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An established industry player is seeking a talented Economist II to join their Customer Behavior Analytics team. This role involves collaborating with scientists and engineers to develop causal models that support business decisions. You'll leverage your expertise in applied econometrics and causal machine learning to tackle complex challenges, optimizing retail product portfolios and working with large datasets. This position offers the chance to be at the forefront of innovative modeling techniques while contributing to impactful business strategies. If you're passionate about data and decision-making, this opportunity is perfect for you.
Job ID: 2935940 | Amazon.com Services LLC
Economists in CBA work collaboratively with other Scientists and Engineers to build causal models supporting business decision making. We are looking for an individual with expertise in applied econometrics and causal machine learning to help our team design and implement solutions to answer challenging questions such as optimizing Amazon’s portfolio of retail products. 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 to build scalable models at the forefront of causal ML/AI and dynamic causal methods, and apply these to large scale datasets.
- PhD in economics or equivalent
- 2+ years of industry, consulting, government, or academic research experience
- Knowledge of at least one statistical software package such as R, Stata, Matlab, SAS
- Experience in prediction and forecasting in a research or industrial environment
- Experience with handling of large datasets
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 here for more information.
This position will remain posted until filled. Applicants should apply via our internal or external career site.