Data Scientist - Algorithms, Community Support
Airbnb
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About the role
Role Overview
Airbnb is looking for a Data Scientist (Algorithms, Community Support) to build LLM/ML-powered solutions for the Community Support (CS) team. You’ll work with engineers, product managers, designers, and operations agents to enable personalized, fair, and exceptional guest and host experiences.
Responsibilities
- Automate LLM evaluation using advanced techniques with high efficiency and quality.
- Curate and scale synthetic datasets across CS domains for training and evaluation.
- Build LLM/ML models to understand customer issues from diverse datasets and identify failure modes and improvement opportunities.
- Develop personalization models to deliver differentiated experiences and maximize business impact.
- Translate business needs into scientific formulations and run data exploration and model prototyping.
- Analyze structured and unstructured data to produce actionable insights.
- Build and deploy production LLM/ML models that support data-driven product launches.
- Partner cross-functionally (Product, Design, Engineering, Operations, Analytics) and communicate learnings to influence stakeholder decisions.
- Contribute to scaling and evolving data science capabilities within the domain.
Requirements
- 2+ years of relevant industry experience (e.g., data/ML scientist, tech lead, junior faculty).
- Master’s or PhD in a relevant field.
- State-of-the-art knowledge of AI/ML models.
- Strong fluency in Python/R and SQL.
- Ability to communicate effectively across different technical levels.
- Strong project management, collaboration, and stakeholder communication skills.
- Product-oriented mindset with strong understanding of user experience.
Nice to Have
- Causal inference / observation causal inference skills.
Location / Work Style
- US - Remote Eligible, with occasional Airbnb office work or offsite attendance.
About Airbnb
Airbnb is a global marketplace for lodging and experiences, connecting hosts and guests across nearly every country. The company’s mission is to help people belong anywhere, supported by a focus on community and personalized experiences. This role sits within the Community Support team, which combines seamless customer service with human support for hosts and guests.
Scraped 7/16/2026