Staff Data Scientist, Causal Inference

Role Description

You will join the Guest and Host Data Science organization, which powers products and data-driven decisions over Airbnb’s marketplace of Guest and Hosts. You will join a collaborative team of data scientists, analysts, engineers, product managers, and designers who build, launch, and iterate on our product roadmap to drive growth and deeper sophistication through experimentation, modeling, foundational tools, and insights. 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. We 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.

The Difference You Will Make

• Under this general application, you will be considered for applications over 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.
  • 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.
  • 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, 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.
  • Connect marketplace thinking, modeling, and experimentation across teams and set the technical direction for modeling and experimentation in search, ranking, and personalization.

Qualifications

• 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.
• Proven ability to communicate clearly and effectively to audiences of varying technical levels.

Location

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity.

Our Commitment To Inclusion & Belonging

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services, and solutions. All qualified individuals are encouraged to apply.

How We'll Take Care of You

• Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs, and market demands.
• The base pay range is subject to change and may be modified in the future.
• This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
• Pay Range: $200,000 — $242,000 USD.