Airbnb

Senior Data Scientist - Analytics, Hosting

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What Airbnb is looking for in applicants

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 Hosting

 

Every day, millions of Airbnb hosts around the world create comfortable, reliable and welcoming Stays and Experiences for our guests. Hosting on Airbnb offers a unique way to meet our Hosts’ financial goals but the rewards for opening their home or sharing a passion go beyond their bank account. Hosting also offers the opportunity to impact their local community, share their culture and connect with people they wouldn’t have met otherwise.

 

Our Hosting organization exists to bring a wider array of diverse Hosts into the Airbnb Community, support their success, earn their trust and ensure their safety and security. As the world emerges from the COVID-19 pandemic, Airbnb aspires to lead the travel industry with an entirely new form of community-powered travel, where creatively-led design is at the core of our offering. We know that our global community of hosts is one of Airbnb’s most precious assets and we are very intentional on how we nurture the common identity of being an Airbnb Host.

 

We have a strong team of data scientists, our work is highly sought-after, and our impact on the business is tremendous. If you have a proven background in this field and are excited to help build Airbnb’s community, we want to hear from you. 

 

Responsibilities include:

 

  • Defining and evaluating key metrics and understanding what moves them and why
  • Ownership of conceptualizing, developing, and maintaining dashboards and visualizations
  • Communicating analyses and recommendations to cross functional stakeholders for decision making
  • Empowering the team to answer data questions quickly and easily by building high-quality ground truth data sets
  • Designing experiments to validate key hypotheses about user behavior 

 

Here are example traits we value:

  • Professional industry experience in a quantitative analysis role (6+ years preferred)
  • Comfortable in SQL and some experience with a programming language (Python or R a plus)
  • Ability to communicate clearly and effectively to cross functional partners of varying technical levels
  • Ability to define relevant metrics that can guide and influence stakeholders to the appropriate and accurate insights
  • Experience or willingness to learn tools to create data pipelines using Airflow
  • Building clear and easy to understand dashboards (Tableau) and presentations 
  • Familiarity or experience with experimentation and methods in causal inference

 

Want some tips on how to get an interview at Airbnb?

What is Airbnb looking for?
If this role looks interesting to you, a great first step is to understand what excites you about the team, product or mission. Take your time thinking about this and then tell the team! Get in touch and communicate that passion.
What are interviews for Senior Data Scientist - Analytics like?
Interview processes vary by company, role and team. The best plan is to see what others have experienced and then plan accordingly.
How to land an interview at Senior Data Scientist - Analytics?
A great first step is organizing your path to an offer. Check out Kiter for tools to get started!