Quantitative UX Researcher — Lead Data-Driven Insights

Meta

Bellevue, Northern (WA, KY)

Hybrid

USD 164,000 - 227,000

Full time

14 days+

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Job summary

Meta seeks a Quantitative UX Researcher in Bellevue, WA to drive user insights shaping products used by billions. You will lead end-to-end studies, apply rigorous quantitative analyses, and communicate findings to diverse stakeholders.

You will work with design, product, content strategy, engineering, and marketing to identify topics, design studies, and translate results into actionable recommendations. A strong background in statistics and hands-on research is essential.

Qualifications

  • Bachelor’s degree with 13+ years UX research or related field, or Master’s with 11+ years, or PhD with 8+ years.
  • Experience coding with R or Python.
  • Experience with survey design and response effects.
  • Experience applying statistical analysis methods (Regressions, ANOVA, T-Tests).
  • Ability to translate research findings into strategic narratives.

Responsibilities

  • Work with product and business teams to identify research topics.
  • Lead cross-functional collaboration to advocate for user needs.
  • Design and execute end-to-end primary research using diverse methods.
  • Study user behavior and attitudes to inform design decisions.
  • Communicate results via presentations, reports, and visualizations.

Education

Bachelor's degree with 13+ years in UX research / applied/product research
Master’s degree with 11+ years relevant experience
PhD with 8+ years relevant experience

Tools

R
Python
Survey design tools

Job description

Meta seeks a Quantitative UX Researcher in Bellevue, WA to drive user insights shaping products used by billions. You will lead end-to-end studies, apply rigorous quantitative analyses, and communicate findings to diverse stakeholders.

You will work with design, product, content strategy, engineering, and marketing to identify topics, design studies, and translate results into actionable recommendations. A strong background in statistics and hands-on research is essential.

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