Amazon Economist Ads Measurement Science 

United States, New York, New York 

274184686

Key job responsibilities
Leverage deep expertise in causal inference to develop robust, causally grounded ads measurement solutions
Disambiguate problems to propose clear evaluation frameworks and success criteria
Work autonomously and write high quality technical documents
Partner closely with other scientists to deliver large, multi-faceted technical projectsCommunicate clearly to both technical and non-technical audiences and leadersMentor more junior scientists and participate in the hiring process

- PhD in economics or equivalent
- Experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with large-scale, complex datasets
- Experience in implementing modern machine-learning methods (e.g., boosted regression trees, random forests, neural networks)
- Deep expertise in causal inference, with articles published in peer-reviewed econometrics journals.
- Proficiency in Python or a related programming language.

- Experience with handling of large datasets
- Experience in the advertising industry or closely related problems.