Staff Quantitative User Researcher

Mozilla Corporation

Remote, United States
Not specified; performance-based bonus plans avail...
Remote
7+ years user or market research experience
Expertise in empirical survey methods
High proficiency in r for statistical programming
Mozilla Corporation is seeking a Staff Quantitative User Researcher to lead quantitative research initiatives that inform product design and strategy. The ideal candidate will have extensive experience in quantitative user research, strong statistical analysis skills, and a collaborative approach to cross-functional teamwork

Job Summary

  • Mozilla is a non-profit-backed technology company dedicated to shaping the next 25 years of the internet through open-source software.
  • The Staff Quantitative User Researcher will lead end-to-end quantitative studies to scientifically understand user experiences at scale.
  • Employees receive generous benefits including medical coverage, retirement contributions with immediate vesting, and professional development budgets.

Matching Summary

Match Score: 85

Mozilla Corporation is seeking a Staff Quantitative User Researcher to lead quantitative research initiatives that inform product design and strategy. The ideal candidate will have extensive experience in quantitative user research, strong statistical analysis skills, and a collaborative approach to cross-functional teamwork.

Salary

Not specified; Performance-based bonus plans available; Generous retirement contributions with 100% immediate vesting

Skills & Requirements

Must-have

  • 7+ years user or market research experience
  • Expertise in empirical survey methods
  • High proficiency in R for statistical programming
  • Experience using SQL to integrate data
  • Strong ability to craft data narratives

Nice-to-have

  • Hands-on qualitative research experience
  • Experience collaborating with mixed methods teams
  • Commitment to welcoming differences
  • Grit and relationship-minded approach

Key Requirements

  • 7+ years experience in user, product, or market research
  • Deep expertise in planning, sampling, weighting, and statistical analysis
  • Proficiency in R and SQL for data integration

Work Rights

Not specified

Tailored Resume

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