高级数据科学家，房客与房东
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Senior Data Scientist, Guest & HostAirbnb · Remote
职位信息来自雇主公开的招聘页面。申请前请务必在雇主官网核实详情。
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发现指数 50/100，仅依据与该职位一起存储的证据计算。
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- 雇主官方来源+15
- 远程职位+8
- 稀有职位+1
- 公司来源健康度+8
该职位未包含：已披露薪资、提及签证担保、提及搬迁、未出现在监控的职位板上。
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职位描述
机器翻译Airbnb 诞生于 2007 年，当时两位房东在旧金山的家中接待了三位房客，此后已发展到超过 500 万名房东，在全球几乎每个国家接待了超过 20 亿人次房客入住。每天，房东们提供独特的房源和体验，让房客能够以更真实的方式与社区建立联系。
你将加入的社区：
你将加入一个由数据科学家、分析师、工程师、产品经理和设计师组成的协作团队，为 Airbnb 房客和房东打造创新产品。你的核心团队将由 Guest & Host Data Science 组织内的数据科学家组成，他们开发模型、衡量框架、基础数据产品和智能洞察，以改进和塑造 Airbnb 市场与产品。
你将带来的不同：
在此通用申请下，你将被考虑纳入多个方向。
• 定价数据科学 - 负责为房东开发定价指导系统，以及用于衡量定价功能发布影响的方法（实验性和观察性）。
• 房客与房东产品数据科学 - 负责构建优化的产品、工具和项目，帮助我们的房东在平台上蓬勃发展，并让我们的房客轻松发现和预订符合其需求的住宿。
• 市场数据科学 - 负责构建数据产品、推断框架和智能洞察，以推动我们市场的增长。
作为团队中的数据科学家，你将通过所交付的数据产品和洞察，直接影响 Airbnb 用户社区和市场。你的工作范围可能从构建模型以理解供需对市场结果的影响，到应用因果推断方法衡量新定价指导工具的影响，再到基于我们对房客旅行偏好的理解生成目的地推荐。
典型的一天：
• 与产品、设计、工程和分析等跨职能合作伙伴建立牢固关系，以推动协作和创新。
• 直接参与数据驱动产品和模型的开发与发布，利用 AI 工具提升效率和影响力。
• 使用 Python、SQL 或 R 编写软件，以建模、模拟和衡量新功能的影响，并在必要时应用高级因果推断技术。
• 分析结构化或非结构化数据，以发现有意义的洞察，并制定可执行的建议，帮助塑造战略。
• 以清晰、有说服力的方式向领导者和利益相关者传达学习成果，推动基于数据的明智决策。
你的专长：
• 学士/硕士学位需 5 年以上经验，博士学位需 2 年以上经验。
• 具有实验、因果观察分析和机器学习技术的经验。
• 具有与产品、工程和设计合作以推动数据驱动模型或产品开发的经验。
• 能够对衍生数据资产进行原型设计、构建和扩展。
• 精通 SQL 以及 Python 或 R 的编码技能。
• 出色的口头和书面沟通能力——能够向非技术受众传达复杂的技术概念。
• 工作授权（如适用）
• 出差要求（如适用）
你的工作地点：
该职位为美国 - 可远程。根据与经理的约定，该职位可能偶尔需要在 Airbnb 办公室工作或参加异地活动。虽然该职位可远程，但你必须居住在 Airbnb, Inc. 拥有注册实体的州。点击此处查看最新的排除州列表。该列表不断变化，因此如果你居住的州在排除列表中，请再次与我们确认。如果你的职位受雇于另一家 Airbnb 实体，你的招聘人员将告知你可以从哪些州工作。
我们对包容与归属的承诺：
Airbnb 致力于与尽可能广泛的人才库合作。我们相信多元化的想法能够促进创新和参与，并使我们能够吸引具有创造力的领导者，并开发最好的产品、服务和解决方案。鼓励所有符合条件的个人申请。
我们还努力提供对残障人士包容的申请和面试流程。如果你是残障候选人，并且在提交申请时需要合理便利，请通过以下方式联系我们：reasonableaccommodations@airbnb.com 。请包括你的全名、你申请的职位以及协助你完成招聘流程所需的便利。
我们请求你仅在你因残障而无法完成我们的在线申请时才与我们联系。
我们将如何照顾你：
我们的职位名称可能跨越多个职业级别。实际基本工资取决于许多因素，例如：培训、可转移技能、工作经验、业务需求和市场需求。基本工资范围可能会发生变化，并可能在未来进行修改。该职位也可能有资格获得奖金、股权、福利和员工旅行积分。
薪资
$179,000 — $210,000 USD
合理便利：我们致力于在招聘过程中为残障申请人提供合理便利。如果你需要帮助或便利，请在有人就职位联系你时告知你的招聘人员。
关于招聘诈骗的说明：诈骗者有时会冒充 Airbnb 招聘人员，从候选人那里获取金钱或个人信息。对于 Airbnb 的招聘流程，有几件事始终属实：我们的空缺职位发布在 Airbnb 的职业页面上，网址为 careers.airbnb.com，我们的招聘人员仅通过 @ airbnb.com 或 @ ext.airbnb.com 电子邮件地址联系。我们的招聘人员在你面试期间绝不会询问你的社会安全号码、银行账户详细信息、护照或支付应用信息。我们也绝不会在面试过程中要求你支付费用、汇款、存入或兑现支票，或购买工作相关设备（例如公司笔记本电脑）。我们鼓励候选人对此类招聘诈骗保持警惕，如果你认为某个人实际上并非隶属于 Airbnb，请不要分享敏感信息。
以上内容由机器翻译自动生成，可能存在错误；投递前请以雇主原文为准。
查看雇主原文
职位描述
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 a collaborative team of data scientists, analysts, engineers, product managers and designers who build innovative products for Airbnb guests and hosts. Your core team will consist of data scientists within the Guest & Host Data Science organization, who develop models, measurement frameworks, foundational data products, and intelligence to improve and shape Airbnb marketplace and product.
