Airbnb has become a global platform that connects travelers and hosts from over 81,000 cities. As such, experimentation is core to our growing business. We want to take a scientific approach to decision-making through careful hypothesis generation and testing and drive actions/refine strategies through insights from experimental analysis.

Our inference data scientists understand the complications of running experiments in a two-sided marketplace, power analysis and stopping criteria, and statistical models to improve power/significance. Another interesting problem space is understanding what to do when we are unable to conduct experiments. How do we understand the impact of something new?

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.

About Trust: Profile Data Science

We work on data products to enhance trust and safety on Airbnb’s platform and also offline. How do we let anyone (whether an individual, team, or business) accurately represent themselves online and easily manage their account preferences? How can we bridge a person’s online reputation with their offline behavior in a way that both grows the business and builds a more inclusive community? Join us if you want to uplevel your skills while solving hard problems with a group of talented people in a highly collaborative environment! 

Responsibilities

• Design experiments to understand the impact of user profile changes in complex and interlocking parts of the Airbnb action flows
• Maintain the right balance between speed to market and scientific rigor when designing solutions
• Define and evaluate key metrics and understand what moves them and why
• Investigate challenging questions around user experience to understand the voice of our users at scale
• Identify critical business problems and create analytical and modeling solutions to inform business decisions with compelling data stories
• Own conceptualizing, developing, and maintaining dashboards and visualizations
• Partner with Engineering to improve data source quality
• Empower the team to answer data questions quickly and easily by building high-quality ground truth data sets

Preferred Qualifications

• 5+ years industry experience or 2+ years with a Ph.D. in a scientific or quantitative field
• Advanced proficiency in SQL and extensive experience with Python or R
• Able to identify complex business problems and provide sound experimental approaches to testing hypotheses
• Able to communicate clearly and effectively to cross-functional partners of varying technical levels
• Able to define relevant metrics that can guide and influence stakeholders to the appropriate and accurate insights
• Experience with designing and evaluating experiments in two-sided marketplaces (a plus)
• Experience with large-scale data modeling and data set creation (a plus)
• Experience building (or willing to learn how to build) data pipelines using Airflow (a plus)
  

Benefits

• Stock
• $2,000 yearly employee travel coupon
• Competitive salary
• Paid time off
• Medical, dental, & vision insurance
• Life & disability coverage
• 401K
• Flexible Spending Accounts
• Apple equipment
• Daily breakfast, lunch, and dinner 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status