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.