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Airbnb

Data Scientist - Inference, Community Support

DataFull-TimeMid-Level
Location
Worldwide
Job Type
Full-Time
Experience
Mid-Level
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Job Description

ABOUT THE ROLE As a Data Scientist - Inference, Community Support at Airbnb, you will play a critical role in driving the company's mission to create a world where anyone can belong anywhere. Our Community Support team is dedicated to delivering exceptional customer service experiences, and we are seeking a skilled data scientist to join our team and help us make a meaningful impact. WHAT YOU'LL DO You will be responsible for leveraging data and analytics to inform business decisions, drive process improvements, and develop data-driven solutions to complex problems. This will involve working closely with cross-functional teams to design and implement data-driven solutions, analyzing large datasets to identify trends and insights, and communicating complex data findings to stakeholders. Your work will focus on inference and data modeling, with a particular emphasis on supporting the Community Support team's efforts to deliver exceptional customer experiences. WHAT YOU'LL NEED To be successful in this role, you will need a strong background in data science, including experience with machine learning, statistical modeling, and data visualization. You should be proficient in programming languages such as Python or R, and have experience working with large datasets. A bachelor's degree in a quantitative field such as mathematics, statistics, or computer science is required, and a master's degree or Ph.D. is preferred. WHY REMOTE Airbnb is a remote-first company, and this role will be fully remote. As a remote employee, you will have the flexibility to work from anywhere in the world and will be part of a global team that is passionate about creating a world where anyone can belong anywhere. BENEFITS Airbnb offers a comprehensive benefits package, including a competitive salary, health insurance, parental leave, education stipend, and life insurance. We also offer a flexible schedule and opportunities for professional growth and development.