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Job Highlights

AI-extracted key information

The Staff Data Scientist in Listing Understanding at Airbnb will focus on leveraging Computer Vision to enhance the guest and host experience through improved listing attributes. This role involves cross-functional collaboration to develop and execute a roadmap for photo management and its integration into product experiences.

Salary Range

$194k - $240k/year

Experience Level

Expert Level

Education Requirements

doctoral degree

AI-powered analysis • Data extracted from job description
Airbnb logo

Staff Data Scientist - AI-enabled Product Understanding (Inference)

AirbnbRemoteData & Analytics

Posted 3 months ago

Full-Time

Employment Type

Remote

Work Location

$194,000 - $240,000

per year

About This Role

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 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

Millions of users navigate Airbnb’s app daily in their end-to-end journey from Homepage and Search through Booking and On-Trip. These usage patterns are directly connected to our Search and Discovery experience, including the placements, formats and content of information surfaced to users through our app. To help our guests, Merchandising and Recommendations systems are continuously being optimized, powered by hundreds of online experiments and data products designed to mine user preferences and deliver a compelling and holistic end-to-end personalized user experience designed to delight and make finding travel accommodations easy.

The Difference You Will Make

Partner directly on growth initiatives to build, ship, measure incrementality of bookings/attach rate/revenue, and optimize 0-to-1 customer-facing features

Thought partnership with Product to define strategy, sequence iteration, scale impact via science frameworks and as the go-to tech lead around data, experimentation, and domain understanding

Build observational causal inference models to deeply understand guest intent, identify underlying mechanisms, and build data products to measure impact, and inform feature objectives and tradeoffs

Champion AI-enabled Product Understanding, to scale data-driven frameworks, robust measurement, and compelling storytelling of data learnings to guide recommendations and roadmaps with senior leaders

The Difference You Will Make

The ideal candidate will be curious, optimistic, and relentless at leading innovation in using AI tools to scale experimentation and data-driven decisions, development of domain-relevant input metrics, and continuous understanding of tradeoffs and end-to-end guest product journeys. You will hold a high bar for customer experience and a strong desire to accurately understand user behavior and drive business growth over both Homes and non-Homes verticals.

Your Expertise

Causal inference expertise with marketplace product experience

Preferred domain in search and discovery, recommendations, UX, personalized evidence systems

Advanced degree in Statistics, Economics, Computer Science or related field.

9+ years of relevant industry experience and a Master’s degree or PhD in a quantitative field

Strong in communication with XFN partners in product, engineering, and design to enable data-driven product development with a focus on the user experience and customer mindset

Comfort with building proof-of-concept prototypes. Passionate about AI and possessing a learner’s attitude

Expert in SQL and at least one of Python or R

Proven ability to be driven and succeed in both collaborative and independent work environments

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.

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.

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

$194,000

$240,000 USD

Compensation

$194,000 - $240,000

Annual salary

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