Data Scientist, Growth - Location Flexible

San Francisco, CA; Remote - US

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Posted 1 week ago

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

Responsibilities

  • 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 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 
  • 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

Requirements

  • Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
  • 3-5 years experience using analytics/data science 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
  • Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus
  • Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
  • Strong verbal and written communication skills
Job tags: Business Intelligence Consulting Economics Engineering Hadoop Marketing Python R Research SQL
Job region(s): North America Remote/Anywhere
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