The opportunity
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences…
What you'll do
Inference: Develop and apply causal inference methods, including: experimental, econometric regressions, and quasi-experimental methods to measure a wide-range of platform/product impacts.
AI/ML: Build methods for robust evaluation of ML/AI model efficiency and: performance. Ability to identify use-cases for and develop predictive models to classify, segment, and interpret our users’ behavior. Support evaluation and optimization of agentic and LLM-based systems.
Optimization: Develop methodologies to explore/simulate the impact of new interventions and develop data products to optimize product/operational strategies.
Communication: Deliver robust research reports and effective data visualizations. Collaborate with and present to stakeholders to identify opportunities and communicate findings, and drive impact.
Empowerment: Think strategically about opportunities to improve and scale: our brand measurement and customer insights.
+ years of industry experience in a quantitative analysis role with a: Master’s degree in a quantitative field (math / economics / statistics, and etc.), or 3+ years of experience with a Phd degree.
What they're looking for
- Strong knowledge of causal inference, experimentation, applied statistical: modeling, and end-to-end ML development.
- Skilled in statistical programming (Python or R) and database usage (SQL)
- Demonstrated track record of owning a business or technical domain end-to-end: at a prior company: setting your own roadmap, being the accountable expert others escalate to, and driving a problem to resolution.
- Proven ability to communicate clearly and effectively to audiences of varying technical levels
