Data Scientist, Inference

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 that 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. Community You Will Join MarTech Data Science Measurement empowers Airbnb to optimize marketing ROI through data‑informed decision‑making. 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. Difference You Will Make We are seeking an experienced Data Scientist with deep expertise in causal inference methodologies, including experimental and observational approaches. The ideal candidate will be capable of hands‑on data work to produce insights and recommendations for stakeholders, driving impactful decisions in our marketing efforts. What We Value 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. A Typical Day Apply and develop causal inference methods to estimate the effectiveness of Airbnb’s marketing initiatives. Conduct data pulls, analyze trends, and create new features to support measurement efforts. Design and analyze experiments to evaluate the impact of marketing campaigns. Work effectively with cross‑functional teams, providing insights that optimize marketing strategies. Lead the creation of internal white papers and contribute to Airbnb tech blog posts. Your Expertise PhD in Economics, Statistics, Marketing, or a related field, or a Master’s degree in a similar field with 2+ years of experience. Deep knowledge of causal inference methodologies and experimentation techniques. Proficiency in statistical programming (Python or R) and database usage (SQL). 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 PhD in Economics, Statistics, Marketing, or a related field. Passion for marketing and consumer science, with a desire to stay informed about the latest academic research. Familiarity with Bayesian modeling and its applications in marketing. Experience with causal ML modeling. 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 with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. 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: 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 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: $148,000—$174,000 USD. #J-18808-Ljbffr