Note: The job is a remote job and is open to candidates in USA. Airbnb operates a global marketplace connecting guests and hosts through stays and experiences. The Staff Data Scientist will lead data science initiatives across growth, pricing, marketplace optimization, and ranking, using experimentation, causal inference, modeling, and AI-enabled frameworks to guide product strategy and business decisions.
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
- This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. [Click here](https://careers.airbnb.com/) for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from
Benefits
- Remote eligible; the role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.
- This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Company Overview
Company H1B Sponsorship