The Difference You Will Make:
Under this general application, you will be considered for applications over several tracks.
• Pricing Data Science - Responsible for developing a pricing guidance system for hosts, as well as methods (experimental and observational) to measure the impact of pricing feature launches.
• Guest and Host Product Data Science - Responsible for building optimized products, tools, and programs that empower our hosts to thrive on our platform and our guests to easily discover and book stays that match their needs.
• Marketplace Data Science - Responsible for building data products, inference frameworks, and intelligence to enable the growth of our marketplace.
As a data scientist on the team, you will directly impact the Airbnb user community and marketplace with the data products and insights you deliver. Your work may range from building models to understand the impact of supply and demand on marketplace outcomes, to applying causal inference methods to measure the impact of a new pricing guidance tool, to generating destination recommendations based on our understanding of guest travel preferences.
A Typical Day:
• Building strong relationships with cross-functional partners across Product, Design, Engineering, and Analytics to drive collaboration and innovation.
• Contribute directly to the development and launch of data-driven products and models, leveraging AI tools to enhance efficiency and impact.
• Writing software in Python, SQL, or R to model, simulate, and measure the impact of new features, applying advanced causal inference techniques where necessary.
• Analyzing structured or unstructured data to uncover meaningful insights and craft actionable proposals that help shape strategy.
• Communicating learnings to leaders and stakeholders in a clear, compelling manner that drives informed data-driven decision making.
Your Expertise:
• 5+ years of experience with BS/masters degree, 2+ years of experience with PhD.
• Experience with experimentation, causal observational analysis, and machine learning techniques.
• Experience partnering with product, engineering, and design to enable data-driven model or product development.
• Ability to prototype, build, and scale derived data assets.
• Strong coding skills in SQL and either Python or R.
• Strong oral and written communication skills - an ability to communicate complex technical concepts to a non-technical audience.
• Work authorization (if applicable)
• Travel requirements (if applicable)
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.
薪资
$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.