Airbnb is seeking to optimize marketing ROI through data-informed decision-making by leveraging causal inference methodologies to estimate the effectiveness of marketing initiatives and provide actionable insights for stakeholders.
Requirements
- PhD in Economics, Statistics, Marketing, or a related field, or a Masters Degree in a similar field with 2+ years of experience.
- Deep knowledge of causal inference methodologies and experimentation techniques.
- Proficiency in statistical programming (Python or R) and database usage (SQL).
- Ability to communicate complex concepts clearly to stakeholders at varying technical levels.
- Proven track record of solving business problems through data science methods.
- PhD in Economics, Statistics, Marketing, or a related field (preferred).
- Experience with causal ML modeling (preferred).
Responsibilities
- Apply and develop causal inference methods to estimate the effectiveness of Airbnb’s marketing initiatives.
- Conduct data pulls, analyze trends, and create new features to support measurement efforts.
- Design and analyze experiments to evaluate the impact of marketing campaigns.
- Work effectively with cross-functional teams, providing insights that optimize marketing strategies.
- Lead the creation of internal white papers and contribute to Airbnb tech blog posts.
- Maintain methodological integrity and quantify the sensitivity of findings.
- Invest in advancing measurement science and developing new methods.
Other
- This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.
- You must live in a state where Airbnb, Inc. has a registered entity.
- Airbnb is committed to working with the broadest talent pool possible and encourages applications from all qualified individuals.
- The base pay range is subject to change and may be modified in the future.
- This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
