Note: The job is a remote job and is open to candidates in USA. Airbnb, founded in 2007, has grown to over 5 million hosts and 2 billion guest arrivals globally. The company is seeking a Staff Data Scientist to join their Guest and Host Data Science organization, focusing on growth initiatives, pricing strategies, and marketplace optimization through data-driven frameworks and modeling. The role involves collaboration with cross-functional teams to enhance product features and drive business growth.

Responsibilities

• Partner directly on growth initiatives to build, ship, measure incrementality of bookings/attach rate/revenue, and optimize 0-to-1 customer-facing features
• Thought partnership with Product to define strategy, sequence iteration, scale impact via science frameworks and as the go-to tech lead around data, experimentation, and domain understanding
• Build observational causal inference models to deeply understand guest intent, identify underlying mechanisms, and build data products to measure impact, and inform feature objectives and tradeoffs
• Champion AI-enabled Product Understanding, to scale data-driven frameworks, robust measurement, and compelling storytelling of data learnings to guide recommendations and roadmaps with senior leaders
• Develop a pricing guidance system for hosts as well as experimental and observational methods to measure the impact of pricing feature launches
• Collaborate with product and cross-functional teams to pioneer pricing strategies and translate advanced modeling into actionable recommendations
• Develop foundational models and experimental approaches that balance supply and demand in the marketplace, leveraging empirical methods to assess and iterate on pricing feature impact
• Craft compelling data narratives to surface actionable insights, empower data-driven decision making and influence the future direction of Airbnb’s pricing ecosystem
• Develop models and analytic frameworks that improve listing ranking and recommendation. This includes incorporating marketplace dynamics such as listing availability, supply quality, and long-term ecosystem health into ranking decisions
• Partner closely with Machine Learning Engineers and Product to launch high-impact search improvements. Design experiments and evaluation frameworks to understand the impact of search and AI-driven product improvements
• Build scalable data products and modeling pipelines that power ranking features, query understanding, and personalization. Your work will help enable the next generation of AI-powered search experiences at Airbnb
• Connect marketplace thinking, modeling, and experimentation across teams and set the technical direction for modeling and experimentation in search, ranking and personalization

Skills

• Causal inference expertise. Experience with machine learning techniques in a marketplace product setting
• 9+ years of relevant industry experience and a Master's degree or PhD in a quantitative field
• Strong coding skills in SQL and either Python or R
• Comfort with building proof-of-concept prototypes. Passionate about AI and possessing a learner's attitude
• Proven ability to be driven and succeed in collaborative environments with cross-functional stakeholders and also in independent work settings. Ability to autonomously set a roadmap for business impact
• Proven ability to communicate clearly and effectively to audiences of varying technical levels

Benefits

• This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Company Overview

Company H1B Sponsorship