Strategic Overview
Senior Data Scientist, Guest & Host at Airbnb is a data opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as Building strong relationships with cross-functional partners across Product, Design, Engineering, and Analytics to drive collaboration and innovation. Contribute directly to the development and launch of data-driven products and models, leveraging AI tools to…
The role is listed for Worldwide with remote working arrangement, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
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:
You will join a collaborative team of data scientists, analysts, engineers, product managers and designers who build innovative products for Airbnb guests and hosts. Your core team will consist of data scientists within the Guest & Host Data Science organization, who develop models, measurement frameworks, foundational data products, and intelligence to improve and shape Airbnb marketplace and product.
Key Responsibilities & Objectives
- Building strong relationships with cross-functional partners across Product, Design, Engineering, and Analytics to drive collaboration and innovation.
- Contribute directly to the development and launch of data-driven products and models, leveraging AI tools to enhance efficiency and impact.
- Experience partnering with product, engineering, and design to enable data-driven model or product development.
Required Qualifications & Candidate Blueprint
- 5+ years of experience with BS/masters degree, 2+ years of experience with PhD.
- Experience with experimentation, causal observational analysis, and machine learning techniques.
- Ability to prototype, build, and scale derived data assets.
Salary & Benefits
Published compensation: $179,000 – $210,000 USD
Salary Benchmark
This role’s published compensation is compared with current employer-disclosed salary ranges for the same role at the Senior level in the same currency.
Benchmark uses active employer job postings in our database and excludes this listing. It is not a third-party salary estimate, and currencies are not converted.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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:
You will join a collaborative team of data scientists, analysts, engineers, product managers and designers who build innovative products for Airbnb guests and hosts. Your core team will consist of data scientists within the Guest & Host Data Science organization, who develop models, measurement frameworks, foundational data products, and intelligence to improve and shape Airbnb marketplace and product.
The Difference You Will Make:
Under this general application, you will be considered for applications over several tracks.
- Pricing Data Science - Responsible for developing a pricing guidance system for hosts, as well as methods (experimental and observational) to measure the impact of pricing feature launches.
- Guest and Host Product Data Science - Responsible for building optimized products, tools, and programs that empower our hosts to thrive on our platform and our guests to easily discover and book stays that match their needs.
- Marketplace Data Science - Responsible for building data products, inference frameworks, and intelligence to enable the growth of our marketplace.
As a data scientist on the team, you will directly impact the Airbnb user community and marketplace with the data products and insights you deliver. Your work may range from building models to understand the impact of supply and demand on marketplace outcomes, to applying causal inference methods to measure the impact of a new pricing guidance tool, to generating destination recommendations based on our understanding of guest travel preferences.
A Typical Day:
- Building strong relationships with cross-functional partners across Product, Design, Engineering, and Analytics to drive collaboration and innovation.
- Contribute directly to the development and launch of data-driven products and models, leveraging AI tools to enhance efficiency and impact.
- Writing software in Python, SQL, or R to model, simulate, and measure the impact of new features, applying advanced causal inference techniques where necessary.
- Analyzing structured or unstructured data to uncover meaningful insights and craft actionable proposals that help shape strategy.
- Communicating learnings to leaders and stakeholders in a clear, compelling manner that drives informed data-driven decision making.
Your Expertise:
- 5+ years of experience with BS/masters degree, 2+ years of experience with PhD.
- Experience with experimentation, causal observational analysis, and machine learning techniques.
- Experience partnering with product, engineering, and design to enable data-driven model or product development.
- Ability to prototype, build, and scale derived data assets.
- Strong coding skills in SQL and either Python or R.
- Strong oral and written communication skills - an ability to communicate complex technical concepts to a non-technical audience.
- Work authorization (if applicable)
- Travel requirements (if applicable)
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.
Equal Employment Opportunity:
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.
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.
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.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This data opening is a useful opportunity for candidates whose experience matches the role-specific capabilities named in the listing. Its strongest career signal is the scope of the work itself — particularly Building strong relationships with cross-functional partners across Product, Design, Engineering, and Analytics to drive collaboration and innovation. — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground the role-specific capabilities named in the listing, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.