Data Scientist at Airbnb - Remote
A new opportunity awaits as a Data Scientist position at Airbnb, remote-friendly. Start your next chapter at Airbnb.

Airbnb is expanding and seeking a Data Scientist to contribute to key projects. This position is based in London, offering a collaborative in-person work environment.
Airbnb operates a global marketplace for unique stays and experiences, connecting hosts with travellers across more than 220 countries and regions.
As a Data Scientist at Airbnb, you will collect, clean, and analyse large datasets to support business decision-making while contributing to the team's objectives and broader company goals.
Airbnb is based in London, and this role is expected to work from the office. This provides opportunities for face-to-face collaboration, mentorship, and team building. Specific work arrangements are discussed during the interview process.
You will join a team of 13 professionals working on data analyst projects. The team collaborates with cross-functional partners to deliver projects on time and maintain high standards of work.
Benefits vary by location, employment type, and individual circumstances. Review the full job posting for complete details.
Airbnb supports professional growth through mentorship, learning budgets, and defined career paths. Team members are encouraged to develop new skills and take on increasing responsibility over time.
This position is based in London. Candidates should be based in or willing to relocate to the specified location. Our office provides a collaborative environment with modern amenities.
If you are ready to make an impact at Airbnb, we encourage you to apply. Submit your application through the link below and a member of the recruitment team will be in touch. We review applications on a rolling basis and aim to respond within 5 business days.
This Data Scientist role at Airbnb is based on-site in London.
The salary range for this position is USD 83,577 - 134,341 per year, depending on experience.
Airbnb is looking for candidates with relevant experience and skills matching the requirements listed above. Entry-level and experienced candidates are both encouraged to apply where indicated.
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