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Role Description

We're looking for a Data Scientist to partner with revenue, marketing, 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.  


  • 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


  • 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 & 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
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