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Senior Manager, Data Science

Gofundme

San Francisco, CA · full time · Management

$243,000 – $364,000

Listed on Gofundme’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

GoFundMe seeks a senior leader to build and direct their data science and analytics function, setting strategy and raising analytical rigor across the organization while managing experienced teams. This role suits someone with 8+ years in quantitative fields who has grown people and delivered cross-functional impact at scale.

Our summary, not Gofundme’s wording. The full posting is on their site.

Skills this role names

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What they ask for

Required

  • 8+ years in data science, analytics, or related quantitative field with significant team leadership or cross-functional experience
  • Experience setting direction and delivering impact across multiple business domains
  • Track record developing data science and analytics talent including senior contributors and emerging leaders
  • Master's or Ph.D. in statistics, mathematics, economics, computer science, physics, or operations research, or equivalent applied experience
  • Proficiency in Python and SQL with ability to guide technical work
  • Deep experience with experimentation, causal inference, and measurement translating to business decisions
  • Experience with forecasting, optimization, and predictive modeling supporting organizational decisions
  • Ability to assess data models, metrics, workflows, and platforms and partner with Engineering and Data Platform
  • Experience leading through senior individual contributors and technical leads
  • Strong communication and executive influence explaining findings clearly
  • Ability to set vision and priorities balancing capability building with near-term results

Nice to have

  • Data science experience in consumer products, marketplaces, nonprofits, payments, or fundraising
  • Marketing and growth measurement experience including MMM, attribution, segmentation, or campaign optimization
  • Familiarity with product experimentation and web/mobile analytics tools like Optimizely, GrowthBook, Google Analytics, or Amplitude
  • Experience applying generative AI or LLMs to products or workflows
  • Familiarity with machine learning operations, model monitoring, or scalable data transformation
  • BI and analytics tools experience like Looker, Hex, or equivalent
  • Marketing science expertise in media mix modeling, multi-touch attribution, uplift modeling, or marketing experimentation

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