Airbnb
Staff Data Scientist, Guest & Host
United States · Staff+
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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.
- Our work is core to ensuring that Airbnb's strategy roadmap stays highly relevant for our users while supporting the long-term health of our marketplace.
Responsibilities
- Partner directly on growth initiatives to build, ship, measure incrementality of bookings/attach rate/revenue, and optimize 0-to-1 customer-facing features
- Thought partnership with Product to define strategy, sequence iteration, scale impact via science frameworks and as the go-to tech lead around data, experimentation, and domain understanding
- Build observational causal inference models to deeply understand guest intent, identify underlying mechanisms, and build data products to measure impact, and inform feature objectives and tradeoffs
- Develop a pricing guidance system for hosts as well as experimental and observational methods to measure the impact of pricing feature launches.
- Collaborate with product and cross-functional teams to pioneer pricing strategies and translate advanced modeling into actionable recommendations
- Develop foundational models and experimental approaches that balance supply and demand in the marketplace, leveraging empirical methods to assess and iterate on pricing feature impact
- Develop models and analytic frameworks that improve listing ranking and recommendation.
- Design experiments and evaluation frameworks to understand the impact of search and AI-driven product improvements.
- Build scalable data products and modeling pipelines that power ranking features, query understanding, and personalization.
- Comfort with building proof-of-concept prototypes.
Requirements
- 9+ years of relevant industry experience and a Master's degree or PhD in a quantitative field
Compensation
- $200,000 - $242,000 USD
- We'll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process.
Benefits
- This includes incorporating marketplace dynamics such as listing availability, supply quality, and long-term ecosystem health into ranking decisions.
- Partner closely with Machine Learning Engineers and Product to launch high-impact search improvements.
- Experience with machine learning techniques in a marketplace product setting
Company info
- We strive to also provide a disability inclusive application and interview process.
- Pay Range $200,000 - $242,000 USD Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities.
Equal opportunity
- Airbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer.
- All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic.
- How We'll Take Care of You:
- Our job titles may span more than one career level.
This listing is sourced directly from Airbnb's careers page and normalized into a canonical job model.