Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

We are looking for talented Data Scientists to join our supply growth and special projects team. This team is pivotal to the Airbnb marketplace, ensuring we continue to onboard high quality supply to meet ongoing travel demands. The projects will range from optimizing host onboarding tools, to discovering and defining new growth levers, to creating frameworks to understand our supply at a deeper level.

The Difference You Will Make:

As a Staff Data Scientist, you will be hands-on and responsible for building the data products, inference frameworks, and intelligence to power and inform supply growth levers. You will work centrally, amongst other data scientists, while partnering cross functionally with design, product, and engineering to deliver initiatives such as:

• Performing analysis and developing models to inform how to bring high quality supply onto Airbnb, and how to best merchandise and showcase this supply to our guests.
• Creating measurement frameworks and/or designing experiments to access the tradeoffs and the  incremental benefits of new growth levers.
• Building and operationalizing systems to identify suboptimal host products and formulating end to end solutions to improve them.
• Providing mentorship to other data scientists, exemplifying a high bar for technical excellence.

A Typical Day: 

• Insights: Generate insights around our supply to discover ways to continually improve our marketplace
• Measurement: Apply causal inferences methods and/or design experiments to estimate the effect of Airbnb's growth levers
• Build: Develop inference frameworks, models, prototypes and data products to scale your ideas
• Communicate: Regularly present technical work to stakeholders to generate excitement and get buy-in on ideas

Your Expertise:

• 9+ years of relevant industry experience, ideally with a Master’s degree or PhD in a quantitative field
• Strong fluency in Python or R for hands-on IC work and SQL for advanced data analysis at scale
• Experience with inference and machine learning techniques
• Experience with the end-to-end lifecycle of building statistical and ML solutions from ideation phase, to prototyping, to testing / evaluation, to deployment in production
• Proven ability to succeed in collaborative environments with cross-functional stakeholders and also in independent work environments
• Proven ability to communicate clearly and effectively to audiences of varying technical levels

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range

$192,000—$243,000 USD