Senior Advanced Analyst, Fraud & Safety Investigations

• Execute projects with regular direction
• Set a roadmap for projects up to a quarter ahead providing constant updates to business stakeholders, analytics management and deliver against agreed timelines
• Ensure the availability of data quality and data integrity for analysis and reporting, by blending external and internal data, working closely with global operations and India analytics functions
• Perform data modeling for the various entities involved in Airbnb including customers, hosts, cases, agents, and others using modern data modeling tools and frameworks to provide the analytical foundation
• Execute ad-hoc reporting, data investigations, and root cause analysis into various operational areas including policy incubation, enforcement efficacy, prevalence, efficiency, agent tooling, agent staffing & optimization, and agent quality & efficiency to identify and solve for operational bottlenecks and inefficiencies
• Devise business metric frameworks and optimization models to make optimal business decisions that support arguments for Airbnb’s product, operations and policy issues
• Influence data-driven decisions across global sites and business verticals in day-to-day via business reviews, self-serve portal, planning scorecards, and impact analyses among others
• Experiment with new Airbnb policy / product features to help deter and mitigate risk
• Influence machine learning models in partnership with DS / Engg teams to automate policy enforcement decisions, while enqueueing the most complex cases for manual review by agents

• 6+ years of industry experience
• Advanced degree in Business Analytics or other (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)
• Good communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment
• Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences
• Proven track record of delivering full stack data projects from inception to business impact
• Advanced level proficiency in SQL/NoSQL, programming languages such as Python, R, SAS
• Intermediate level knowledge of data foundations and databases like Presto, Hive, Teradata, Spark
• Advanced level proficiency in statistical and machine learning techniques, Tableau or similar BI platform to develop reports and dashboards
• Familiarity with EDA, hypothesis testing, significance testing, linear regression, logistic regression, SVM, ridge regression, lasso regression, random forest, basic concepts of NLP, KNN, K-Means, A/B testing, multivariate testing, and digital funnel testing
• Have a positive and solution-oriented mindset with an ability to maintain confidentiality and objectivity
• Exceptional problem-solving abilities, self-motivation and ability to work autonomously, strong organizational and time management skills, with the ability to manage multiple priorities and meet deadlines

Knowledge and experience in Fraud & Safety operations, systems and tools would be a plus

• bonus or incentives
• one or more equity programs
• benefits
• Employee Travel Credits