Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.
Expect ML fundamentals, A/B testing, ranking/classification tradeoffs, and case-style questions on community trust or support prioritization. Practice explaining model choices and metrics to non-ML partners. Company background: marketplace broker founded 2008.
Strong fit if you want remote algorithm work that ties ranking and measurement to community support at a global stays platform. Weak fit if you need on-site culture cues or published pay bands—those are not in the data.
As a Data Scientist focused on algorithms and community support at Airbnb, a typical day would center on modeling and ranking problems that affect host–guest experiences: experiment design, feature work, and metrics that surface safer, fairer, or more helpful community outcomes. Collaboration would likely span product, support operations, and engineering around booking-marketplace signals—not invented team structure, just the title’s scope at a homestay marketplace.
Prioritize solid probability/stats, experimentation, and production-minded modeling; plus product sense for two-sided marketplaces. No certification family or priced cert resources were provided.
Yes. The listing is remote with location “Anywhere in the World.”
It runs a marketplace for stays, experiences, and services and earns commission on bookings (Wikipedia).
No cert family or costed resources were supplied for this occupation.
Website: airbnb.com
Airbnb, Inc. is an American company operating an online marketplace for short-and-long-term homestays, experiences and services in various countries and regions. It acts as a broker and charges a commission from each booking. Airbnb was founded in 2008 by Brian Chesky, Nathan Blecharczyk, and Joe Gebbia.
Public cache only — not an employee review.
Data Scientist - Algorithms, Community Support at Airbnb | Anywhere in the World | Full Time | Remote What This Role Involves As a Data Scientist working on Algorithms for Community Support (CS) at Airbnb, you will collaborate with a strong team of engineers, product managers, designers, and operation agents to enable personalized, fair, and exceptional experiences for guests & hosts using advanced LLM/ML modeling. You will have the opportunity to tackle significant components of high-impact projects that directly shape our AI-powered products, differentiated service experiences, and operational optimization strategies. Day-to-Day Responsibilities Implement advanced techniques to automate the LLM evaluation process with high efficiency and quality. Analyze data to identify trends, patterns, and insights that inform product development and operational improvements. Develop and maintain machine learning models that enhance community support experiences for both hosts and guests. Work closely with the tech lead to define project scopes, timelines, and deliverables. Contribute to the design of experiments and testing frameworks to validate model performance and impact. What We're Looking For We are seeking a talented Data Scientist with LLM/ML expertise who is passionate about building scalable, scientific solutions. The ideal candidate should combine deep technical fluency in LLM/ML with a bias toward action and impact, comfort with ambiguity, and a commitment to creating exceptional customer experiences. About the Company Headquartered in San Francisco but operating globally, Airbnb was born in 2007 when two hosts welcomed three guests to their home. Today, we connect over 5 million hosts who have welcomed more than 2 billion guest arrivals across nearly every country on Earth. Our mission is to create a world where anyone can belong anywhere. The Community Support (CS) team at Airbnb is dedicated to delivering seamless and personalized support experiences for our community. How to Apply To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
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