Greenhouse ·
full-timeStaff Data Scientist, Guest & Host
Airbnb · United States
Airbnb operates a global marketplace connecting hosts with guests for unique stays and experiences. As a Staff Data Scientist within the Guest and Host organization, you will play a critical role in shaping the platform's product roadmap through advanced analytics, experimentation, and modeling. This senior-level position involves collaborating with cross-functional teams, including product managers and machine learning engineers, to drive decisions across three primary domains: growth, pricing, and marketplace optimization. Your day-to-day responsibilities will include building causal inference models to measure customer intent, developing pricing guidance systems to balance supply and demand, and designing ranking frameworks to improve search personalization. You will act as a technical lead, translating complex data into actionable strategies that influence long-term marketplace health. This role is well-suited for a seasoned data scientist who possesses a strong background in AI-enabled product development, rigorous experimentation, and the ability to communicate technical insights to senior leadership. Candidates should be comfortable navigating large-scale marketplace dynamics and be committed to enhancing the end-to-end user experience through data-driven innovation.
Education
- Level: Bachelor's degree
Key Skills
About the Role Airbnb is seeking a Staff Data Scientist to join the Guest and Host Data Science organization. The role involves collaborating with data scientists, analysts, engineers, product managers, and designers to drive growth, improve pricing, optimize marketplace ranking, and build AI‑enabled product frameworks. Responsibilities - Partner with product teams on growth initiatives, building and measuring impact of bookings, revenue, and customer‑facing features. - Develop causal inference models to understand guest intent and create data products for impact measurement. - Lead AI‑enabled product understanding, scaling measurement frameworks and storytelling for senior leaders. - Design and implement pricing guidance systems, experimental methods, and pricing strategy recommendations. - Build foundational models and experimental approaches to balance supply and demand. - Create ranking and recommendation models, incorporating marketplace dynamics and collaborating with ML engineers. - Design experiments and evaluation frameworks for search and AI‑driven product improvements. - Craft data narratives to surface actionable insights and influence product direction. Requirements - Strong curiosity, optimism, and relentless drive for innovation using AI tools. - Ability to lead technical direction for modeling and experimentation in search, ranking, and personalization. - Excellent communication skills to convey data insights to senior stakeholders. - Proven experience in data‑driven decision making, experimentation, and building scalable data products.
Skills for this role
Required skills
Also mentioned in the listing
| Role | Staff Data Scientist, Guest & Host |
|---|---|
| Company | Airbnb |
| Location | United States |
| Compensation | Not disclosed |
| Posted | 2026-09-29 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4About Airbnb
Airbnb is a global platform that facilitates travel and accommodation by connecting guests with hosts. Since its inception in 2007, the company has grown from its first three guests to hosting 1.5 billion arrivals. The platform operates through a network of 5 million hosts who provide lodging options to travelers worldwide. Airbnb maintains a global creative community and emphasizes a flexible work environment for its employees, allowing them to live and work in various locations where regulations permit.
More at Airbnb
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