Note: The job is a remote job and is open to candidates in USA. Airbnb is a global company that has transformed the way people experience travel and hospitality. They are seeking a Lead, Advanced Analytics professional to set high analytical standards and collaborate with various teams to design systems that mitigate fraud and safety risks. This role focuses on democratizing data access, building tools for decision-making, and empowering stakeholders across the organization with actionable insights.
Responsibilities
- Build self-service data tools that empower non-technical teams to ask deep questions, run “what if” analyses, and generate actionable, data-backed outcomes without gatekeeping
- Craft compelling narratives and dashboards that surface insights to executives and cross-functional teams
- Ensure fraud and safety metrics are future-proof, scalable and supported by clear governance, ownership and automated monitoring
- Own launch and decision criteria for fraud and safety experiments by defining launch thresholds, gating metric releases on decision quality, and helping leadership make data-driven decisions
- Support external audits, law-enforcement requests, and board-level reporting with rigorous, well-governed data and clear analytical narratives
- Operationalize frameworks that instantly assess and size the platform, reputational and regulatory impact of fraud incidents, enabling rapid escalation, crystal-clear retrospectives and systematic learning
Skills
- 5+ years of experience in data analytics, fraud, safety, or a related quantitative domain, with deep individual-contributor expertise, or 2+ years of industry experience with a PhD
- Proven ownership of large-scale data products or taxonomies
- Strong SQL and data-modeling expertise; familiarity with Python/R; working knowledge of ML pipelines
- Strong experience designing experiments and applying causal inference methods, ideally in a multi-sided platform setting
- Deep understanding of how to measure rare events with statistical rigor, including prevalence estimation, sampling strategy, and statistical power
- Familiarity with account integrity, user authentication and connected-account vectors, such as social logins, device fingerprinting and related identity signals
- Skilled in incident impact scoping, post-incident analytics, scenario planning or tabletop exercises, and translating insights into systematic improvements
- Track record of enabling legal, policy, ops, product, and engineering teams to make independent, forward-facing, data-driven decisions via self-service tools
- Exceptional storyteller with the ability to make complex analytics actionable for every audience
- Prior work in marketplace, fintech, or travel/hospitality tech environments
- Familiarity with real-time decision engines, graph analytics, and anomaly-detection frameworks
- Exposure to adjacent trust / risk domains, such as identity verification, fraud, chargebacks, or financial risk management
- Graduate degree (MS/PhD) in statistics, economics, computer science, data science, operations research or another quantitative field
Benefits
- Bonus
- Equity
- Benefits
- Employee Travel Credits
Company Overview