负责人 - 高级分析，古尔冈
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Lead - Advanced Analytics, GurgaonAirbnb · Gurugram, 印度
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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。
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 400 万名房东，在全球几乎每个国家接待了超过 10 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。
Airbnb 卓越分析中心（ACOE）位于印度，是一个知识与专业技能的枢纽，旨在提供数据驱动的决策支持，助力 Airbnb 实现业务目标。ACOE 的愿景是打造一个世界一流的分析组织，提供可扩展、AI 驱动的分析。我们与多个业务职能部门合作，如支付、信任、数字、客户支持、房东、销售、社交、合规、风险、平台以及合作与经济学。
ACOE 的交付框架旨在为数据驱动决策提供相关且贴合情境的洞察。这包括一站式指标解决方案、驱动可执行洞察的仪表板、绩效优化、衡量功能上线前后的影响、评估机会的 ROI、机会优先级排序、异常驱动的告警机制、指标偏差的根本原因分析，以及探索性假设检验。
你将加入的社区：
我们正在为印度分析团队寻找一位首席高级分析师，负责与社区支持业务合作。该分析师必须具备构建和扩展分析解决方案的深厚职能专长，并作为产品团队和市场各团队业务领导者的战略思想伙伴，大规模推动洞察、建议和数据驱动的决策。该职位隶属于高级分析（Advanced Analytics）序列，为我们的战略规划与运营组织内的业务领导者提供支持。
你将带来的不同：
• 作为社区支持各产品与业务领导者的主要数据思想伙伴，在组织层面提供战略洞察、建议并推动数据驱动的决策。
• 推动日常产品分析，并创建可扩展、可复用的数据工具和框架，提升整个团队的分析能力。
• 构建并扩展高级分析能力；利用 Airbnb 最先进的机器学习基础设施和中央数据科学工具，与工程师、产品经理、设计师和运营人员协作，实现跨职能的共同目标。
• 在团队中倡导 AI 优先的分析实践，识别高影响力机会，将基于 LLM 的工具、AutoML 和高级 AI 能力整合到分析工作流中。
• 展现强烈的紧迫感，并致力于 Airbnb 的归属感使命。
• 深入理解房客和房东如何与我们的社区支持平台互动，以及我们如何通过结构化和非结构化数据源管理风险，同时满足监管合规要求。
• 指导并带领初级分析师，培养分析严谨、好奇心和持续技能发展的文化。
典型的一天：
• 推动战略规划与运营领域的产品分析路线图、优先级排序和解决方案交付，在极少指导下开展工作，并提前最多 6 个月进行规划。
• 端到端领导项目：制定时间表、定义关键里程碑、定期向产品经理和分析领导层提供更新，并按约定时间表交付。
• 与产品经理和业务负责人紧密合作，设计、执行和评估 A/B 测试；主动识别并沟通实验的常见陷阱和注意事项。
• 通过构建高质量的真实基准数据集和仪表板，使利益相关者能够快速、独立地回答数据问题，从而在团队中建立信誉和信任。
• 与产品工程团队合作制定日志记录规范，与分析工程团队合作构建可在 Airbnb 内部大规模使用的可扩展数据工具。
• 设计业务指标框架和优化模型，以大规模支持 Airbnb 的产品、运营和政策决策。
• 通过业务回顾、自助门户、规划记分卡和影响分析，影响全球各站点和各业务垂直领域的数据驱动决策。
• 针对 Airbnb 新的政策/产品功能进行实验，以帮助阻止和降低风险；将发现转化为面向领导层的可执行建议。
• 与数据科学/工程团队合作，领导并影响机器学习模型开发，以自动化政策执行决策，同时将最复杂的案例转交人工审核。
• 主动识别应用 AI 辅助工具（例如 LLM、AutoML、NLP 流水线）的机会，以加速分析交付并解锁新的分析能力。
• 通过融合外部和内部数据源，并与全球运营和印度分析职能部门紧密合作，确保用于分析和报告的数据质量与完整性。
你的专长：
• 8 年以上行业经验，并拥有定量领域（例如统计学、计量经济学、计算机科学、工程学、数学、数据科学、运筹学）的高级学位（硕士或博士优先）。
• 专家级 SQL；复杂查询优化、性能调优和模式设计；对 ETL/ELT 流水线有深入理解；具备数据转换工具的实用知识。
• 编程与统计建模：精通 Python（pandas、numpy、scikit-learn、statsmodels）；能够构建和部署端到端分析模型；具备高级回归技术、时间序列分析和因果推断经验。
• 实验与分析框架：专家级 A/B 测试和多变量测试；高级实验设计，包括功效分析、switchback 测试和准实验方法（双重差分、回归断点）；数字漏斗和队列分析。
• 机器学习与 AI（熟练）：熟练掌握 ML 技术，包括 EDA、假设检验、线性/逻辑回归、SVM、岭回归/Lasso 回归、随机森林、NLP、KNN 和 K-means；具备 LLM（例如 ChatGPT、Gemini、Claude）的实操经验和应用提示工程能力；能够独立部署 AI 工具解决分析问题；了解负责任 AI、数据隐私（GDPR/CCPA）和偏见缓解。
• 具备预测和高级计量经济建模经验是一项要求。
• 可视化与叙事：精通 Tableau、Power BI 或同等 BI 平台；能够设计和构建高管级仪表板和自助分析门户；具备面向高级领导层受众的出色数据叙事和演示技能。
• 数据基础：对 Presto、Hive、Teradata 和 Spark 有扎实的实用知识；具备为分析消费设计可扩展数据模型的经验。
• AI 工具熟练度：能够独立应用 AI 工具（LLM、AutoML、NLP 流水线）解决复杂业务问题。
• 设计并实施可在全团队采用的 AI 增强分析工作流。
• 针对特定用例评估并选择合适的 AI 模型；理解模型复杂性、可解释性和性能之间的权衡。
• 倡导负责任 AI 原则，包括偏见检测、模型公平性以及对数据隐私法规（GDPR/CCPA）的合规。
• 通过分享最佳实践、开展赋能培训和识别新的 AI 用例，为 AI 优先文化做出贡献。
• 具备在跨文化环境中无需直接职权即可领导和影响跨职能团队及高级利益相关者的可靠能力。
• 出色的沟通能力；能够将复杂的分析发现转化为清晰、可执行的叙述，面向技术和非技术受众。
• 具备从项目启动到可衡量业务影响的全栈数据项目交付的可靠业绩记录。
• 强大的指导和辅导能力；具备培养初级人才的证明。
• 积极、以解决方案为导向的心态，能够保持保密性和客观性。
• 出色的解决问题能力、自我驱动力和自主性；强大的组织与时间管理能力，能够管理多个高优先级工作流并按时完成。
• 熟练掌握敏捷项目管理实践和工具（例如 Jira/Asana）。
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意领导力的人才，开发最好的产品、服务和解决方案。鼓励所有符合条件的人申请。
