Dropbox is a Virtual First company. For this role, we are currently only authorized to hire candidates from the following provinces: Alberta, British Columbia, Ontario, and Saskatchewan.
Company Description
Dropbox isn't just a workplace--it's a living lab for more enlightened ways of working. We're a global community of bold visionaries and resourceful doers who are shaping the future of Dropbox--and with it the future of work. Our Virtual First model combines the autonomy of a distributed workplace with the power of human connection, making space for both meaningful work and meaningful relationships. With our start-up mindset and enterprise-level opportunities, you can be who you are and grow into who you're meant to be. Here, you can own your impact to make work more intuitive, joyful, and human--for you as a Dropboxer and for hundreds of millions of people worldwide. If you're ready to push boundaries--and yourself-- Dropbox is ready for you.
Team Description
The Dropbox Product Management Team envisions and builds the future of work while growing our business, one product at a time. We're strategic thinkers and advocates for our users, crafting solutions that make work more intuitive and joyful. Using data, research, and strategy--and a healthy dose of empathy--we guide cross-functional teams toward the shared goal of creating transformative products that people love to use. If you're passionate about building solutions that reshape how the world works while delighting users in the process, join our Product Management team.
Areas of work include Product Management, Product Strategy, User Research, Data Analytics, Product Operations, Growth Strategy, and Go-to-Market Planning.
Role Description
We're looking for a Data Scientist to partner with product, engineering, and design 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
Develop a deep understanding of customer journey phases and key business metrics
Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes
Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends.
Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets
Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
Understand what matters most and prioritize ruthlessly
Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
Requirements
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