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Senior Data Scientist, People Analytics & Research

Join Airbnb as a Senior Data Scientist to lead impactful research in People Analytics and drive data-driven decisions.

Location
United States
Compensation
$180k–$210k/yr
Level
senior
Type
full time · Remote

Posted by employer 2 days ago

First seen on Joblaze 1 day ago

Last verified on the company career page 1 day ago

Skills & Technologies

SQL Python R Flexible on stack

What you'll build

  • Collaborate with partners to understand people-related business problems
  • Utilize statistical models to gain insights on people-related processes
  • Translate data into meaningful visualizations and stories
  • Lead compensation analytics and inform Total Rewards decisions
  • Design and measure quality-of-hire metrics

Must have

  • 5+ years in industry experience
  • Master's degree/PhD in a quantitative field
  • Deep experience with causal inference on observational data
  • Proficiency in R or Python for statistical analysis
  • Experience applying data science to compensation or recruiting

Nice to have

  • Familiarity with survey design and analysis
  • Experience working with large practical datasets

AI in the day-to-day

Use AI fluently, including the team's AirPanda platform and LLM-based agents.

Requirements

Experience
5+ years
Education
Master's degree

Not disclosed in this posting: visa sponsorship.

Benefits

Equity/Stock Options Remote Work Health Insurance

Joblaze summary

In this role, the Senior Data Scientist in People Analytics & Research at Airbnb focuses on addressing complex workforce-related questions through rigorous data analysis and causal inference methods. Proficiency in R or Python, SQL, and experience with observational data are essential for success. This position is ideal for someone with over five years of experience in data science, particularly in areas like compensation and recruiting, who can effectively communicate insights across various teams. The role involves collaboration with multiple stakeholders, emphasizing the importance of data-driven decision-making in shaping Airbnb's workforce strategies.

Joblaze insights

  • Listed yesterday — first seen on Joblaze October 21, 2026. Last confirmed on Airbnb's careers page October 21, 2026.
  • Salary band is in line with the typical range for Data Science roles (median ~$180,000).
  • Starts above 54% of 61 comparable senior data science roles in United States that list Python we track (median $175,000 across 38 companies). See Python salary trends
  • Python appears in 73.1% of 108 comparable senior data science roles in United States; R appears in 21.3% of 108 comparable senior data science roles in United States.

Quick facts

Is the Senior Data Scientist, People Analytics & Research role remote?
Yes — Airbnb lists this as a fully remote position.
What's the salary range?
Airbnb lists $180,000–$210,000 for this role.
How much experience is required?
At least 5 years of relevant experience for this Senior Data Scientist, People Analytics & Research role.
What's the tech stack?
Joblaze extracted these technologies from the posting: Python, R, SQL.
What seniority level is this role?
Airbnb targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Data Scientist, People Analytics & Research role at Airbnb.

From the original posting

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.

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:

Pay Range
$180,000—$210,000 USD

Standard company text repeated across Airbnb's postings is omitted here.

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