出海雷达

Senior Data Scientist, People Analytics & Research

其他限定地区(需当地身份)
公司Airbnb
薪资未公开
工作地点Remote - USA
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型未标注
发布时间今天
数据来源Greenhouse
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注意地域限制:该职位明确限定在 Remote - USA 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

爱尔本布在2007年诞生,当时两家主机欢迎三位客人来到旧金山的家园,此后已扩大到500多万的主机,他们已经接待了全球几乎每一个国家超过20亿的客人。每天,主机提供独特的住宿和体验,使客户能够以更真实的方式与社区联系起来。在这个角色中,你将面对 Airbnb 员工最困难的问题 - 我们如何招募,支付,发展和保留我们的人员 - 与招聘,薪酬,人才以及更广泛的企业领导者合作,将严格分析转化为他们采取的决定。你会做的差异:人们分析与研究团队正在寻找一个经验丰富的数据科学家来领导或/或贡献我们最重要的研究- 应用因果推理和准实验方法到高层次的人类问题:我们如何招募和雇佣,促进和保持一流职能;我们如何让公司关键过程公平;以及工作本身在发生变化。员工听取和调查分析是混合的一部分,但角色的核心是对观察人员数据进行严格推断研究。这个角色非常跨功能,你将与招聘,人才领导者,补偿,法律和多样性和归属合作。我们需要一个具有经验证实的数据科学家来转化数据为见解和行动。如果你有该领域的经验证实,并希望帮助建立 Airbnb 社区,我们想从你那里听到。典型的一天:· 与伙伴和利益相关方合作了解人们有关的业务问题,收集有关人士数据来分析 · 利用适当的统计模型和数据科学方法来获取见解,解释或预测各种与人相关过程,如招聘和雇佣,晋升,保留,薪酬公平,生产力和组织效率等。· 将数据和见解转化为有意义的视觉化和故事,以推动战略,行动和决策与整个业务领导者。· 与业务优先事项协调研究重点并采取客户专注的心态在与利益相关方合作时。

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:

People Analytics & Research is a strong team of Data Scientists, Data Engineers, and Analysts. Our work is highly sought-after, and impacts stakeholders in our People function, and across the business. In this role, you'll take on some of the hardest questions about Airbnb's workforce - how we recruit, pay, develop, and retain our people - partnering with leaders across Recruiting, Compensation, Talent, and the wider business to turn rigorous analysis into decisions they act on.

The Difference You Will Make:

The People Analytics & Research team is looking for an experienced Data Scientist to lead and/or contribute to our most important research - applying causal inference and quasi-experimental methods to high-stakes people questions: how we recruit, hire, promote, and retain a best-in-class workforce; how we keep key company processes fair; and how work itself is changing. Employee listening and survey analysis are part of the mix, but the heart of the role is rigorous inferential research on observational people data. The role is highly cross-functional, and you will partner with Recruiting, Talent Leaders, Compensation, Legal, and Diversity & Belonging. We need a Data Scientist with a proven track record of translating data into insight and action.

If you have a proven background in this field and are excited to help build Airbnb’s community, we want to hear from you.

A Typical Day:

  • Collaborate with partners and stakeholders to understand people-related business problems, and gather relevant people data to analyze
  • Utilize appropriate statistical models and data science methodologies to gain insights, explain, or predict a wide variety of people-related processes, such as recruiting and hiring, promotion, retention, pay equity, productivity, and organizational effectiveness, among others
  • Translate data and insights into meaningful visualizations and stories to drive strategy, action, and decision-making with leaders across the business
  • Align research priorities with business priorities and take a customer-focused mindset in working with stakeholders
  • Lead the team's compensation analytics - the recurring, legally sensitive analyses that inform Total Rewards decisions on pay, compensation structure, and talent awards - in close partnership with Employment Legal and Total Rewards
  • Lead design and measurement of Airbnb's quality-of-hire metric with Recruiting, and own sensitive statutory and governance reporting
  • Be a constant learner, active listener, and teacher to advance data science, people analytics, and Airbnb
  • Use AI fluently - including the team's AirPanda platform and LLM-based agents - to accelerate analysis, prototyping, and synthesis, and to extend what a single researcher can deliver

Your Expertise:

  • 5+ years in industry experience and a Master's degree/PhD in a quantitative field
  • Deep experience with causal inference on observational data and quasi-experimental research design and analysis
  • Proficiency in R or Python for statistical analysis, and SQL for data access
  • Familiarity with survey design and analysis, as one of several methods in the toolkit
  • Experience applying data science to compensation, recruiting, or broader workforce and organizational questions, including work with legally sensitive data
  • Ability to communicate clearly and effectively to cross functional partners of varying technical levels and drive impact
  • Experience working with large practical datasets

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.

Equal Employment Opportunity:

Airbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic.
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
$180,000—$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.

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