Greenhouse ·
full-timeSenior Data Scientist, People Analytics & Research
Airbnb · Remote - USA
Airbnb is a global platform connecting hosts and travelers for unique stays and experiences. The People Analytics & Research team is seeking a Senior Data Scientist to apply rigorous inferential research to the company's workforce data. In this role, you will investigate critical organizational questions regarding recruitment, retention, promotion, and compensation. Your daily responsibilities involve partnering with cross-functional stakeholders in Recruiting, Legal, and Total Rewards to translate complex datasets into actionable business strategies. You will utilize causal inference, quasi-experimental methods, and statistical modeling to analyze observational people data, while also leading sensitive compensation analytics and quality-of-hire metrics. The position requires a strong technical foundation in R or Python and SQL, alongside the ability to communicate findings to non-technical leadership. This role is well-suited for an experienced professional with a background in quantitative research who is comfortable navigating legally sensitive information and leveraging AI tools to drive organizational effectiveness and fair talent management practices.
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: People Analytics & Research is a strong team of Data Scientists, Data Engineers, and Analysts. Our work is highly sought-after, and impacts stakeholders in our People function, and across the business. In this role, you'll take on some of the hardest questions about Airbnb's workforce - how we recruit, pay, develop, and retain our people - partnering with leaders across Recruiting, Compensation, Talent, and the wider business to turn rigorous analysis into decisions they act on. The Difference You Will Make: The People Analytics & Research team is looking for an experienced Data Scientist to lead and/or contribute to our most important research - applying causal inference and quasi-experimental methods to high-stakes people questions: how we recruit, hire, promote, and retain a best-in-class workforce; how we keep key company processes fair; and how work itself is changing. Employee listening and survey analysis are part of the mix, but the heart of the role is rigorous inferential research on observational people data. The role is highly cross-functional, and you will partner with Recruiting, Talent Leaders, Compensation, Legal, and Diversity & Belonging. We need a Data Scientist with a proven track record of translating data into insight and action. If you have a proven background in this field and are excited to help build Airbnb’s community, we want to hear from you. A Typical Day: Collaborate with partners and stakeholders to understand people-related business problems, and gather relevant people data to analyze Utilize appropriate statistical models and data science methodologies to gain insights, explain, or predict a wide variety of people-related processes, such as recruiting and hiring, promotion, retention, pay equity, productivity, and organizational effectiveness, among others Translate data and insights into meaningful visualizations and stories to drive strategy, action, and decision-making with leaders across the business Align research priorities with business priorities and take a customer-focused mindset in working with stakeholders Lead the team's compensation analytics - the recurring, legally sensitive analyses that inform Total Rewards decisions on pay, compensation structure, and talent awards - in close partnership with Employment Legal and Total Rewards Lead design and measurement of Airbnb's quality-of-hire metric with Recruiting, and own sensitive statutory and governance reporting Be a constant learner, active listener, and teacher to advance data science, people analytics, and Airbnb Use AI fluently - including the team's AirPanda platform and LLM-based agents - to accelerate analysis, prototyping, and synthesis, and to extend what a single researcher can deliver Your Expertise: 5+ years in industry experience and a Master's degree/PhD in a quantitative field Deep experience with causal inference on observational data and quasi-experimental research design and analysis Proficiency in R or Python for statistical analysis, and SQL for data access Familiarity with survey design and analysis, as one of several methods in the toolkit Experience applying data science to compensation, recruiting, or broader workforce and organizational questions, including work with legally sensitive data Ability to communicate clearly and effectively to cross functional partners of varying technical levels and drive impact Experience working with large practical datasets 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 . Pleas
| Role | Senior Data Scientist, People Analytics & Research |
|---|---|
| Company | Airbnb |
| Location | Remote - USA |
| Type | full-time |
| Compensation | Not disclosed |
| Posted | 2026-10-19 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4About Airbnb
Airbnb is a global platform that facilitates travel and accommodation by connecting guests with hosts. Since its inception in 2007, the company has grown from its first three guests to hosting 1.5 billion arrivals. The platform operates through a network of 5 million hosts who provide lodging options to travelers worldwide. Airbnb maintains a global creative community and emphasizes a flexible work environment for its employees, allowing them to live and work in various locations where regulations permit.
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- Strategic Finance & Analytics Intern (MBA) · United States
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