Senior Staff Data Scientist, Guest & Host Marketplace AI

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:​

Guest Experience is responsible for Search and Discovery, Merchandising, and end-to-end online software

experience worldwide from top-of-funnel discovery through post-booking engagement. We are looking for a talented Data Scientist to

join the Guest Data Science team. This tech lead will be at the core of using AI and casual inference to understand user behavior

in our app, detect underlying intent, and to build data products needed to provide a compelling and personalized experience of our

app. We build products that help guests find the inventory most relevant to them in our marketplace.

The

Difference You Will Make:​

As a Senior Staff Data Scientist, you will lead innovation efforts to build

methodologies to identify and evaluate the preferences important to every guest, at every step of their online discovery funnel.

You will be instrumental in shaping our data strategy to drive guest conversion and regular engagement with the Airbnb platform

across our Homes, Experiences and Services business verticals.

This role emphasizes technical excellence and driving

business impact with cutting-edge science. Your role will involve close collaboration with Product to identify in-product

optimizations and shape UX design architecture to path how guests navigate from surface-to-surface in our app.

The ideal

candidate will demonstrate to be a domain expert with granular user behavior and sequence datasets in a marketplace setting. You

will hold a high bar for our customer experience and balance a passion for AI with a strong desire to accurately understand user

behavior and business success. Your efforts towards personalized content discovery will help make Airbnb feel tailored for you,

maintaining a dialogue with our guests to deeply understand their preferences and reflect that understanding back to them,

enabling every guest to easily discover the travel they will love.

• Learn: Develop deep understanding of how guests navigate and re-engage with our app via analysis, research, and by leveraging

granular user action and sequence datasets.

• Partner: With product and engineering, drive technical frameworks and science

leadership to explore innovative paradigms for detecting revealed preferences and quantifying online frictions.

• Build:

Write code for prototypes to detect and quantify taxonomy of guest preferences via iterative development of data frameworks,

models and artefacts derived from AI toolkits

• Evaluate: Assess assumptions and efficacy of derived guest preferences via

measurement and validating hypotheses linked to online guest action and engagement. Setup experiments and data feedback loops to

own a high bar over continuous impact.

• Influence: Regularly present findings and recommendations to leadership audiences

to inform strategy and cross-functional deliverables.

• If you’re passionate about going deep into personalized user

experiences, we want to hear from you!

• Causal inference expertise with

marketplace experience

• Preferred domain experience in search, UX discovery, personalized evidence systems

• Advanced degree in Computer Science, Statistics, Econometrics or related field.
• 9+ years of industry experience with

a PhD (or 12+ years with a Masters)

• Strong in communication with XFN partners in product, engineering, and design to

enable data-driven product development with a focus on the user experience.

• Expert in at least one programming language

for data analysis (Python or R) with familiarity in SQL. Comfort with developing proof-of-concept prototypes. Passionate about AI

and possessing a learner’s mindset towards LLMs and dynamic systems.

• Proven ability to succeed in both collaborative and

independent work environments

• Demonstrated willingness and track record of engagement with the technical community

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.

Airbnb values diversity & belonging and

is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without

regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability,

veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic.

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

$224,000—$280,000 USD

Reasonable Accommodations:​ We are committed

to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need

assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

A Note on Recruiting Scams:​ Scammers

sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true

for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters

correspond only from @airbnb.com or @ext.airbnb.com email

addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app

information while you are interviewing.  We’ll also never ask you to pay a fee, send money, deposit or cash a check, or

purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain

vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated

with Airbnb.