and machine learning. The output of our models and analyses supports critical processes at AWS such as Operational Planning and Quarterly Guidance. We are a close-knit, highly collaborative, and interdisciplinary team of scientists who are experts in their respective fields. Basic Qualifications - PhD in economics or equivalent Preferred Qualifications - Experience in time series forecasting, Bayesian econometrics, and state space modelling in a research or industrial environment - Experience with Python and Git. - Ability to work in a fast-paced environment - Time management skills and the ability to balance priorities to achieve individual and team deliverables within established deadlines and customer needs - Ability to follow directives, feedback and collaborate with principals/senior scientists to meet expectations and deliver high-quality work - Effective verbal and written communication skills with both scientist and business audiences and the ability to develop and define key business questions - Experience working in a production environment - Experience with AWS cloud infrastructure Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.