Role Description

We're looking for a Staff, 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, & launch high-impact initiatives. We solve challenging problems & boost business growth through a deep understanding of user behaviors with applied analytics techniques & business insights. An ideal candidate should have robust knowledge of consumer lifecycle & behavior analysis, customer segmentation, digital campaigns, monetization analytics & business operations for a SaaS company.  

Responsibilities

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

Requirements

• Bachelors or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 8-10+ 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 & large unstructured datasets such as Hadoop
• Deep understanding of statistical analysis, experimentation design, & common analytical techniques like regression, decision trees
• Solid background in running multivariate experiments to optimize a product or revenue flow
• Strong verbal & written communication skills
• Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus