About the Role
You will join the Guest and Host Data Science organization at Airbnb, which powers products and data-driven decisions across Airbnb’s marketplace of Guests and Hosts. This collaborative team consists of data scientists, analysts, engineers, product managers, and designers who build, launch, and iterate on the product roadmap to drive growth and deeper sophistication through experimentation, modeling, foundational tools, and insights. This role is crucial for ensuring Airbnb’s strategy roadmap remains highly relevant for users while supporting the long-term health of the marketplace. You will work directly with decision-makers in engineering and product to develop data-driven frameworks, technical solutions, evaluate product changes, and guide the company through rigorous measurement and modeling.
This general application will consider you for several tracks:
Growth Product Data Science
- Partner directly on growth initiatives to build, ship, measure incrementality of bookings/attach rate/revenue, and optimize 0-to-1 customer-facing features.
- Provide thought partnership with Product to define strategy, sequence iteration, scale impact via science frameworks, and act as the go-to tech lead for 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.
- Champion AI-enabled Product Understanding, to scale data-driven frameworks, robust measurement, and compelling storytelling of data learnings to guide recommendations and roadmaps with senior leaders.
Pricing Data Science
- 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.
- Craft compelling data narratives to surface actionable insights, empower data-driven decision-making, and influence the future direction of Airbnb’s pricing ecosystem.
Marketplace Optimization and Ranking
- Develop models and analytic frameworks that improve listing ranking and recommendation. 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. 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. Your work will help enable the next generation of AI-powered search experiences at Airbnb.
- Connect marketplace thinking, modeling, and experimentation across teams and set the technical direction for modeling and experimentation in search, ranking, and personalization.
Your Expertise
- Causal inference expertise.
- Experience with machine learning techniques in a marketplace product setting.
- 9+ years of relevant industry experience and a Master’s degree or PhD in a quantitative field.
- Strong coding skills in SQL and either Python or R.
- Comfort with building proof-of-concept prototypes. Passionate about AI and possessing a learner’s attitude.
- Proven ability to be driven and succeed in collaborative environments with cross-functional stakeholders and also in independent work settings. Ability to autonomously set a roadmap for business impact.
- Proven ability to communicate clearly and effectively to audiences of varying technical levels.