高级数据科学家，信任（推理）
Senior Data Scientist, Trust (Inference)
Airbnb 于 2007 年诞生，当时两位房东欢迎三位客人入住他们的旧金山住宅，如今已发展为超过 500 万房东，他们在全球几乎所有国家接待了超过 20 亿次宾客到访。每天，房东们提供独特的住宿和体验，让宾客能够以更真实的方式与社区建立联系。
你将加入的社区：
“我们真正的创新不是让人们预订房屋；而是设计一个框架，让数百万人彼此信任。信任是推动 Airbnb 的真正能源……”
- Brian Chesky，Airbnb 联合创始人兼首席执行官（2019）
数据科学是 Airbnb 最重要决策背后的引擎。平台数据科学团队通过结合科学严谨性和深厚的领域专业知识，推动产品演进和业务成果，涵盖实验、机器学习、因果推断和可扩展智能。
我们与 Trust 部门的产品、工程、政策和运营团队紧密合作，检测并防范威胁宾客和房东信任的对抗行为：虚假房源和假库存、评论和内容操控、账户盗用以及其他平台上的恶意行为。无论是衡量新的房源完整性防御措施的影响，还是在房源或账户层面建模风险，或是评估执行政策的有效性，我们的工作帮助宾客和房东体验更加安全、智能和个性化的 Airbnb。
你将带来的改变：
该职位位于 Airbnb 最具影响力的某些数据科学挑战的核心，严谨的统计思维和应用 ML 直接塑造平台结果。你将负责高可见度的项目，这些项目需要技术深度和强大的商业判断力——这些工作对管理层可见，并对 Airbnb 用户和营收产生可衡量的影响。
典型的一天：
理想的候选人是一位技术卓越且具有战略眼光的数据科学家，能够应对不确定性，在复杂的问题空间中推动清晰度，并影响产品和政策决策。你将负责并推动以下工作：
- 推理与度量：设计并实施度量和评估框架，以了解信任防御措施的影响，并发现改进机会
- 实验：与跨职能合作伙伴密切合作，主导实验和准实验的设计与分析
查看英文原文
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:
“Our real innovation is not allowing people to book a home; it’s designing a framework to allow millions of people to trust one another. Trust is the real energy source that drives Airbnb…”
- Brian Chesky, Airbnb Co-Founder & CEO (2019)
Data science is the engine behind Airbnb's most impactful decisions. The Platform Data Science team accelerates product evolution and business outcomes by combining scientific rigor with deep domain expertise, spanning experimentation, machine learning, causal inference and scalable intelligence.
We partner closely with product, engineering, policy, and operations teams across Trust to detect and defend against the adversarial behavior that threatens guest and host trust: fraudulent listings and fake inventory, review and content manipulation, account takeover, and other bad-actor activity on the platform. Whether measuring the impact of a new listing integrity defense, modeling risk at the listing or account level, or evaluating the effectiveness of an enforcement policy, our work helps guests and hosts experience an Airbnb that is safer, smarter and more personalized.
The Difference You Will Make:
This role sits at the heart of some of Airbnb's most consequential data science challenges, where rigorous statistical thinking and applied ML directly shape platform outcomes. You will own high-visibility initiatives that require both technical depth and strong business judgment - work that is visible to leadership and has measurable impact on Airbnb's users and bottom line.
A Typical Day:
The ideal candidate is a technically exceptional and strategically minded Data Scientist who can navigate ambiguity, drive clarity in complex problem spaces and influence product and policy decisions. You will own and drive initiatives such as:
- Inference & Measurement: Design and implement measurement and evaluation frameworks to understand the impact of Trust defense, and uncover opportunities for improvement
- Experimentation: Collaborating closely with cross-functional partners, lead the design and analysis of experiments and quasi-experiments in environments where standard A/B testing is challenging.
- Modeling: Build and iterate on statistical and Bayesian models that quantify risk, estimate treatment effects, and surface measurement gaps; provide causal interpretation of signals surfaced by ML systems
- Insights and Strategy: Generate deep insights on the effectiveness of Trust defenses and translate them into clear strategic recommendations for product roadmap and policy decisions
- Communication & Collaboration: Deliver robust, leadership-ready research with rigorous analysis, compelling data visualizations, and clear narratives; effectively communicate complex methodological tradeoffs to both technical and non-technical audiences across product, engineering, policy and operations
- Empowerment: Think strategically about how to scale and evolve data science capabilities within your domain, contributing to the long-term vision for how science drives platform outcomes
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Your Expertise:
- 5+ years of industry experience in a quantitative analysis role with a Master's degree in a quantitative field (statistics, economics, computer science, etc.), or 2+ years of experience with PhD in relevant fields.
- Deep expertise in experimentation and causal inference.
- Strong knowledge of Bayesian modeling and its application to measurement, uncertainty quantification, and decision-making
- Proven ability to design and lead experimentation programs in complex environments, collaborating with and influencing cross-functional stakeholders.
- Skilled in statistical programming and database usage. Strong coding skills in SQL and python or R.
- Demonstrated ability to translate complex methodological findings into actionable insights and compelling narratives for audiences of varying technical levels
- Excellent judgment in navigating ambiguity, scoping problems, and driving impact through influence across cross-functional teams
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. 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.
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Pay Range
$179,000—$210,000 USD
Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @airbnb.com or @ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.