Company Description
Dropbox is a special place where we are all seeking to fulfill our mission to design a more enlightened way of working. We\'re looking for innovative talent to join us on our journey. The words shared by our founders at the start of Dropbox still ring true today. Wouldn\'t it be great if our working environment-and the tools we use-were designed with people\'s actual needs in mind? Imagine if every minute at work were well spent-if we could focus and spend our time on the things that matter. This is possible, and Dropbox is connecting the dots. The nearly 3,000 Dropboxers around the world have helped make Dropbox a living workspace - the place where people come together and their ideas come to life. Our 700+ million global users have been some of our best salespeople, and they have helped us acquire customers with incredible efficiency. As a result, we reached a billion dollar revenue run rate faster than any software-as-a-service company in history. Dropbox is making the dream of a fulfilling and seamless work life a reality. We hope you\'ll join us on the journey.
Team Description
Our Product team advocates for our users and our business, setting the vision for our growing family of products. We use data, research, strategy, and empathy to guide multidisciplinary teams toward a common goal, balancing diverse perspectives and empowering our teams to do great work. As we scale globally, there\'s plenty of space for you to grow alongside us and simplify life for millions of people around the world in team that always focuses on we, not I, and creates delightful products that are worthy of trust.
Role Description
We\'re looking for a Data Scientist to partner with revenue, marketing, and product teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company.
Responsibilities
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