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Data Scientist - Inference, Community Support

Airbnb · Remote

Remote

Posted
Last confirmed open
27 Aug 2026
Work mode
remote
Source
Employer's own greenhouse feed

About the role

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. The Community You Will Join: Airbnb is a mission-driven company dedicated to creating a world where anyone can belong anywhere. Our Community Support (CS) team is at the heart of that mission—delivering seamless, 10-star customer service experiences complemented by world-class, personalized human support that empowers hosts and guests at every step of their journey. As a Data Scientist working on Causal Inference in CS, you will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operation agents to enable personalized, fair and exceptional experience for guests & hosts using advanced causal inference analysis for Community Support. The Difference You Will Make: We're looking for a motivated and talented Data Scientist with strong causal inference expertise to join the Community Support Data Science team. You'll partner closely with the area's tech lead on high-impact projects spanning AI-powered products, differentiated service, and operations optimization. The ideal candidate brings sharp applied inference intuition, a bias toward impact, and the ability to cut through ambiguity to drive clarity in complex problem spaces. You’ll work on high-impact projects like: • Design rigorous experiments & quasi-experiments to measure the causal impact of CS product launches and drive data-informed launch decisions. • Build causal ML models to optimize Make Goods budget alloca…

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Read from the employer's own job feed and last confirmed open on 27 Aug 2026. Apply through the employer — Foreland never charges a candidate and never sits between you and a hiring team. Verify any role and employer before sending personal details.