Work Styles at Zoom In most cases, you will have the opportunity to choose your preferred working location from the following options when you join Zoom: in-person, hybrid or remote. Visit this page for more information about Zoom's Workstyles. About Us Zoomies help people stay connected so they can get more done together. We set out to build the best video product for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment. Zoom is an award-winning workplace. We have been recognized by Comparably as #1 CEO, Company Happiness, Benefits, Compensation, Diversity, and more! Not to mention we’ve been awarded by Glassdoor as the 2nd Best US workplace & Best Large Company US CEO in 2018, Wealthfront, and Business Insider. Our culture focuses on delivering happiness, our commitment to transparency, and the tangible benefits we provide our employees and our customers. And we live our mission by allowing individuals to choose the workstyle (remote, hybrid or in-person) that best suits them! The Data Team empowers data informed decision making across Zoom. We know that to deliver customer happiness we need to build best in class products. We support this by empowering Product with behavioral insights to help them build better products. While providing these insights, we also need to ensure that we’re meeting the consent, privacy, and regulatory needs of hundreds of millions of users worldwide. This role will be part of the Product Intelligence team and will be collaborating closely with other data engineers, data analysts and data scientists. The Product Intelligence team works very closely with the Product team to extract insights and build ML models around user behavior that help build better products and user experiences. This role will work closely with Product, Engineering and the Big Data team to help ensure the success of data initiatives to support all of Zoom’s products. The ideal candidate will have extensive experience building and maintaining data pipelines as well as transforming that data into performant and scalable data models that takes business context into account. This individual should demonstrate strong communication skills, collaboration and an intellectual curiosity. Does this sound like you? Come join us! Responsibilities
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