Jobs / United States / Airbnb
Staff Data Scientist, Guest & Host
Airbnb · 🇺🇸 United States
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 167 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 71 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Airbnb paid sponsored hires in similar roles19 certified filings for “Data Scientist” (Data Scientists) in CA: $151k–$191k, median $177k. Most were filed at wage level II (37%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Airbnb
The US Department of Labor certified 167 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 71 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Airbnb →
About the 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 the Guest and Host Data Science organization, which powers products and data-driven decisions over Airbnb’s marketplace of Guest and Hosts. You will join a collaborative team of data scientists, analysts, engineers, product managers and designers who build, launch and iterate on our product roadmap to drive growth and deeper sophistication through experimentation, modeling, foundational tools and insights. Our work is core to ensuring that Airbnb’s strategy roadmap stays highly relevant for our users while supporting the long-term health of our marketplace. We work directly with decision makers in engineering and product to develop data-driven frameworks, technical solutions, evaluate product changes and guide the company through rigorous measurement and modeling. The Difference You Will Make: Under this general application, you will be considered for applications over several tracks. Growth Product Data Science • Partner directly on growth initiatives to build, ship, measure incrementality of bookings/attach rate/revenue, and optimize 0-to-1 customer-facing features • Thought partnership with Product to define strategy, sequence iteration, scale impact via science frameworks and as the go-to tech lead around data, experimentation, and domain understanding • Build observational causal inference models to deeply understand guest intent, identify underlying mechanisms, and build data products to measure impact, and inform feature objectives and tradeoffs • Champion AI-enabled Product Understanding, to scale data-driven frameworks, robust measurement, and compelling storytelling of data learnings to guide recommendations and roadmaps with senior leaders Pricing Data Science • Develop a pricing guidance system for hosts as well as experimental and observational methods to measure the impact of pricing feature launches. • Collaborate with product and cross-functional teams to pioneer pricing strategies and translate advanced modeling into actionable recommendations • Develop foundational models and experimental approaches that balance supply and demand in the marketplace, leveraging empirical methods to assess and iterate on pricing feature impact • Craft compelling data narratives to surface actionable insights, empower data-driven decision making and influence the future direction of Airbnb’s pricing ecosystem Marketplace Optimization and Ranking • Develop models and analytic frameworks that improve listing ranking and recommendation. This includes incorporating marketplace dynamics such as listing availability, supply quality, and long-term ecosystem health into ranking decisions. • Partner closely with Machine Learning Engineers and Product to launch high-impact search improvements. Design experiments and evaluation frameworks to understand the impact of search and AI-driven product improvements. • Build scalable data products and modeling pipelines that power ranking features, query understanding, and personalization. Your work will help enable the next generation of AI-powered search experiences at Airbnb • Connect marketplace thinking, modeling, and experimentation across teams and set the technical direction for modeling and experimentation in search, ranking and personalization. The ideal candidate will be curious, optimistic, and relentless at leading innovation in using AI tools to scale experimentation and