Mozilla

Remote Canada

Staff Quantitative User Researcher

FULL TIME REMOTE SENIOR
Posted 22 days ago

Role Overview

As a Staff Quantitative User Researcher at Mozilla, you will lead strategic and tactical studies to scientifically understand user experiences at scale. You will work cross-functionally with product, design, and engineering teams to translate complex data into actionable insights that shape the Firefox roadmap.

Key Responsibilities

  • Lead end-to-end quantitative research initiatives from scoping to actionable recommendations.
  • Partner with cross-functional leaders to develop research roadmaps aligned with business priorities.
  • Embed quantitative insights into product strategy to advocate for user-centered decision-making.
  • Analyze diverse data sources including surveys and behavioral data to build cohesive user narratives.
  • Mentor peers and refine research methods to elevate the quantitative practice across the organization.
  • Communicate evidence-based insights to influence product and business decisions at a strategic level.

Requirements Snapshot

  • At least 7 years of experience in user, product, or market research with a quantitative focus.
  • Deep expertise in empirical survey methods including sampling, weighting, and statistical analysis.
  • High proficiency in statistical programming languages such as R for data analysis.
  • Significant experience using SQL to integrate behavioral data with survey responses.
  • Proven ability to operate in fast-paced agile environments while maintaining research depth.

Expected Impact

You will drive the product and design strategy for Firefox by providing a scientific understanding of user needs and behaviors. By scaling quantitative methods and mentoring the team, you will increase the visibility and influence of user insights across the entire organization. Your work will ensure that Mozillas mission-driven products are built on a foundation of rigorous, human-centered evidence.

This summary was generated from the original job posting (AI-assisted, human-reviewed). For full details, visit the company's site.

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