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Job Description* The Job: Airbnb has become a platform that connects travelers and hosts from over 81,000 cities around the globe. To power that community, Airbnb is building a world-class payments platform that currently supports over 190 countries, 70+ currencies, connects dozens of payment providers, and transmits billions of dollars per year. Our goal? To empower people and communities to participate in our global marketplace and innovate on a future where payments on Airbnb can be completely trusted, transparent, and simple. As our platform grows, the payments team is building a scalable foundation to support global scale, helping the company grow by bringing new markets and demographics to the platform, protecting our community from bad actors, and enabling new business products to thrive by providing easy to use and trusted payment experience. Our data science team is working to provide statistical insights and intelligent data products that will enable us to scale our platform and empower our entrepreneurs all around the world. About You: We are looking for a passionate data scientist to identify and execute scalable ways to improve our platform’s payment experience and to bring a scientific approach to product decision making. This data scientist will perform careful hypothesis generation, causal inference testing, and model development that will drive payment strategies on our platform. Our Data Scientists have a deep understanding of causal framework development, statistical analysis & modeling, and the complications of running experiment/quasi-experimental methods in a two-sided marketplace. They also have keen business sense and are able to utilize their findings to drive our data & product roadmaps. Examples of projects you may work on include, development of novel metrics and frameworks to trade off against competing metrics, generating deep intelligence and causal inference frameworks to determine the impacts of new payment products, and building data products and models to optimize guest, host, and business outcomes. Examples of responsibilities we currently need help with: Define novel metrics and their relationships to measure business success. Work with cross-functional partners to design and execute controlled experiment/quasi-experimental methods to quantify the effects of product changes. Develop methodologies to explore and exploit growth opportunities and build data products to optimize product/operational strategies in the payments sphere. Help our business partners understand metric trade-offs and influence business decisions. Qualifications we value: An ideal candidate should possess a good balance of statistical/technical skills, business acumen, and communication skills . A driven individual who’s keen to solve hard business problems is desired. Ideal Background and Skillset: 5+ years in industry experience and a Master's degree/PhD in a quantitative field Skilled in statistical programming (Python or R) and database usage (SQL) Deep knowledge of statistical modeling and casual inference methodologies (including experimentation and quasi-experimental methods). Ability to solve complex business problems by identifying and using appropriate scientific frameworks and models Ability to communicate clearly and effectively to cross functional partners of varying technical levels and drive impact Ability to translate complex findings and results into a compelling narrative Payments/Risk domain expertise is a strong plus Belonging & Accommodations Airbnb is committed to working with the best and brightest people from the broadest talent pool possible. We believe a diversity of ideas fosters innovation and engagement, and allows us to attract the best people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. If you need assistance, or a reasonable accommodation during the application and recruiting process, please connect with your talent sourcing partner.

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