Airbnb is seeking for Data Scientist who has the ability to write clean and concise code, especially in R or Python.
Roles And Responsibilities:
You will influence new changes to the product through proactive exploration of the data, and frame your recommendations with a clear view of the assumptions you have made and the rigor employed in the analysis. You will collaborate with a strong team of engineers and product managers and leverage Airbnb's rich data and state-of-art data science infrastructure.
Required Skills And Experience:
A passion for Airbnb's mission of helping people belong anywhere.
Ability to write clean and concise code, especially in R or Python.
3+ years in industry experience and a Master's degree in a quantitative field or Economics; Ph.D. is a plus.
Solid understanding of product analytics & experimentation is a plus.
Solid knowledge of statistics and a keen eye for detail.
The intuition for data science best practices, stemming from proven experience.
A steadfast focus on creating impactful change.
Ability to partner with cross-functional teams using strong written and verbal communication.
Guest Growth related experience is a plus.
Founded in August of 2008 and based in San Francisco, California, Airbnb is a trusted community marketplace for people to list, discover, and book unique accommodations around the world online or from a mobile phone. Whether an apartment for a night, a castle for a week, or a villa for a month, Airbnb connects people to unique travel experiences, at any price point, in more than 33,000 cities and 192 countries. And with world-class customer service and a growing community of users, Airbnb is the easiest way for people to monetize their extra space and showcase it to an audience of millions.
No global movement springs from individuals. It takes an entire team united behind something big. Together, we work hard, we laugh a lot, we brainstorm nonstop, we use hundreds of Post-Its a week, and we give the best high-fives in town. Headquartered in San Francisco, we have satellite offices in Dublin, London, Barcelona, Paris, Milan, Copenhagen, Berlin, Moscow, Paolo, Sydney, and Singapore.