Advanced Analytics Intern

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Airbnb

5,001-10,000 employeesFounded 2007San Francisco, CASoftware Development
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Best applied by Nov 14

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About the role#

The Finance Data Science & Strategy team builds the statistical models behind Airbnb’s top line forecast. We analyze business performance, explain variances, and use those insights to refine future models. As an intern, you will help us close the loop between data findings and forecast improvements.

What you'll do#

  • Analyze business performance against the forecast and identify the drivers behind differences.
  • Work alongside data scientists to incorporate your findings into the next version of the forecast.
  • Present your findings to Finance and business partners through written reports and recurring reviews.
  • Own and complete a capstone project from start to finish.
  • Collaborate with team members to hit project milestones and provide status updates to stakeholders.
  • Participate in the Finance Data Science & Strategy team and the broader Airbnb community.
  • Seek and provide feedback throughout your internship.

What you'll need#

  • Current enrollment in a full-time Master's degree program in a quantitative field, such as Data Science, Mathematics, or Statistics.
  • At least one semester of school remaining after the internship concludes.
  • Substantial experience with SQL.
  • A solid foundation in Python or R.
  • Strong communication skills with the ability to explain findings to both technical and non-technical audiences.
  • Ability to conduct thorough analyses and work effectively with diverse teams.
  • Work authorization for employment in the United States.
  • Familiarity with forecasting, time series, or A/B testing is a plus, as is an interest in the technology or hospitality sectors.

Location & details#

  • This is a full-time, paid internship for Summer 2027.
  • The role is remote-eligible, though you must reside in a state where Airbnb has a registered entity.

About Airbnb

Airbnb operates as a software development company focused on travel accommodations and the collaborative economy. It began in 2007 in San Francisco. The platform connects hosts with travelers for stays and experiences. The company currently employs between 5,001 and 10,000 people.

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