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: MarTech Data Science Measurement empowers Airbnb to optimize marketing ROI by generating data-driven recommendations. We lead the way in defining and advancing best practices for measuring and optimizing marketing impact. We collaborate with Marketing, Finance, and Engineering to provide actionable recommendations and tools based on effective, timely, and granular measurements. Our team’s tenets are: - Actionable: Deliver insights that drive confident business decisions. - Impactful: Prioritize projects based on their expected value to Airbnb. - Balanced: Adapt methods to business questions and data realities, acknowledging limitations. - Rigorous: Maintain methodological integrity and quantify the sensitivity of findings. - Innovative: Invest in advancing measurement science and developing new methods. - Influential: Share learnings across Airbnb and the broader data science community. The Difference You Will Make: We are seeking an experienced (Contract) Sr. Data Scientist for a 24 month contract with deep expertise in marketing measurement, with a particular focus on Marketing Mix Modeling (MMM) and geo-based causal inference. The ideal candidate brings strong statistical intuition and hands-on modeling experience to quantify the incremental impact of Airbnb's marketing investments across channels and geographies. They are fluent in Python, comfortable working with Bayesian frameworks, and can translate complex measurement findings into clear, actionable recommendations for senior stakeholders. A Typical Day: - Marketing Mix Modeling: Design, build, and maintain MMM models that estimate incremental channel contributions, including prior elicitation, adstock/saturation modeling, validation, and sensitivity analysis. - Geo-Based Measurement: Develop and analyze geo-experiments (synthetic control, difference-in-differences) to measure marketing incrementality and validate MMM outputs. - Measurement Infrastructure: Build and maintain data pipelines and automated measurement systems ensuring reproducibility and scale. - AI-Accelerated Prototyping: Use AI agent workflows to rapidly develop v0 prototypes and spec-driven model implementations — compressing weeks of iteration into days. - Productionalization: Refine research prototypes into production-grade systems with proper unit testing, data validation, and code review standards. - Insight Communication: Translate complex measurement findings into clear narratives and confident budget recommendations for Marketing and Finance stakeholders. Your Expertise: - 5+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (computer science, statistics etc.), or 2+ years of experience with a Ph.D. - Deep, hands-on experience building and validating Marketing Mix Models in a production setting. - Strong working knowledge of causal inference methods, including geo-experimentation and observational approaches. - Proficiency in Python and R for statistical modeling, and SQL for data manipulation. - Ability to communicate complex concepts clearly to stakeholders at varying technical levels. - Proven track record of solving business problems through data science methods. Preferred Expertise: - Passion for marketing and consumer science, with a desire to stay informed about the latest advances in the field. - Familiarity with Bayesian modeling and its applications in marketing. - Working knowledge of AI coding agents for accelerating prototyping, spec-driven development, and multi-agent workflows. - Experience in developing end-to-end models for data-driven 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. How We'll Take Care of You: Our job titles may span more than one career level. The actual hourly rate is dependent upon many factors, such as: education, experience, and skills. The hourly rate 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 $140—$150 USD

• Process and clean structured and unstructured data for AI/ML pipelines. • Prepare training-ready datasets for LLM fine-tuning and evaluation workflows. • Support RAG and NL→SQL systems through data preparation and validation. • Perform data quality checks and ensure completeness and consistency. • Assist in building and maintaining data pipelines and APIs (e.g., FastAPI). • Collaborate with engineering teams to troubleshoot and optimize data workflows.

• Conduct advanced statistical and exploratory data analysis which will also include wrangling, cleaning, and preprocessing data • Develop state-of-the-art deep neural network architectures in both image and text domains. • Derive metrics for models performance evaluation and conduct metric monitoring • Research new techniques and best practices within the industry • Explore state-of-the-art academic papers • Work with cross-functional partners across the business

Aalis Management Consulting is an 8(a) certified Service-Disabled Veteran-Owned Small Business (SDVOSB) and Economically Disadvantaged Woman-Owned Small Business (EDWOSB) driven by the same principles that guide our armed forces. Founded by a US Army veteran, we take pride in our core values: excellence in reputation, commitment, candor, teamwork, and dependability. Our team delivers stakeholder-focused support in the areas of Acquisition & Procurement Support, (IT) Financial Management, Program Management, and Logistics & Supply Chain Support. Visit us at www.aalismc.com Title: Data Science Fellow (Summer 2026 Cohort Current Undergraduate Students Only) Client: Federal Agency Location: Remote Clearance: None Work Schedule: 8 am – 5 pm Work Day: Monday – Friday Period of Performance: June 1, 2026 – August 31, 2026 Hourly Rate: $18.00 an hour Openings: 5 Aalis Management Consulting is hiring five (5) Data Science Fellows to support a Summer 2026 federal data analytics project. Fellows will work full-time in a remote environment from June 1, 2026, through August 31, 2026, supporting data-focused initiatives including analytics, dashboard development, visualization, and statistical programming. This opportunity is designed for current undergraduate students pursuing degrees in data science or related technical disciplines who want hands-on experience supporting a structured federal client environment. Key Responsibilities - Perform data collection, cleaning, transformation, and analysis - Support the development of dashboards and data visualizations - Assist with statistical programming using Python and/or R - Convert basic statistical or analytical programs into Python or R - Support lightweight prototype development and basic data pipeline tasks - Assist with dashboard documentation, user guides, and training materials - Provide analytical support for reporting and decision-making tools - Work within established federal project processes and timelines - Complete onboarding and security requirements as required for federal support Minimum Qualifications - Must be a current undergraduate student at an accredited college or university - Academic focus in one of the following or closely related field: - Data Science - Data Analytics - Statistics - Computer Science - Mathematics - Information Systems - Geographic Information Systems (GIS) - Up to 4 years of total experience (including internships, research, or coursework) - Experience with Python and/or R - Exposure to data analysis, visualization, or dashboard tools - Strong written communication skills - Ability to produce clear documentation and training materials Preferred Qualifications - Experience with Tableau, Power BI, or similar dashboard tools - Coursework or projects involving data cleaning, modeling, or visualization - Experience with Git, Jupyter, or similar development tools - Internship, research, or academic project involving real datasets - Ability to work independently in a remote, structured environment Aalis Management Consulting is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.