Airbnb

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:​ Guest Experience is responsible for Search and Discovery, Merchandising, and end-to-end online software experience worldwide from top-of-funnel discovery through post-booking engagement. We are looking for a talented Data Scientist to join the Guest Data Science team. This tech lead will be at the core of using AI and casual inference to understand user behavior in our app, detect underlying intent, and to build data products needed to provide a compelling and personalized experience of our app. We build products that help guests find the inventory most relevant to them in our marketplace. The Difference You Will Make:​ As a Senior Staff Data Scientist, you will lead innovation efforts to build methodologies to identify and evaluate the preferences important to every guest, at every step of their online discovery funnel. You will be instrumental in shaping our data strategy to drive guest conversion and regular engagement with the Airbnb platform across our Homes, Experiences and Services business verticals.  This role emphasizes technical excellence and driving business impact with cutting-edge science. Your role will involve close collaboration with Product to identify in-product optimizations and shape UX design architecture to path how guests navigate from surface-to-surface in our app. The ideal candidate will demonstrate to be a domain expert with granular user behavior and sequence datasets in a marketplace setting. You will hold a high bar for our customer experience and balance a passion for AI with a strong desire to accurately understand user behavior and business success. Your efforts towards personalized content discovery will help make Airbnb feel tailored for you, maintaining a dialogue with our guests to deeply understand their preferences and reflect that understanding back to them, enabling every guest to easily discover the travel they will love.   A Typical Day: ​ • Learn: Develop deep understanding of how guests navigate and re-engage with our app via analysis, research, and by leveraging granular user action and sequence datasets. • Partner: With product and engineering, drive technical frameworks and science leadership to explore innovative paradigms for detecting revealed preferences and quantifying online frictions. • Build: Write code for prototypes to detect and quantify taxonomy of guest preferences via iterative development of data frameworks, models and artefacts derived from AI toolkits • Evaluate: Assess assumptions and efficacy of derived guest preferences via measurement and validating hypotheses linked to online guest action and engagement. Setup experiments and data feedback loops to own a high bar over continuous impact. • Influence: Regularly present findings and recommendations to leadership audiences to inform strategy and cross-functional deliverables. • If you’re passionate about going deep into personalized user experiences, we want to hear from you! Your Expertise:​ • Causal inference expertise with marketplace experience • Preferred domain experience in search, UX discovery, personalized evidence systems • Advanced degree in Computer Science, Statistics, Econometrics or related field. • 9+ years of industry experience with a PhD (or 12+ years with a Masters) • Strong in communication with XFN partners in product, engineering, and design to enable data-driven product development with a focus on the user experience. • Expert in at least one programming language for data analysis (Python or R) with familiarity in SQL. Comfort with developing proof-of-concept prototypes. Passionate about AI and possessing a learner’s mindset towards LLMs and dynamic systems. • Proven ability to succeed in both collaborative and independent work environments • Demonstrated willingness and track record of engagement with the technical community 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. 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 $224,000—$280,000 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.

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:​ The BizTech BI&Analytics team partners with business and finance stakeholders to deliver scalable self-serve analytics & AI transformation programs, budgeting & forecasting solutions, reliable data pipelines, and trusted metrics & dashboards. Empowering timely, compliant, data-driven decisions and a robust analytics foundation across Airbnb. The Difference You Will Make:​ We are seeking a skilled Senior Systems Engineer to support our Oracle EPM Planning systems and processes, with a strong focus on bringing AI automation and AI agent capabilities into Finance workflows. This is an important role within the Airbnb BizTech organization supporting Finance. The ideal candidate combines solid technical depth in the Finance Budgeting and Forecasting function with hands-on experience building AI automation and AI agents. Responsibilities include financial forecast modeling, system and AI-driven process transformation, integration with the data warehouse, and translating business requirements into scalable Oracle EPM and AI-enabled solutions. A Typical Day:​ Technical Support & System Admin​ • Application: Support the design, configuration, and maintenance of Oracle EPM Planning modules (Financials, Workforce, Capital, Cash Forecast, Long Range Planning, etc). • Calculations & Modeling: Develop and maintain business rules and calc scripts. Proficiency in Groovy Scripting for data and forecast modeling. • Data Integration: Support data flows with AWS data warehouse, Oracle ERP Cloud, and Workday, leveraging Data Management, EPM Automate, and internal Airbnb integration tools. • Environment Management: Assist with the monthly Oracle patch cycle, including regression testing and impact analysis of new features. FP&A Functional Support​ • Process Improvement: Partner with FP&A to streamline the budget and forecasting process by automating manual offline models and enhancing data integration to reduce forecast cycle time and improve accuracy. • Reporting & Analytics: Build and maintain reports using EPM Reports; support finance users in Smart View with ad-hoc analysis and template creation. • User Support: Support the monthly forecast cycle, resolving issues promptly and engaging Oracle support when needed. AI Automation & Agent Development​ • AI Agent Building: Design, build, and deploy AI agents and automated workflows that streamline FP&A processes, using both native EPM AI capabilities and external AI/automation tooling. • Process Automation: Identify manual, repetitive finance and systems processes and apply AI automation to reduce cycle time and manual effort. • Collaboration: Work with Finance and Tech partners to prioritize AI automation opportunities and deliver AI-generated forecasts, analyses, and insights. Your Expertise:​ • 5+ years of hands-on experience in Oracle Hyperion/EPM (minimum 2 years in EPM Cloud). Experience with EPM Automate, Groovy scripting, building forms, reports, application optimization, and administering user access. • 3+ years of experience supporting finance functions (FP&A, Accounting, Treasury, Tax) with solid financial statement literacy. • Hands-on experience building AI automation and AI agents (for example, agentic workflows, LLM-based automation using tooling such as Claude, Gemini, GPT - not specific to EPM's built-in AI). • Proficiency in SQL for data validation, pipeline troubleshooting, and ad-hoc analysis against warehouse tables. • Experience supporting integrations between Oracle EPM and ERP via OIC or equivalent middleware. • Experience operating data orchestration and ETL/ELT pipelines: monitoring workflow health, managing and re-running failed tasks, reviewing execution logs, and coordinating pipeline incidents with owning teams. • Strong written and verbal communication skills; able to work with cross-functional stakeholders and clearly document technical processes for non-technical audiences. • Ability to translate business requirements into scalable solutions within or outside of EPM Planning, and to recommend options for decision making.   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 $164,000—$193,000 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.