Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. It takes a unified team committed to our core values to achieve this goal. Airbnb's various functions embody the company's innovative spirit and our fast-moving team is committed to leading as a 21st century company. The Trust organization protects, guides, and mobilizes the creation and defense of trust in our community a[ "Skills:\n\n\n\t. Collaborate with a strong team of engineers, produc...
job summary: Description Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. It takes a unified team committed to our core values to achieve this goal. Airbnb's various functions embody the company's innovative spirit and our fast-moving team is committed to leading as a 21st century company. The Trust organization protects, guides, and mobilizes the creation and defense of trust in our community a
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Skills:
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Collaborate with a strong team of engineers, product managers, designers and operations agents to achieve shared, cross-functional goals to help keep Airbnb's community safe and trusted.\n\t
Use a combination of data engineering, science and analytics based skills to build the business insights platform to detect and support the mitigation of potential fraud behavior across the Airbnb platform\n\t
Perform data modeling of the various entities involved in the Trust creation and defense including hosts, guests, agents, and others using tools & frameworks for optimizing community end-to-end journey by minimizing undesired frictions while introducing proactive product defenses on our platform\n\t
Defining and evaluating key metrics in an unstructured problem space. Developing and communicating a robust understanding of what moves these metrics and why\n\t
Investigating challenging questions around the user experience to understand the voice of our users at scale\n\t
Partnering cross-functionally with product, engineering, legal, design and operations, as well as with other data science teams, to implement and measure models that drive product development\n\t
Influence data-driven decisions across business verticals in day-to-day via business reviews, scorecards, self-serve portal, OKRs and planning among others\n\t
Influence experimentation & measurement strategies; conduct power analyses, define exit criteria, and use statistical models to improve inference. Your expertise in causal inference as well as passion for the subject matter will help you address this unstructured space\n\t
Providing technical mentorship to other data scientists, ensuring a high level of scientific rigor We are looking for people who have\n\t
A minimum of 7+ years of industry experience in business analytics with an emphasis on Trust & safety product and operations scalability; and on developing business facing metrics and solving future business decisions. Have experience on a trust and safety team and/or have worked closely with policy, content moderation, or security teams\n\t
Expert skills in SQL and expert in at least one programming language for data analysis (Python or R)\n\t
Experience with non-experimental causal inference methods, experimentation and machine learning techniques, ideally in a multi-sided platform setting\n\t
Experience in schema design and high-dimensional data modeling (ETL framework like Airflow)\n\t
Demonstrated ability to create and drive product roadmaps for the business, then seamlessly execute against them\n\t
Proven ability to tailor your recommended solutions to business problems to a cross functional team, with the ability to communicate clearly and effectively with cross functional partners of varying technical levels\n\t
Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain and complex environment - comfortable acting with minimal planning, direction, and supervision. You can identify issues both within and outside of your immediate scope, and propose solutions.\n\t
Absolute ability to maintain confidentiality and objectivity\n
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