请注意，该职位工作地点位于印度古尔冈，目前不提供搬迁支持。 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、可迁移技能、工作经验、业务需求和市场需求。下方显示的基本工资范围为年化金额，包含津贴，且可能发生变化，并可能在未来调整。该职位还可能符合奖金或激励、一项或多项股权计划、福利以及员工旅行抵用金的资格。
印度年度薪资范围 ₹3,080,000 — ₹4,400,000 INR
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，请在就某个职位与你联系后告知你的招聘人员。
关于招聘诈骗的说明：诈骗者有时会冒充 Airbnb 招聘人员，从候选人处获取金钱或个人信息。以下事项对 Airbnb 的招聘流程始终适用：我们的空缺职位发布在 Airbnb 招聘页面 careers.airbnb.com 上，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，如果你认为某个人并非真正隶属于 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。
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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.
Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 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 Analytics Centre of Excellence (ACOE) at Airbnb, based in India, is a hub of knowledge and expertise that aims to provide data-driven decision-making, enabling Airbnb's business goals. The ACOE's vision is to build a world-class analytics organization that provides scalable, AI-enabled analytics. We work with various business functions such as payments, trust, digital, customer support, hosting, sales, social, compliance, risk, platforms and partnerships & economics.
The ACOE's delivery framework is designed to provide relevant and contextual insights for data-driven decisions. This includes a one-stop solution for metrics, dashboards driving actionable insights, optimization of performance, measuring pre/post feature impact, sizing the ROI of opportunities, prioritization of opportunities, anomaly-driven alerting mechanisms, root cause analysis of metric deviation, and exploratory hypothesis testing.
The Community You Will Join:
We are looking for a Lead Advanced Analyst in our India Analytics team who works with the Community Support business. The analyst must have deep functional expertise in building and scaling analytical solutions and serve as a strategic thought partner to product teams and business leaders across marketplace teams driving insights, recommendations, and data-informed decisions at scale. This role will sit under the Advanced Analytics family and support Business leaders within our Strategic Planning & Operations organization.
The Difference You Will Make:
• Serve as the primary data thought partner to product and business leaders across Community Support, providing strategic insights, recommendations, and enabling data-informed decisions at an organizational level.
• Drive day-to-day product analytics and create scalable, reusable data tools and frameworks that elevate the entire team's analytical capability.
• Build and scale advanced analytical capabilities; leverage Airbnb's state-of-the-art machine learning infrastructure and central data science tools to collaborate with engineers, product managers, designers, and operations agents to achieve shared, cross-functional goals.
• Champion AI-first analytics practices across the team identifying high-impact opportunities to integrate LLM-based tools, AutoML, and advanced AI capabilities into analytical workflows.
• Demonstrate a strong sense of urgency and commitment to Airbnb's mission of belonging.
