高级分析师，欺诈与安全调查
Senior Advanced Analyst, Fraud & Safety Investigations
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，如今已发展为拥有超过 500 万位房东，在全球几乎所有国家都接待了超过 20 亿次旅客。每天，房东们提供独特的住宿和体验，让旅客能够以更真实的方式与社区建立联系。
**职位描述**
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，如今已发展为拥有超过 400 万位房东，在全球几乎所有国家都接待了超过 10 亿次旅客。每天，房东们提供独特的住宿和体验，让旅客能够以更真实的方式与社区建立联系。
Airbnb 位于印度的分析卓越中心（ACOE）是知识和专业技能的中心，旨在通过数据驱动的决策支持 Airbnb 的业务目标。ACOE 的愿景是打造一个世界级的分析组织，提供可扩展的分析能力。我们与支付、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等多个业务职能进行协作。
ACOE 的交付框架旨在为数据驱动的决策提供相关且上下文相关的洞察。这包括指标的一站式解决方案、推动可操作见解的仪表板、性能优化、测量功能前后的影响、估算机会的 ROI、优先级排序机会、基于异常的警报机制、指标偏差的根本原因分析以及探索性假设测试。
**你将加入的团队：**
我们正在寻找一位高级分析师加入印度分析团队，该分析师将与欺诈与安全交付团队合作。该分析师必须具备构建分析解决方案的功能专业知识，并作为产品团队和业务领导的值得信赖的合作伙伴，通过提供洞察、建议并推动数据驱动的决策，跨市场团队开展工作。该职位隶属于高级分析家族，并支持我们欺诈与安全组织内的产品和业务领导者。
**你将带来的影响：**
- 与技术和业务团队合作，开发稳健的洞察，创建数据叙事，并利用 Airbnb 丰富的数据定义指标。
- 构建先进的分析能力和工具，热衷于用数据解决复杂问题；带来新的视角
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.
**Description**
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 analytics. We work with various business functions such as payments, trust, digital, customer support, hosting, sales, social, compliance, risk, platforms and partnership & 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 senior advanced analyst in our India Analytics team who works with the Fraud & Safety Delivery team. The analyst must have functional expertise in building analytical solutions and be a trusted partner to product teams and business leaders, across marketplace teams through providing insights, recommendations, and enabling data driven decisions. This role will sit under the Advanced Analytics family and support Product and Business leaders within our Fraud & Safety organization.
**The Difference You Will Make:**
- Work with technical and business teams to develop robust insights, create data narratives and leverage Airbnb’s rich data to define metrics.
- Build advanced analytical capabilities and tools, passionate about solving complex problems with data; adding a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis.
- Leverage Airbnb’s state-of-art machine learning infrastructure, and other central data science tools to build and collaborate with a strong team of engineers, product managers, designers and operation agents to achieve shared, cross-functional goals.
- You have a strong sense of urgency for and commitment to Airbnb’s mission of belonging.
- Develop a deep understanding of how guests and hosts interact with our Fraud & Safety frictions and how we can manage our risk while meeting our regulatory compliance requirements, through structured and unstructured data sources.
**A Typical Day:**
- Execute projects with regular direction; Set a roadmap for projects up to a quarter ahead providing constant updates to business stakeholders, analytics management and deliver against agreed timelines.
- Ensure the availability of data quality and data integrity for analysis and reporting, by blending external and internal data, working closely with global operations and India analytics functions.
- Perform data modeling for the various entities involved in Airbnb including customers, hosts, cases, agents, and others using modern data modeling tools and frameworks to provide the analytical foundation.
- Execute ad-hoc reporting, data investigations, and root cause analysis into various operational areas including policy incubation, enforcement efficacy, prevalence, efficiency, agent tooling, agent staffing & optimization, and agent quality & efficiency to identify and solve for operational bottlenecks and inefficiencies.
- Devise business metric frameworks and optimization models to make optimal business decisions that support arguments for Airbnb’s product, operations and policy issues
- Influence data-driven decisions across global sites and business verticals in day-to-day via business reviews, self-serve portal, planning scorecards, and impact analyses among others.
- Experiment with new Airbnb policy / product features to help deter and mitigate risk
- Influence machine learning models in partnership with DS / Engg teams to automate policy enforcement decisions, while enqueueing the most complex cases for manual review by agents
**Your Expertise:**
- 6+ years of industry experience and an Advanced degree in Business Analytics or other (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
- Good communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences
- Proven track record of delivering full stack data projects from inception to business impact.
- Advanced level proficiency in SQL/NoSQL, programming languages such as Python, R, SAS and Intermediate level knowledge of data foundations and databases like Presto, Hive, Teradata, Spark.
- Advanced level proficiency in statistical and machine learning techniques, Tableau or similar BI platform to develop reports and dashboards
- Familiarity with EDA, hypothesis testing, significance testing, linear regression, logistic regression, SVM, ridge regression, lasso regression, random forest, basic concepts of NLP, KNN, K-Means, A/B testing, multivariate testing, and digital funnel testing.
- Have a positive and solution-oriented mindset with an ability to maintain confidentiality and objectivity.
- Exceptional problem-solving abilities, self-motivation and ability to work autonomously, strong organizational and time management skills, with the ability to manage multiple priorities and meet deadlines.
- Knowledge and experience in Fraud & Safety operations, systems and tools would be a plus
**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.
**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
₹1,960,000—₹2,800,000 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](http://airbnb.com) or @ [ext.airbnb.com](http://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.