Senior Data Scientist

Yesterday

Apply Now

Receive Emails with Similar Jobs

Dropbox

WebsiteLinkedInAll Job Openings

Cross-platform file sync • File sharing • Online backup • Cloud storage • Collaboration

1001 - 5000 employees

Founded 2007

🏢 Enterprise

⚡ Productivity

Description

• We're looking for a Senior Data Scientist to partner with engineering and product teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. • 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 to rapidly execute and iterate

Requirements

• 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