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Airbnb Senior Analyst Advanced Analytics Trust & Safety 
United States 
633240700

21.05.2025

The Difference You Will Make:

You will be a part of a Trust product & operations data squad composed of product managers, engineers, ops analysts, data analysts and data scientists designing and building scalable and robust products and systems to detect and support the mitigation of fraud activities across the entire platform (Account Integrity, Content Integrity, Financial Fraud, Safety, Identity etc.). You will both develop and support the creation of robust data insights through cross-functional partnerships, and will utilize and help to strengthen and improve the end-to-end trusted user journey (pre-trip, on-trip and post-trip). You will create data narratives and influence experimentation platforms to guide the seamless execution of new products, processes and systems, balancing the safety and expression needs of our community and business and operational challenges.

In addition, you will leverage Airbnb’s rich and unique data, state-of-art machine learning infrastructure, and other central data science tools to build and grow the measurement capacity within the organization. You will also be deeply involved in the technical details of the various systems we build, and will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operations agents to achieve shared, cross-functional goals to help keep Airbnb’s community safe and trusted.

  • You are passionate about solving problems within the Trust & Safety domain with data & insights; adding a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis
  • You are proficient in building and analyzing analytical frameworks, statistical models and experimentation methods to establish and communicate causal relationships
  • You are a storyteller who uses data and insights to frame narratives to bring others along the journey

A Typical Day:

  • Support data-driven product roadmap for the Trust - Safety & Identity working groups. Recommend actionable solutions backed by data and metrics to product questions, with the ability to communicate with Product & Engineering stakeholders
  • Deliver the business insights & reporting on detection and mitigation of potential unsafe 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 using tools & analytics frameworks minimizing undesired frictions while introducing proactive product defenses on our platform
  • Evaluating key metrics in an unstructured problem space including measurement of the ML models that drive product development. Communicating a robust understanding of what moves these metrics and why
  • Influence data-driven decisions across business verticals in day-to-day via business reviews, scorecards, self-serve portal, OKRs and planning among others

Your Expertise:

  • A minimum of 3+ years of industry experience in business analytics and a degree (Masters is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
  • Have experience supporting trust and safety team and/or have worked closely with policy, content moderation, or security teams
  • Proficient in developing SQL and in at least one programming language for data analysis (Python or R).
  • Experience with JIRA, particularly building data pipelines that utilize JIRA data and processes.
  • Demonstrated ability to create and drive data views and analysis for the business, and help teams execute against them
  • 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) – preferred

How We'll Take Care of You:

Pay Range
$155,000 USD

Offices: United States