• Develop a deep understanding of how guests and hosts interact with our Community Support platform and how we can manage risk while meeting regulatory compliance requirements through structured and unstructured data sources.
• Mentor and guide junior analysts, fostering a culture of analytical rigor, curiosity, and continuous skill development.
A Typical Day:
• Drive the product analytics roadmap, prioritization, and delivery of solutions in the Strategic Planning & Operations space, operating with minimal direction and planning up to 6 months ahead.
• Lead projects end-to-end: building timelines, defining key milestones, providing regular updates to product managers and analytics leadership, and delivering against agreed timelines.
• Work closely with Product Managers and Business leads to design, execute, and evaluate A/B tests; proactively identify and communicate common pitfalls and caveats of experimentation.
• Build credibility and trust with the team by building high-quality ground truth datasets and dashboards that empower stakeholders to answer data questions quickly and independently.
• Collaborate with Product Engineering to spec out logging and with Analytics Engineering to build scalable data tools for mass consumption within Airbnb.
• Devise business metric frameworks and optimization models to support Airbnb's product, operations, and policy decisions at scale.
• Influence data-driven decisions across global sites and business verticals via business reviews, self-serve portals, planning scorecards, and impact analyses.
• Experiment with new Airbnb policy/product features to help deter and mitigate risk; translate findings into actionable recommendations for leadership.
• Lead and influence machine learning model development in partnership with DS/Engineering teams to automate policy enforcement decisions, while routing the most complex cases for manual review.
• Proactively identify opportunities to apply AI-assisted tools (e.g., LLMs, AutoML, NLP pipelines) to accelerate analytical delivery and unlock new analytical capabilities.
• Ensure the availability of data quality and integrity for analysis and reporting by blending external and internal data sources, working closely with global operations and India analytics functions.
Your Expertise:
• 8+ years of industry experience with an advanced degree (Master's or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
• Expert-level SQL; complex query optimization, performance tuning, and schema design; strong understanding of ETL/ELT pipelines; working knowledge of data transformation tools.
• Programming & Statistical Modeling: Advanced proficiency in Python (pandas, numpy, scikit-learn, statsmodels); ability to build and deploy end-to-end analytical models; experience with advanced regression techniques, time-series analysis, and causal inference.
• Experimentation & Analytical Frameworks: Expert-level A/B testing and multivariate testing; advanced experiment design including power analysis, switchback testing, and quasi-experimental methods (diff-in-diff, regression discontinuity); digital funnel and cohort analysis.
• Machine Learning & AI (Proficient): Proficiency in ML techniques including EDA, hypothesis testing, linear/logistic regression, SVM, ridge/lasso regression, random forest, NLP, KNN, and K-means; hands-on experience with LLMs (e.g., ChatGPT, Gemini, Claude) and applied prompt engineering; ability to independently deploy AI tools to solve analytical problems; awareness of responsible AI, data privacy (GDPR/CCPA), and bias mitigation.
• Experience with forecasting and advanced econometric modeling is a requirement.
• Visualization & Storytelling: Advanced proficiency in Tableau, Power BI, or equivalent BI platforms; ability to design and build executive-level dashboards and self-serve analytics portals; strong data storytelling and presentation skills for senior leadership audiences.
• Data Foundations: Strong working knowledge of Presto, Hive, Teradata, and Spark; experience designing scalable data models for analytical consumption.
• AI tool proficiency: Independently applies AI tools (LLMs, AutoML, NLP pipelines) to solve complex business problems.
• Designs and implements AI-enhanced analytical workflows that can be adopted team-wide.
• Evaluates and selects appropriate AI models for specific use cases; understands trade-offs between model complexity, interpretability, and performance.
• Champions responsible AI principles including bias detection, model fairness, and compliance with data privacy regulations (GDPR/CCPA).
• Contributes to AI-first culture by sharing best practices, running enablement sessions, and identifying new AI use cases.
• Proven ability to lead and influence cross-functional teams and senior stakeholders in a cross-cultural environment without direct authority.
• Exceptional communication skills; able to translate complex analytical findings into clear, actionable narratives for both technical and non-technical audiences.
• Proven track record of delivering full-stack data projects from inception to measurable business impact.
• Strong mentoring and coaching skills; demonstrated ability to develop junior talent.
• Positive, solution-oriented mindset with the ability to maintain confidentiality and objectivity.
• Exceptional problem-solving abilities, self-motivation, and autonomy; strong organizational and time management skills with the ability to manage multiple high-priority workstreams and meet deadlines.
• Proficiency in agile project management practices and tools (e.g., Jira/Asana).
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.
Please note, this role is based in Gurugram, India and relocation is not offered at this time. 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 shown below is annualized, is inclusive of allowances and is subject to change and may be modified in the future. This role may also be eligible for bonus or incentives, one or more equity programs, benefits, and Employee Travel Credits.
India Annual Pay Range ₹3,080,000 — ₹4,400,000 INR
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.