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Senior Data Scientist

GoFundMe

$156,000 - $195,000
Apr 15, 2025
San Francisco, CA, US
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The company is looking to build the future of giving through data-driven decision-making.

Requirements

  • Expertise in formulating and executing multivariate and A/B tests
  • Advanced SQL for querying and transforming data
  • Proficiency in Python for modeling, forecasting, and statistical analysis
  • Familiarity with a range of statistical and machine learning methods
  • Experience developing churn, retention, or customer LTV models to inform customer lifecycle or engagement strategy
  • Familiarity with advanced experimentation techniques (e.g., Multi-Armed Bandits, uplift modeling) for personalization or dynamic optimization
  • Proficiency in Foundational Models (e.g., segmentation, retention, LTV)

Responsibilities

  • Lead high-impact projects from ideation to delivery, working cross-functionally to ensure measurable results
  • Own the design, execution, and analysis of A/B tests to guide product innovation and optimize user experience
  • Build and deploy Foundational Models (e.g., segmentation, retention, LTV) that inform strategic decisions across our giving marketplace
  • Partner cross-functionally to uncover new analytical opportunities that drive business performance
  • Drive product strategy by delivering forward-looking insights and recommending data-informed roadmaps
  • Serve as a trusted advisor to the Product, Engineering, Design, and Data teams to empower data-driven decision making
  • Formulate and execute multivariate and A/B tests

Other

  • 5+ years of experience in product data science, analytics, or an equivalent field
  • Strong presentation and storytelling skills to translate data into strategic insights
  • Proven ability to prioritize and manage business requests through structured scoping and stakeholder alignment
  • A Master’s degree or PhD in a quantitative field (Mathematics, Statistics, Economics, Engineering, or related) is a plus
  • Must be located in the San Francisco Bay Area with an in-office requirement of 3x a week