Airbnb Senior Data Scientist Inference Marketing Technology 

United States 

838224150

A Typical Day:

• 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 with Reinforcement Learning
• 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:

Your Expertise:

• 6+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (math / economics / statistics, and etc.), or 4+ years of experience with a Phd degree.
• Knowledge with Bayesian Modeling
• Strong knowledge of causal inference 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

Preferred qualifications

• PhD in Economics, Statistics, Marketing, or related field
• Practical experience LLM, deep learning models for videos and audios and reinforcement learning
• Passion for marketing and consumer science; a desire to keep up with and find opportunities to apply academic research