高级数据科学家，宾客与房东
Senior Data Scientist, Guest & Host
Airbnb 诞生于 2007 年，当时两位房东欢迎三位客人入住他们的旧金山住宅，如今已发展成为拥有超过 500 万房东，在全球几乎所有国家都接待了超过 20 亿次客人入住的平台。每天，房东们提供独特的住宿和体验，让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：
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合作团队，他们为 Airbnb 的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、测量框架、基础数据产品和智能系统，以改善和塑造 Airbnb 市场和产品。
你将带来的影响：
在本职位申请中，你将被考虑多个方向的岗位。
- 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，使我们的房东能够在平台上蓬勃发展，让房客轻松发现并预订符合需求的住宿。
- 市场数据科学 - 负责构建数据产品、推理框架和智能系统，以推动我们市场的增长。
作为团队中的数据科学家，你将通过你提供的数据产品和洞察力直接影响 Airbnb 用户社区和市场。你的工作可能包括从构建模型来理解供需对市场结果的影响，到应用因果推断方法来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、工程和分析部门的跨职能合作伙伴建立牢固的关系，推动协作和创新。
- 直接参与数据驱动产品的开发和发布，利用 AI 工具提高效率和影响力。
- 使用 Python、SQL 或 R 编写软件，对新功能进行建模、模拟和评估影响，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，以发现有意义的见解
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:
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.
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.