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Airbnb
Airbnb
5,001 – 10,000 Employees
H1B Visa SponsoreCommerceLogisticsTravel
Airbnb operates a global travel marketplace that helps guests find and book accommodations from private rooms and apartments to entire homes and boutique hotels. Its platform also features locally hosted experiences, connecting travelers with activities beyond their lodging. The company works across travel, logistics, and eCommerce, supporting the technology and operations behind stays and experiences worldwide.
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Senior Data Scientist, People Analytics Research

Lead people analytics research at Airbnb, using causal inference and statistical modeling to inform workforce, compensation, recruiting, and retention decisions. Work with stakeholders on sensitive analyses and reporting.

USUnited States
$180,000 – $210,000 / year
RemoteFull-timeSeniorEnglish RequiredData Scientist
PythonSQL

Description

  • Partner with stakeholders to define people-related business questions and collect relevant workforce data.
  • Use statistical models and data science methods to study recruiting, hiring, promotion, retention, pay equity, productivity, and organizational effectiveness.
  • Turn findings into visualizations and clear narratives that inform strategy and decisions.
  • Set research priorities in line with business needs while keeping stakeholders’ needs in view.
  • Lead compensation analytics that inform Total Rewards decisions about pay, compensation structures, and talent awards.
  • Work with Employment Legal and Total Rewards on compensation analyses involving sensitive legal considerations.
  • Lead the design and measurement of Airbnb’s quality-of-hire metric in partnership with Recruiting.
  • Manage sensitive statutory and governance reporting.
  • Use AI tools, including AirPanda and LLM-based agents, to speed up analysis, prototyping, and synthesis.
  • Teach and help advance data science, people analytics, and Airbnb.

Requirements

  • Bring at least five years of industry experience.
  • Hold a master’s degree or PhD in a quantitative field.
  • Have deep experience using causal inference with observational data.
  • Have experience designing and analyzing quasi-experimental research.
  • Be proficient in R or Python for statistical analysis.
  • Be proficient in SQL for data access.
  • Be familiar with survey design and analysis.
  • Have applied data science to compensation, recruiting, workforce, or organizational questions.
  • Have experience handling legally sensitive data.
  • Communicate clearly with cross-functional partners at varied technical levels and drive impact.
  • Have experience working with large, real-world datasets.
  • Live in a state where Airbnb, Inc. has a registered entity.

Benefits

  • Eligible for a bonus.
  • Eligible for equity.
  • Benefits are provided.
  • Employee Travel Credits.
  • Remote work arrangement.
  • Occasional work at an Airbnb office or attendance at offsites, as agreed with the manager.
  • Reasonable accommodations are available throughout the recruitment process for applicants with disabilities.

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