Tech Stack

Description

As an Advanced Analytics Lead on the Fraud Safety team, you will drive data-informed product decisions, build measurement frameworks, and communicate insights across cross-functional teams to protect Airbnb's community. You'll leverage your expertise in analytics, experimentation, and causal inference to shape the trusted user journey.

Requirements

• Minimum 5+ years of industry experience in business analytics.
• Degree (Masters or PhD preferred) in a quantitative field (Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
• Experience supporting trust and safety or working with policy, content moderation, or security teams.
• Expert skills in SQL and expert in at least one programming language for data analysis (Python or R).
• Experience with non-experimental causal inference methods, experimentation, and machine learning techniques.
• Working knowledge of schema design and high-dimensional data modeling (ETL framework like Airflow).
• Ability to work under conditions of ambiguity in a fast-growth environment.

Responsibilities

• Lead and drive data-driven product roadmap for the Fraud Safety organization's Defense Platform working group.
• Recommend actionable solutions backed by data and metrics to product problems.
• Build the business insights reporting platform to detect and mitigate potential fraud behavior.
• Perform data modeling of entities involved in trust creation and defense.
• Define and evaluate key metrics, including measurement of ML models.
• Influence data-driven decisions via business reviews, scorecards, OKRs, and planning.
• Influence experimentation measurement strategies; conduct power analyses, define exit criteria, and use statistical models.