Senior Data Scientist, Algorithms - Identity

• Improve on industry standards in identity verification by leveraging biometrics, NFC chips, Apple/Google integrations, and other advancements in identity verification technologies
• Build high-performing statistical models for detecting identity fraud, such as computer vision models for identifying fake or tampered images, LLMs for surfacing suspicious user account attributes, or graph-based models for uncovering hidden clusters of bad actors
• Automate and optimize human-in-the-loop ML processes for classifying fraud and generating other labels of interest for model training and evaluation
• Deploy a real-time anomaly detection system for quickly identifying emerging threats across regions, cohorts, and platforms
• Design intelligent sampling jobs for estimating rare events prevalence and other hard-to-measure metrics like recall and false positive/negative rates
• Build and deploy production AI/ML models for detecting identity fraud and improving Airbnb’s identity verification systems (feature engineering, model development + evaluation, threshold selection, error analysis, model lifecycle management)
• Conduct experiments and lead quantitative analyses for measuring impact, surfacing critical gaps, and identifying opportunities for improvement
• Develop methodologies and frameworks for analyzing the tradeoffs associated with new interventions and propose strategies for optimizing impact
• Deliver robust research reports with effective data visualizations, clear storytelling, and bullet-proof accuracy to drive forward impact in collaboration with cross-functional partners in product, engineering, and operations
• Think strategically about opportunities to improve and scale our identity verification processes and defenses

• 5+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (computer science, statistics, economics, etc.), or 2+ years of experience with a Ph.D.
• State-of-the-art knowledge of AI/ML models
• Strong knowledge of causal inference
• Skilled in statistical programming (Python or R) and database usage (SQL)
• Proven ability to communicate clearly and effectively to audiences of varying technical levels
• Ability to translate complex findings and results into compelling narratives that drive impact
• Excellent project management, communication, and collaboration skills

Trust & Safety experience is a plus

• bonus
• equity
• benefits
• Employee Travel Credits