Lead, Advanced Analytics, Fraud and Safety Operations

🔥 1 minute ago

🏄 California – Remote

🏄 California – Remote

💵 $164k - $191k / year

⏰ Full Time

🟠 Senior

⚙️ Operations

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Airbnb

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2007

👥 B2C

🛍️ eCommerce

💰 Post-IPO Equity on 2020-12

B2C • eCommerce • Hospitality

Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.