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Lead, Advanced Analytics, Trust & Safety

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Airbnb

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Location:
United States

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Contract Type:
Not provided

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Salary:

157000.00 - 185000.00 USD / Year

Job Description:

We are looking for an Advanced Analytics Lead to help Airbnb enable travel for our millions of guests and hosts on our platform. This role will sit under the Advanced Analytics family and support Product and Business leaders within our Fraud & Safety organization (FSO). The Fraud & Safety organization protects, guides, and mobilizes the creation and defense of trust in our community and on our platform.

Job Responsibility:

  • Lead and drive data-driven product roadmap for the FSO - Defense Platform working group
  • Recommend actionable solutions backed by data and metrics to product problems
  • Build the business insights & reporting platform to detect and support the mitigation of potential fraud behavior and actors across the Airbnb platform
  • Perform data modeling of the various entities involved in the Trust creation and defense including hosts, guests, agents, and others
  • Defining and evaluating key metrics in an unstructured problem space including measurement of the ML models that drive product development
  • Influence data-driven decisions across business verticals in day-to-day via business reviews, scorecards, self-serve portal, OKRs and planning among others
  • Influence experimentation & measurement strategies
  • conduct power analyses, define exit criteria, and use statistical models to improve inference

Requirements:

  • A minimum of 5+ years of industry experience in business analytics
  • A degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)
  • Must have experience supporting trust and safety and/or have worked closely with policy, content moderation, or security teams
  • Expert skills in SQL
  • 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, ideally in a multi-sided platform setting
  • 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, sometimes uncertain and complex environment - comfortable acting with minimal planning, direction, and supervision
  • Ability to identify issues both within and outside of your immediate scope, and propose solutions
What we offer:
  • bonus
  • equity
  • benefits
  • Employee Travel Credits

Additional Information:

Job Posted:
February 13, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:

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