Senior Data Scientist, Inference, Marketing Technology

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 help improve 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 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: Think strategically about opportunities to improve and scale our brand measurement and customer insights

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

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. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.