Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. It takes a unified team committed to our core values to achieve this goal. Airbnb's various functions embody the company's innovative spirit and our fast-moving team is committed to leading as a 21st century company.

Policy & Communications is at the heart of how Airbnb works with communities and stakeholders around the world.  We're accepting applications for a position as a Staff Data Scientist supporting this team to ensure these engagements are data-driven.

Candidates should have a sound background in data analytics and modeling, and demonstrated skill in organizing, communicating, and presenting analysis via visualizations, dashboards, maps, and other reporting tools.

The position offers an opportunity to provide meaningful insights both within Airbnb and to communities across the world. As a result, the role requires working with cross-functional partners throughout the organization (policy/comms, business, legal, finance, data science), as well as external partners outside of Airbnb (experts, academics, policy-makers, media).  Candidates should be able to navigate these environments, operating independently and driving their own agenda, but must also work well with partners. A teamwork mentality and “no task too big or too small” attitude is key.

The scope of work includes quantitative analysis of high-impact, high-visibility topics including housing, tourism, economic development/impact, taxes, and regulation. Because of this visibility, translation of sometimes complex analyses into accessible and scalable resources is key. You will not only be the trusted analytics expert on the team, but also a storyteller.



  • Regulatory impact analysis and modeling, as well as guidance to policy team members
  • Collaboration with academics and experts on policy research topics
  • Mapping and spatial analysis of data
  • Amazing visualizations to convey key concepts.
  • Converting insights into “Data Journalism” useful for our communications team
  • Dashboards and other tools to scale data usage across a large org


Qualifications and expectations of this role include: 

  • Advanced degree in a quantitative field.
  • 6+ years experience in data analysis and modeling.
  • Ability to perform complex strategic analysis. 
  • Excellent project management, communication, and teamwork skills
  • Causal inference techniques (e.g. econometric regressions & quasi-experimental techniques)
  • Knowledge of data tools including: R/Python, SQL, Data Visualization, GIS, Excel
  • Exposure to the policy and economics domain, or adjacent domains
  • Proven experience in creating clear, useful data dashboards
  • Enthusiasm for the policy & communications space.