Staff Data Scientist - Inference, Marketing Technology

Details

Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

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.

The Difference You Will Make:

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. 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. Examples of projects you might work on include developing Marketing Mix Model, design and analyzing Quasi-experimentation. If you’re passionate about using your skills to understand and improve the impact of our marketing, we want to hear from you.

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.
• 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

Your Expertise:

• 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.

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.

Your Location:

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. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. 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.