Summary
Join our Marketing Technology team as a Data Scientist to drive improvement of our measurement of brand marketing and develop insights that support how we plan and optimize campaigns.
Requirements
- 9+ years of relevant industry experience (e.g. ML scientist, tech lead, junior faculty) and a Master’s degree or PhD in a quantitative field
- Strong fluency in Python or R for hands-on IC work and advanced data analysis in SQL at scale
- Proven mix of strong intellectual curiosity with high level of pragmatism and engagement with the technical community, that demonstrates an eagerness to learn and share
- Comfort to collaborate with product managers and software engineers to design and understand complex systems
- Knowledge with Bayesian Modeling, MMM and multi-sided markets
- Strong knowledge of causal inference, statistics and experimentation
- Skilled in statistical programming (Python or R) and database usage (SQL)
- Ability to solve business problems using appropriate methods and models
- Ability to communicate clearly and effectively to cross functional partners of varying technical levels and drive impact
- Ability to translate complex findings and results into a compelling narrative. Proven ability to communicate clearly and effectively to audiences of varying technical levels
Responsibilities
- Apply or develop causal inference methods, bayesian regression models to estimate the effect of Airbnb’s online and offline advertising
- Design and analyze experiments to measure the effectiveness of our digital marketing spend
- Use LLM to understand user travel scenarios and preferences and optimize marketing touch points
- Generate insights about customer segments and the company's most valuable guests to improve ad effectiveness and optimize spend
- Work closely with a range of stakeholders to design and implement measurement of brand marketing campaigns
- Think strategically about opportunities to improve and scale our brand measurement and customer insights
Preferred Qualifications
- PhD in Economics, Statistics, Marketing, or related field
- Passion for marketing and consumer science; a desire to keep up with and find opportunities to apply academic research
Benefits
- Bonus
- Equity
- Benefits
- Employee Travel Credits