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Airbnb
Airbnb Data Scientist – Inference, Community Support Recruitment 2026: Apply Online
Data Scientist – Inference, Community Support
Experience Required
2+ years
Salary / Package
Competitive Base Pay + Equity + Bonus + Employee Travel Credits
Work Mode
Remote Eligible
Openings
Not Disclosed
Job Overview
Airbnb is a mission-driven company dedicated to creating a world where anyone can belong anywhere. The Community Support (CS) team delivers 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 Community Support, you will collaborate with engineers, product managers, designers, and operation agents to enable personalized, fair, and exceptional experiences for guests and hosts using advanced causal inference analysis.
Key Responsibilities & Scope of Work
- Design Experiments & Quasi-Experiments: Measure the causal impact of CS product launches and drive data-informed launch decisions across the platform.
- Build Causal ML Models: Develop and deploy predictive and causal machine learning models to optimize budget allocations (e.g., Make Goods) and maximize business impact.
- Conduct Long-Term Impact Analysis: Quantify the long-term effects of product changes and uncover heterogeneous treatment effects across user segments.
- Deliver Strategic Insights: Provide clear trade-off analyses on quality, cost, and user experience to empower leadership decision-making.
- Cross-Functional Collaboration: Work alongside Product, Design, Engineering, Operations, and Analytics teams to scale data science capabilities within your domain.
Candidate Profile & Qualifications
The ideal candidate brings sharp applied inference intuition, a bias toward business impact, and the ability to cut through ambiguity in complex problem spaces. Strong candidates will possess deep quantitative training coupled with hands-on experience deploying models to production environments.
Key Job Details
| Company Name | Airbnb |
| Job Role | Data Scientist – Inference, Community Support |
| Experience | 2+ years |
| Salary Range | Competitive Base Pay + Equity + Bonus + Employee Travel Credits |
| Job Type | Full Time |
| Work Mode | Remote Eligible |
| Openings | Not Disclosed |
| Job Location | US – Remote Eligible (United States) |
Key Responsibilities
- Design and implement causal inference frameworks and statistical models to measure the impact of interventions.
- Build, evaluate, and iterate on causal ML models powering high-stakes business decisions.
- Develop optimization frameworks to evaluate tradeoffs between accuracy, coverage, user experience, and operational costs.
- Build strong collaborative relationships across Product, Design, Engineering, Operations, and Analytics.
- Communicate complex findings clearly to stakeholders to drive data-informed strategies.
- Contribute to the long-term vision and scalability of data science capabilities within Community Support.
Requirements & Qualifications
- 2+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (Statistics, Economics, Computer Science, etc.), OR a PhD in relevant fields.
- Strong knowledge of causal inference methods and experimental design.
- Strong knowledge of Bayesian modeling and statistical inference.
- Hands-on experience building and deploying statistical or ML models in production environments.
- Proficiency in statistical programming using Python or R, alongside complex SQL database querying.
- Proven capability to translate complex technical findings into compelling narratives for broad audiences.
- Residency in an eligible US state where Airbnb maintains a registered legal entity (Alaska, Mississippi, and North Dakota are currently excluded).
Required Skills
- Causal Inference & Quasi-Experimentation
- Experimental Design & A/B Testing
- Bayesian Modeling & Statistical Inference
- Causal Machine Learning & Uplift Modeling
- Python / R Programming
- SQL & Data Warehousing
- Cross-Functional Technical Leadership
About Airbnb
Airbnb was founded in 2007 and has grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Airbnb offers unique stays and experiences that connect guests with local communities in an authentic manner.
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Frequently Asked Questions
Q: What is the post title and department for this job opening?
A: The post is Data Scientist – Inference, working within the Community Support (CS) Data Science team at Airbnb.
Q: What are the educational requirements?
A: Candidates need a Master’s degree in a quantitative field with 2+ years of industry experience, or a PhD in a relevant quantitative field.
Q: Is this role eligible for remote work?
A: Yes, this position is US – Remote Eligible, provided you reside in an eligible state where Airbnb has a registered legal entity.
Q: What core technical skills are required?
A: Strong expertise in causal inference, experimental design, Bayesian modeling, statistical programming (Python/R), and database queries (SQL).
Q: How do I submit my application?
A: You can apply online directly through the official Airbnb careers portal link provided.
Disclaimer: This job post is prepared by collecting data from the official career page of Airbnb. We are not direct recruiters or representatives. Candidates should carefully review the requirements and policies on the company’s portal before initiating an application.