Master's degree in Economics, Marketing, or a related field with an emphasis on industrial organization, econometrics, and quantitative methods or equivalent practical experience.
4 years of experience in evaluating economic impacts, such as labor, productivity, and inequality, and comprehension of the economic principles underlying Artificial Intelligence and machine learning.
Experience in pricing theory and strategy, with conjoint analysis, price elasticity, and optimal pricing models.
Preferred qualifications:
PhD in Economics, Marketing, or a related field with an emphasis on industrial organization, econometrics, and quantitative methods.
2 years of experience in academia or appropriate industry roles.
Experience in statistical software packages (e.g., R, Stata, Python) and working with large datasets.
Experience in market design, including the theoretical foundations and practical implementation of various market mechanisms.