数据科学家 - 算法，社区支持
Data Scientist - Algorithms, Community Support
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，如今已发展为拥有超过 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：
Airbnb 是一家以使命驱动的公司，致力于打造一个任何人都能在任何地方找到归属感的世界。我们的社区支持（CS）团队是实现这一使命的核心——通过世界级的个性化人工支持，提供无缝的十星客户体验，赋能房东和宾客在旅程的每一步。
作为 CS 算法团队的数据科学家，你将有机会与强大的工程师、产品经理、设计师和运营代理团队合作，利用先进的 LLM/ML 建模技术，为宾客和房东提供个性化、公平且卓越的体验。
你将带来的改变：
我们正在寻找一位具备 LLM/ML 专业知识的优秀数据科学家加入社区支持数据科学团队。在这个职位中，你将与技术负责人紧密合作，参与高影响力的项目，直接机会塑造和影响我们的 AI 驱动产品、差异化服务体验和运营优化策略。
理想的候选人兼具深厚的 LLM/ML 技术能力，具有行动导向和影响力，适应不确定性，并热衷于构建可扩展的科学解决方案。你将参与高影响力项目，例如：
- 实现高效的高质量 LLM 评估流程的先进技术。
- 在各种 CS 领域中扩展高质量合成数据集的整理工作，用于训练和评估 LLM。
- 构建 LLM/ML 模型，基于多样化数据集理解客户问题，识别故障模式和改进机会。
- 构建个性化模型，提供差异化体验并最大化业务影响。
典型的一天：
- 发现机会：通过数据分析和模型原型设计，发现高影响力的业务机会，并将业务问题转化为科学表述。
- 揭示洞察：分析结构化和非结构化数据，揭示有意义的洞察，并制定可操作的建议，帮助塑造战略。
- 构建并发布
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:
Airbnb is a mission-driven company dedicated to creating a world where anyone can belong anywhere. Our Community Support (CS) team is at the heart of that mission—delivering seamless, 10-star customer service experiences complemented by world-class, personalized human support that empowers hosts and guests at every step of their journey.
As a Data Scientist working on Algorithms in CS, you will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operation agents to enable personalized, fair and exceptional experience for guests & hosts using advanced LLM/ML modeling for Community Support.
The Difference You Will Make:
We're looking for a talented Data Scientist with LLM/ML expertise to join the Community Support Data Science team. In this role, you'll partner closely with the tech lead to tackle significant components of high-impact projects with a direct opportunity to shape and influence our AI-powered products, differentiated service experiences, and operational optimization strategies.
The ideal candidate combines deep technical fluency in LLM/ML with a bias toward action and impact, comfort with ambiguity, and a passion for building scalable, scientific solutions. You’ll work on high-impact projects like:
- Implement advanced techniques to automate the LLM evaluation process with high efficiency and quality.
- Scale the high-quality synthetic datasets curation across various CS domains for training and evaluating LLM.
- Build LLM/ML models to understand customer issues based on diverse datasets and identify failure modes and opportunities for improvement.
- Build personalization models to offer differentiated experiences and maximize business impact.
A Typical Day:
- Discover Opportunities: Identify high-impact business opportunities through data exploration and model prototyping, and translate business problems into scientific formulations.
- Uncover Insights: Analyze structured and unstructured data to uncover meaningful insights and craft actionable proposals that help shape strategy.
- Build and Ship: Build and deploy production LLM/ML models that directly contribute to the launch of data-driven products, leveraging AI tools to enhance efficiency and impact.
- Collaborate Cross-Functionally: Build strong relationships with cross-functional partners across Product, Design, Engineering, Operations, and Analytics to drive collaboration and innovation.
- Influence Decisions: Communicate learnings to leaders and stakeholders in a clear, compelling manner that drives informed, data-driven decision-making.
- 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.
Your Expertise:
- 2+ years of relevant industry experience (e.g. data/ML scientist, tech lead, junior faculty) and a Master’s degree or PhD in relevant fields.
- State-of-the-art knowledge of AI/ML models.
- Strong fluency in Python/R and SQL, observation causal inference skill is a plus.
- Proven ability to communicate clearly and effectively to audiences of varying technical levels.
- Ability to translate complex findings and results into compelling narratives that drive impact.
- Excellent project management, communication, and collaboration skills.
- A product-oriented mindset, with the ability to apply conceptual and innovative thinking to develop and implement solutions that consider the user experience.
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
$151,000—$175,000 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.