Lead, Advanced Analytics, CS Product

Details

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

Responsibilities

• Act as a data thought partner to product and business leaders across marketplace teams by providing insights, recommendations, and enabling data-informed decisions.
• Drive day-to-day product analytics and create scalable data tools.
• Identify pain points in traveling and hosting and work with product leadership to improve experiences for guests and hosts.
• Leverage Airbnb’s data, machine learning infrastructure, and central data science tools to build and grow measurement capacity within the organization.
• Collaborate with engineers, product managers, designers, and operations to achieve shared, cross-functional goals to keep Airbnb’s community safe and trusted.
• Lead and drive data-driven roadmaps for CS working groups; recommend actionable solutions backed by data and metrics and communicate effectively with Product, Operations & Engineering managers.
• Build business insights & reporting platforms to monitor efficacy and efficiency of behaviors, product interfaces, processes across CS platform and contact center network.
• Perform data modeling of entities and use tools & frameworks for optimizing community and agent experiences.
• Define and evaluate key metrics in unstructured problem spaces, including measurement of ML models that drive product development; communicate what moves these metrics and why.
• Influence data-driven decisions via business reviews, scorecards, self-serve portal, OKRs and planning.
• Influence experimentation & measurement strategies: conduct power analyses, define exit criteria, and use statistical models to improve inference; apply causal inference to address unstructured problems.

Requirements

• 5+ years of industry experience and a degree in a quantitative field (Masters or PhD is a plus) such as Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, or Operations Research.
• Expert communication and collaboration skills; ability to work cross-culturally and cross-functionally and to present conclusions to technical and non-technical audiences.
• Experience partnering with internal teams to drive action and providing expertise on analytics, data science, experimental design, and measurement.
• Expert skills in SQL and expert proficiency 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 on a multi-sided platform.
• Working knowledge of schema design and high-dimensional data modeling and familiarity with ETL frameworks (e.g., Airflow).
• Ability to drive data strategies and create a central source of truth to impact business decisions.
• Experience supporting community support and/or working closely with operations teams.

Location & Work Arrangement

• This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed with your manager.
• You must live in a state where Airbnb, Inc. has a registered entity (some states are excluded).

Compensation & Benefits

• Base pay range indicated: $157,000 — $185,000 USD.
• Role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Inclusion & Accessibility

• Airbnb is committed to inclusion and encourages applicants from a broad talent pool.
• Reasonable accommodations are available for candidates with disabilities via [email protected].