Key job responsibilities
* Partner with economists and senior team members to drive science improvements and implement technical solutions at the state-of-the-art of machine learning and econometrics
* Partner with engineering and other science collaborators to design, implement, prototype, deploy, and maintain large-scale causal ML models.
* Carry out in-depth research and analysis exploring advertising-related data sets, including large sets of real-world experimental data, to understand advertiser behavior, highlight model improvement opportunities, and understand shortcomings and limitations.
* Define data quality standards for understanding typical behavior, capturing outliers, and detecting model performance issues.
* Work with product stakeholders to help improve our ability to provide quality measurement of advertising effectiveness for our customers.
- 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
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