Join Airbnb as a Senior Data Scientist on the Marketing Technology Team

Since its inception in 2007, Airbnb has grown from a small hosting platform in San Francisco to a global community with over 4 million Hosts and more than 1 billion guest arrivals. Our Hosts offer unique stays and experiences that enable guests to connect authentically with communities worldwide.

About the Community: Marketing Technology Team

Our Marketing Technology team is at the forefront of driving host and guest growth. We leverage data-driven marketing campaigns, reliable delivery platforms, and advanced machine learning models to enhance our reach, improve targeting, and optimize bidding strategies.

Your Impact as a Senior Data Scientist

We are seeking a talented Data Scientist to enhance our brand marketing measurement and generate insights that improve our campaign strategies. You will work with various stakeholders to plan and optimize creatives, landing pages, and more.

If you have a strong background in causal inference, Bayesian modeling, and an eagerness to refine our campaign strategies, we want to hear from you. Projects may include developing a Marketing Mix Model and designing and analyzing Quasi-experimentation.

Daily Responsibilities

• Inference: Apply causal inference methods and Bayesian regression models to assess the effectiveness of Airbnb’s advertising.
• Experimentation: Design and analyze experiments to gauge the impact of digital marketing investments.
• AI/ML: Utilize LLM to understand user travel scenarios and optimize marketing touchpoints with Reinforcement Learning.
• Insights: Produce valuable insights about customer segments and the most valuable guests to enhance ad effectiveness and optimize spend.
• Communication: Collaborate with cross-functional stakeholders to design and implement brand marketing measurement.
• Empowerment: Strategically identify opportunities to improve and scale brand measurement and customer insights.

Your Expertise

• 6+ years in a quantitative analysis role with a Master’s degree, or 4+ years with a PhD in a related field.
• Proficiency in Bayesian Modeling and causal inference methods.
• Experience with statistical programming (Python or R) and database usage (SQL).
• Strong problem-solving skills using appropriate methods and models.
• Effective communication skills to liaise with technical and non-technical stakeholders.
• Ability to translate complex findings into compelling narratives.

Preferred Qualifications

• PhD in Economics, Statistics, Marketing, or related field.
• Hands-on experience with LLM, deep learning for video and audio, and reinforcement learning.
• A passion for marketing and consumer science, along with a keen interest in applying academic research to real-world problems.

Location

This role is remote-eligible within the US. Occasional visits to an Airbnb office or offsites may be required. Ensure you reside in a state where Airbnb, Inc. has a registered entity. For an up-to-date list of excluded states, click .

Commitment to Inclusion & Belonging

Airbnb values diversity and strives to work with the broadest talent pool possible. We encourage all qualified individuals to apply, as diverse ideas foster innovation and engagement.

We also provide a disability-inclusive application and interview process. If you require reasonable accommodation to submit an application, please contact us at: . Include your full name, the role you’re applying for, and the required accommodation.

Compensation and Benefits

The base pay range for this role is $174,000—$213,500 USD. Actual pay depends on factors such as training, transferable skills, work experience, business needs, and market demands. This role may also be eligible for bonuses, equity, benefits, and Employee Travel Credits.

Application

If you’re ready to help Airbnb optimize its marketing strategies through data and insights, apply now to join our innovative team.