远程工作雷达

高级资深数据科学家,客人与房东市场AI

Senior Staff Data Scientist, Guest & Host Marketplace AI

AI全球可投
公司Airbnb
薪资未公开
工作地点Remote
地域资格全球可投
时区要求无特别要求
用工类型未标注
发布时间2025-07-25
数据来源Greenhouse
前往企业招聘页投递 →
全球可投:该职位未限制候选人所在地区。仍需注意薪资可能按地区折算,以及实际签约方式(正式雇佣 / 独立合同)。

Airbnb成立于2007年,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,他们在全球几乎每个国家接待了超过20亿次客人。每天,房东们提供独特的住宿和体验,使客人能够以更真实的方式与社区建立联系。

你将加入的团队:

Guest Experience负责全球搜索与发现、商品展示以及从初步接触到预订后的完整在线软件体验。我们正在寻找一位有才华的数据科学家加入Guest Data Science团队。这位技术负责人将利用AI和因果推断来理解应用中的用户行为,检测潜在意图,并构建所需的数据产品,以提供引人入胜且个性化的应用体验。我们开发的产品帮助客人在我们的市场中找到最符合他们需求的房源。

你将带来的影响:

作为高级数据科学家,你将领导创新工作,建立方法论来识别和评估每位客人在在线发现流程中每一步的重要偏好。你将在塑造我们的数据战略方面发挥关键作用,推动Airbnb平台在房屋、体验和服务业务垂直领域的客人转化率和日常参与度。

这个职位强调技术卓越和通过前沿科学实现业务影响。你的工作将涉及与产品团队紧密合作,识别产品优化点并塑造用户体验设计架构,指导客人在应用中从一个界面到另一个界面的导航路径。

理想的候选人应具备在市场环境中对用户行为和序列数据的深入理解。你将对客户体验设定高标准,并在热爱AI的同时,强烈希望准确理解用户行为和业务成功。你在个性化内容发现方面的努力将使Airbnb感觉为你量身定制,与客人保持对话,深入了解他们的偏好,并将这种理解反馈给他们,使每位客人都能轻松发现他们喜爱的旅行方式。

日常工作示例:

  • 学习:通过分析、研究以及利用细致的用户行为和序列数据集,深入了解客人如何在应用中导航和重新参与。
  • 合作:与产品团队密切协作,识别产品优化机会并塑造用户体验设计架构,以指导客人在应用中从一个界面到另一个界面的导航路径。
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:

Guest Experience is responsible for Search and Discovery, Merchandising, and end-to-end online software experience worldwide from top-of-funnel discovery through post-booking engagement. We are looking for a talented Data Scientist to join the Guest Data Science team. This tech lead will be at the core of using AI and casual inference to understand user behavior in our app, detect underlying intent, and to build data products needed to provide a compelling and personalized experience of our app. We build products that help guests find the inventory most relevant to them in our marketplace.

The Difference You Will Make:

As a Senior Staff Data Scientist, you will lead innovation efforts to build methodologies to identify and evaluate the preferences important to every guest, at every step of their online discovery funnel. You will be instrumental in shaping our data strategy to drive guest conversion and regular engagement with the Airbnb platform across our Homes, Experiences and Services business verticals.

This role emphasizes technical excellence and driving business impact with cutting-edge science. Your role will involve close collaboration with Product to identify in-product optimizations and shape UX design architecture to path how guests navigate from surface-to-surface in our app.

The ideal candidate will demonstrate to be a domain expert with granular user behavior and sequence datasets in a marketplace setting. You will hold a high bar for our customer experience and balance a passion for AI with a strong desire to accurately understand user behavior and business success. Your efforts towards personalized content discovery will help make Airbnb feel tailored for you, maintaining a dialogue with our guests to deeply understand their preferences and reflect that understanding back to them, enabling every guest to easily discover the travel they will love.

A Typical Day:

  • Learn: Develop deep understanding of how guests navigate and re-engage with our app via analysis, research, and by leveraging granular user action and sequence datasets.
  • Partner: With product and engineering, drive technical frameworks and science leadership to explore innovative paradigms for detecting revealed preferences and quantifying online frictions.
  • Build: Write code for prototypes to detect and quantify taxonomy of guest preferences via iterative development of data frameworks, models and artefacts derived from AI toolkits
  • Evaluate: Assess assumptions and efficacy of derived guest preferences via measurement and validating hypotheses linked to online guest action and engagement. Setup experiments and data feedback loops to own a high bar over continuous impact.
  • Influence: Regularly present findings and recommendations to leadership audiences to inform strategy and cross-functional deliverables.
  • If you’re passionate about going deep into personalized user experiences, we want to hear from you!

Your Expertise:

  • Causal inference expertise with marketplace experience
  • Preferred domain experience in search, UX discovery, personalized evidence systems
  • Advanced degree in Computer Science, Statistics, Econometrics or related field.
  • 9+ years of industry experience with a PhD (or 12+ years with a Masters)
  • Strong in communication with XFN partners in product, engineering, and design to enable data-driven product development with a focus on the user experience.
  • Expert in at least one programming language for data analysis (Python or R) with familiarity in SQL. Comfort with developing proof-of-concept prototypes. Passionate about AI and possessing a learner’s mindset towards LLMs and dynamic systems.
  • Proven ability to succeed in both collaborative and independent work environments
  • Demonstrated willingness and track record of engagement with the technical community

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.
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
$224,000—$280,000 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.

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