Airbnb
Travel & HospitalityDirect Greenhouse career site

Senior Data Scientist, People Analytics & Research

Location
Remote (US)
Job type
Full-time
Level
Senior
Experience
5+ years
Education
Master's degree
Listed
21 days ago

Skills & highlights for this role

  • causal inference
  • quasi-experimental design
  • R
  • Python
  • SQL

Also useful

  • survey analysis
  • LLM-based agents
  • large datasets

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. 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.

About Airbnb

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.

Read the original posting

From Airbnb's careers page, first listed on Rolev.ai on October 19, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

Rolev.ai is a job search and application tool for US job seekers. For this Senior Data Scientist, People Analytics & Research role at Airbnb, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.

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Common questions

Where is the Senior Data Scientist, People Analytics & Research job at Airbnb located?

Yes, this Senior Data Scientist, People Analytics & Research opening at Airbnb is listed as Remote (US). Always check Airbnb's application page for specific state eligibility or relocation policies.

What qualifications are required for Senior Data Scientist, People Analytics & Research at Airbnb?

For the Senior Data Scientist, People Analytics & Research role, Airbnb highlights 5+ years of relevant experience; a master's degree; experience with causal inference, quasi-experimental design, R, Python, SQL. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Senior Data Scientist, People Analytics & Research position at Airbnb?

This listing links directly to Airbnb's Greenhouse application page. You can apply directly on Airbnb's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.