Dropbox31.03.2026

Data Scientist

Remote - Canada: Select loca…

Обязанности

01Develop a deep understanding of customer journey phases and key business metrics
02Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
03Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
04Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes
05Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends
06Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets
07Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
08Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
09Understand what matters most and prioritize ruthlessly
10Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

01Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
023 -5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
03Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
04Significant experience with SQL and large unstructured datasets such as Hadoop
05Deep understanding of statistical analysis , experimentation design, and common analytical techniques like regression , decision trees
06Solid background in running multivariate experiments to optimize a product or revenue flow
07Strong verbal and written communication skills
08Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus