Airbnb is a global platform that connects travelers and hosts from over 34,000 cities. At the backbone of this is a world class customer support team and the innovative technology that enables them. The Support Products team aims to provide personalized, on-demand support for our users to resolve their issues quickly, surface the most useful information at the right time, and enable Airbnb Support to scale with the growing business.

We are looking for a Senior Data Scientist to identify and execute scalable ways to measure and improve the customer service experience and to take a scientific approach to decision making. You will be based out of our Seattle office, where we already have established data science, product, and engineering teams. You will also leverage Airbnb’s state of the art data infrastructure and experimentation frameworks. 

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

• Identify critical business problems and create analytical/modeling framework and solutions
• Translate complex findings and results into a compelling narrative
• Define and evaluate key metrics and understand what moves them and why
• Owner of conceptualizing, developing, and maintaining dashboards and visualizations
• Communicate analyses and recommendations to cross functional stakeholders for decision making
• Partner with Engineering to improve data source quality
• Empower the entire team to answer data questions quickly and easily by building high-quality ground truth data sets and tooling to make analysis repeatable and scalable

Required Qualifications

• 6+ years professional industry experience in a quantitative analysis role
• Proficiency in SQL and an analytical programming language, i.e. Python or R.
• Ability to identify complex business problems and provide sound analytical/modeling solutions
• 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 and presentations.

Benefits

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

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.