Senior Data Scientist, Dropbox

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 5-8 + years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
• Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
• Significant experience with SQL and large unstructured datasets such as Hadoop
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Solid background in running multivariate experiments to optimize a product or revenue flow
• Strong verbal and written communication skills
• Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus

Desirable

• 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
• 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
• 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