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Senior Data Scientist

Dropbox

$149,600 - $227,700
Nov 18, 2025
Remote, US
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Improving key parts of the core product through re-envisioning the user experience, integrating AI features, and building new functionality to drive business growth at the company

Requirements

  • Significant experience with SQL
  • 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
  • Proficiency in programming/scripting and knowledge of statistical packages like Python is a plus
  • Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
  • 6+ years experience using analytics to drive key business decisions
  • Product analytics experience in a SAAS company

Responsibilities

  • 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
  • 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
  • Work with cross-functional teams to rapidly execute and iterate

Other

  • Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
  • Strong verbal and written communication skills
  • Strong leadership and influence skills
  • Masters’ or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
  • Understand what matters most and prioritize ruthlessly