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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 critical business decisions. You'll leverage your expertise in applied econometrics and causal machine learning to optimize product portfolios and tackle complex analytical challenges. The position offers the chance to work with large datasets and cutting-edge methodologies in a vibrant, inclusive environment that values innovative thinking. If you're passionate about data-driven decision-making and ready to make a significant impact, 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
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.
Posted: March 26, 2025 (Updated about 12 hours ago)