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

Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
3-5 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
Product analytics experience in a SAAS company
Masters’ or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field

Remote (Worldwide)

This role requires travel to offsites and various other team gatherings (approximately 5-10% of the year or 2-3 days per quarter).
We provide advance notice when possible and encourage candidates to discuss any accommodation needs during the interview process.
Dropbox’s Virtual First way of working is designed to help people do their best work with flexibility, autonomy, and connection.
Day to day, teams work remotely with nonlinear schedules and core collaboration hours that support deep focus and individual working styles.
We prioritize asynchronous communication to improve clarity, respect deep work time, and reduce unnecessary meetings.
While remote work is the primary experience for our employees, we also prioritize intentional, in-person connection.
We bring teams together through regular team gatherings, on-demand workspaces, and Dropbox Neighborhood events in order to strengthen team cohesion, foster creativity, and enhance momentum.
Virtual First is built to provide the same access to opportunity, growth, and impact for everyone, regardless of location.

Hello Frank is hiring a Data Scientist