Advanced Analyst

About Airbnb

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 more than 100,000 cities and towns located in 220+ countries and regions across the globe. Every day, Hosts offer unique stays and one-of-a-kind activities that make it possible for guests to experience the world in a more authentic, connected way.

Airbnb was born with a creative spirit, and it’s one of the most defining parts of our culture. We use our curiosity and imagination to come up with unconventional solutions. These are the ideas at the core of Airbnb:

• Our community is based on connection and belonging.
• Our creativity allows us to imagine new possibilities for people.
• Our responsibility is to all of our stakeholders.

It takes a unified team committed to our core values to embody these ideas, and our fast-moving team is committed to leading as a 21st-century company.

The Team: Fraud & Safety Organization (FSO) Advanced Analytics

We’re hiring a data scientist/advanced analyst within the Fraud & Safety Organization (FSO) to support Product, Operations, and Policy leaders. The FSO Advanced Analytics team drives data-informed decision-making to protect trust across the platform by embedding measurement, experimentation, and insights into product defenses and user journeys.

As an Advanced Analyst, you’ll partner with product managers, engineers, data scientists, and operations teams to design scalable systems that detect and mitigate fraud across domains. You’ll shape trusted user journeys across pre-trip, on-trip, and post-trip experiences, build compelling data narratives, and strengthen measurement and experimentation practices using Airbnb’s rich data and ML infrastructure.

What You’ll Do as an Advanced Analyst

• Lead data-driven product strategy for the FSO Defense Platform.
• Build insights and reporting to detect and mitigate fraud at scale.
• Define and evaluate metrics, including ML model performance.
• Influence experimentation, causal inference, and measurement strategy.
• Drive decision-making through reviews, scorecards, OKRs, and planning.
• Build insightful dashboards for stakeholders.
• Organize and give direction to people and teams for highly visible and critical programs within Trust, running standups, keeping team updates.
• Determine and define project scope and objectives, determine resources needed, track progress, communicate progress.
• Develop and manage a detailed project schedule and work plan, monitor and report risks, etc.

Your Background

• 5+ years in analytics; advanced degree in a quantitative field preferred.
• Expert in SQL and Python.
• Strong in experimentation design and power analysis.
• Solid understanding of machine learning models and evaluation performance.
• Familiar with ETL frameworks and large-scale data modeling.
• Comfortable operating in ambiguity and driving solutions end-to-end.
• Experience in Trust & Safety is a plus.

Key skills/competency

• Data Analysis
• Fraud Detection
• SQL
• Python
• Experimentation Design
• Machine Learning
• ETL Frameworks
• Data Modeling
• Product Strategy
• Risk Mitigation