Causal Inference: Apply and develop causal inference methods to measure marketing effectiveness.
Data Analysis: Conduct data pulls, analyze trends, and create new features for measurement.
Experimentation: Design and analyze experiments to evaluate marketing campaigns.
Collaboration: Work with cross-functional teams to optimize marketing strategies.
Thought Leadership: Lead internal white papers and contribute to Airbnb tech blog posts.

🎯 Requirements

PhD in Economics, Statistics, Marketing, or related field; Masters with 2+ years.
Deep knowledge of causal inference and experimentation techniques.
Proficiency in Python or R, SQL, and coding.
Ability to explain complex concepts to stakeholders at varying levels.
Proven track record of solving business problems with data science.
Familiarity with Bayesian modeling and causal ML.

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