Economist, Switchback

- PhD in Economics or in closely related field is required
Are you passionate about innovation? Are you Customer Obsessed? We are looking for a passionate, talented, and inventive Economist with expertise in applied econometrics and causal machine learning to help the Switchback design and implement solutions to answer challenging questions such as optimizing Amazon’s portfolio of retail products Switchback's mission is to empower Amazon teams to make rapid, data-driven decisions on product content optimization. We are building innovative approach to product content experimentation at Amazon scale, also through partnerships with Amazon technical teams around the world including Central organizations. You will with other Scientists and Software Engineers to build causal models supporting business decision making. You will collaborate with recognized experts in business, science and engineering. You will work closely with our business partners to define requirements, propose and review modeling approaches, prototype code and deep dive on analyses to help inform decision making. You will have the opportunity work with the largest online retail search application in the world, both in terms of users, catalogue size, and computing resources, to build scalable models at the forefront of causal ML/AI and dynamic causal methods, and apply these to large scale datasets.