Airbnb is hiring a

Senior Data Scientist - Analytics, Airbnb.org

Seattle, United States

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.

About Airbnb.org

Our community of hosts believes that everyone should have a safe place to call home. Inspired by their actions, we established Airbnb.org, a 501(c)(3) separate and independent nonprofit organization, which has helped provide safe housing for over 75,000 people to date in response to hundreds of emergency events around the world including hurricanes, wildfires, refugee crises, and a global pandemic. The Airbnb.org team within Airbnb works in support of the Airbnb.org non-profit. We believe everyone has something to share and build tools that enable impactful individual generosity at scale.  

We’re looking for a Data Scientist to join the Airbnb.org team. You will lead the development of analytical models, reporting, and insights to amplify the reach and performance of Airbnb.org’s mission. 

Responsibilities

  • Defining key metrics (internal goals & public facing metrics)
  • Creating business critical dashboards
  • Investigating challenging questions around Airbnb.org’s users’ behavior 
  • Researching and compiling external data sources to inform business decisions
  • Forecast global need for housing across a variety of causes (disaster response, refugee resettlement, etc.)
  • Designing experiments in partnership with our product team
  • Informing the public narrative of our work through data and visualizations

Qualifications

  • 5+ years analytics experience (data analysis and visualization) 
  • Fluency in the core toolkit of Data Science:
    • Implementing visualizations, dashboards, and reports
    • Advanced SQL/Hive
    • Airflow or similar job-scheduler tools
    • Descriptive and predictive modeling
    • R/Python (proficient or willing to learn)
  • Experience with statistical analysis, modeling, and building data pipelines
  • Ability to translate quantitative data into actionable recommendations and communicate to business partners through strong written and verbal communication
  • Project management experience, with proven ability to succeed in both collaborative and independent work environments
  • High level of independence and autonomy