Staff Data Scientist, Airbnb

• The ideal candidate will have a strong knowledge of causal inference, understanding of Bayesian modeling and its application in marketing, the ability to work effectively with multiple stakeholders, and an eagerness to improve our campaign strategies
• If you’re passionate about using your skills to understand and improve the impact of our marketing, we want to hear from you
• 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

Desirable

• The Marketing Technology team is responsible for driving host and guest growth
• We do this through devising data-driven marketing campaign strategies, reliable campaign delivery platforms, and advanced machine-learning models
• We build products that allow us to reach more audiences, improve our targeting, and optimize our bidding
• We are looking for a Data Scientist to drive improvement of our measurement of brand marketing and develop insights that support how we plan and optimize campaigns, such as creatives, landing pages etc
• Examples of projects you might work on include developing Marketing Mix Model, design and analyzing Quasi-experimentation
• Inference: Apply or develop causal inference methods, bayesian regression models to estimate the effect of Airbnb’s online and offline advertising
• Experimentation: Design and analyze experiments to measure the effectiveness of our digital marketing spend
• AI/ML: Use LLM to understand user travel scenarios and preferences and optimize marketing touch points
• Insights: Generate insights about customer segments and the company's most valuable guests to improve ad effectiveness and optimize spend
• Communication: Work closely with a range of stakeholders to design and implement measurement of brand marketing campaigns
• Empowerment: Think strategically about opportunities to improve and scale our brand measurement and customer insights