Lead, Advanced Analytics, Trust & Safety

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-the-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 complex 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 highly proficient in building and analyzing analytical frameworks, statistical models, and experimentation methods to establish and communicate causal relationships. You are a storyteller who uses complex data and insights to frame narratives to bring others along the journey.

• A Typical Day
• Lead and drive data-driven product roadmap for the Trust - Safety & Identity working groups.
• Recommend actionable solutions backed by data and metrics to product problems, with the ability to effectively communicate with Product & Engineering managers of varying technical levels.
• Build the business insights & reporting platform to detect and support the mitigation of potential fraud behavior and actors across the Airbnb platform.
• Perform data modeling of the various entities involved in Trust creation and defense, including hosts, guests, agents, and others, using tools&frameworks for optimizing community end-to-end journey by minimizing undesired frictions while introducing proactive product defenses on our platform.
• Defining and 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.
• Influence experimentation&measurement strategies; conduct power analyses, define exit criteria, and use statistical models to improve inference. Your expertise in causal inference as well as passion for the subject matter will help you address this unstructured space.
• Your Expertise
• A minimum of 5+ years of industry experience in business analytics and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research). Have experience supporting a trust and safety team and/or have worked closely with policy, content moderation, or security teams.
• Expert skills in SQL and expert in at least one programming language for data analysis (Python or R). 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).
• Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain, and complex environment - comfortable acting with minimal planning, direction, and supervision. You can identify issues both within and outside of your immediate scope and propose solutions.
• Core Skills Machine Learning, Data Modeling, SQL, Data Analysis, Python
• Other Skills R, ETL, Airflow
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