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Sr. Staff Quantitative Product Researcher

Pinterest
Hybrid - US (San Francisco, 1-2 days/6 months)Updated 1d ago
Base salary
$164k–$337k
Published base salary range
Location
Hybrid - US (San Francisco, 1-2 days/6 months)
Remote eligibility
Employment
Full-time
Staff / Principal
Role family
Product
Media / Creator
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About the job

Pinterest is looking for a Sr. Staff Quantitative Product Researcher to lead the development and evolution of user-centered measurement across our consumer experience. This role partners with Data Science and Engineering to guide measurement work end-to-end, from defining constructs to validating metrics and building behavioral proxies or predictive models.

What you'll do

  • Lead user-centered metrics development end-to-end: define constructs, design and validate surveys, establish reliability and sensitivity, guide experimentation, and partner with DS/Eng to build behavioral proxies or predictive models.
  • Extend measurement into model stewardship: inform retraining decisions, evaluate generalizability across segments, and stress-test model boundaries.
  • Conduct deep-dive learning analyses to uncover drivers and levers behind key metrics and translate into actionable direction.
  • Set and execute the learning agenda across a broad problem space, prioritizing questions and choosing appropriate methods.
  • Act as an equal partner to Data Science and Engineering, shaping measurement direction.
  • Synthesize behavioral analyses, experiment results, qualitative insights, and own work to inform product and business decisions.
  • Present to senior leadership and mentor junior quantitative researchers.

What we're looking for

  • 7+ years of quantitative user research experience with large-scale consumer data, including leading metric development end-to-end.
  • Deep expertise in survey methodology, statistical modeling, experimentation at scale, and behavioral analysis.
  • Experience informing ML model evaluation and maintenance.
  • Fluency in R or Python and SQL, and strong data visualization skills.
  • Ability to operate as a peer to Data Science and Engineering.
  • Proactive, with experience working horizontally across teams and presenting to senior leadership.
  • Experience leveraging AI tools in research with discernment.
  • PhD preferred in computational social science, statistics, computer science, or related field.

Base salary range: $163,639—$336,903 USD. The position is also eligible for equity.

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