About the position
We are looking for an Advanced Analytics Lead to help Airbnb enable travel for our millions of guests and hosts on our platform. This role will sit under the Advanced Analytics family and support Product and Business leaders within our CS organization. You will leverage Airbnb’s rich and unique data, state-of-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.
Responsibilities
- Data thought partner to product and business leaders across teams through providing insights, recommendations, and enabling data informed decisions.
- Drive day to day analytics and create scalable data tools.
- Identify pain points in traveling and hosting and work with product leadership to improve experiences for our guest, host and agent community.
- Drive measurements around LLMs to determine accuracy & produce actionable insights.
- Setup experiments & setup end to end launch of AI assistance.
- Lead and drive data-driven roadmaps for the CS working groups.
- Recommend actionable solutions backed by data and metrics to product problems.
- Build the business insights & reporting platform to detect and support the driving efficacy and efficiency of behaviors and product interfaces and processes across CS platform and contact center network.
- Perform data modeling of the various entities and using tools & frameworks for optimizing community and agent experiences.
- Define and evaluate key metrics in an unstructured problem space including measurement of the ML models that drive product development.
- 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.
Requirements
- A minimum of 10+ years of industry experience in business analytics.
- A degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
- Experience in ML & digital AI products - chatbot, LLMs, search & personalization expertise.
- Experience supporting community support and/or have worked closely with operations 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.
Benefits
- Base pay range of $176,000—$220,000 USD.
- Bonus eligibility.
- Equity options.
- Employee Travel Credits.
