Sr Staff Quantitative User Researcher

📍 Job Overview

Job Title: Sr Staff Quantitative User Researcher

Company: Mozilla

Location: Remote Canada

Job Type: Full-Time

Category: User Research / Data Science

Date Posted: 2026-04-28T23:56:14

Experience Level: Senior Staff (8+ years)

Remote Status: Fully Remote

🚀 Role Summary

• Lead strategic and tactical quantitative user research initiatives to inform product strategy and drive user-centered decision-making within the Firefox ecosystem.

• Apply advanced quantitative research methodologies, including survey design, statistical analysis, and behavioral data integration, to understand user needs at scale.

• Partner cross-functionally with product managers, designers, engineers, data scientists, and marketers to develop research roadmaps and embed insights into the end-to-end product development lifecycle.

• Champion the quantitative research practice by mentoring peers, refining methodologies, and scaling approaches to increase the visibility and impact of user insights across Firefox.

• Translate complex data sources, including surveys and behavioral data, into clear, compelling, and actionable recommendations that influence product roadmaps and business priorities.

📝 Enhancement Note: This role is situated within the Firefox User Research team, indicating a focus on understanding and improving the user experience of the Firefox browser and related Mozilla products. The "Sr Staff" title suggests a senior individual contributor role with significant strategic influence and mentorship responsibilities. The emphasis on "quantitative" research, coupled with the required proficiency in R and SQL, points to a data-intensive role focused on scalable insights.

📈 Primary Responsibilities

• Own strategic quantitative research initiatives, from scoping business needs and designing robust surveys to synthesizing complex data and communicating actionable recommendations to senior stakeholders.

• Design and execute a variety of quantitative research studies across multiple phases of the product development lifecycle, including opportunity sizing, concept testing, prioritization, and post-launch measurement.

• Collaborate closely with product, design, engineering, data science, and marketing teams to co-create and own a research roadmap, identifying high-impact research opportunities aligned with business objectives.

• Analyze and interpret diverse data sources, such as survey responses, behavioral analytics, and market intelligence, to construct cohesive, evidence-based perspectives that guide product strategy and decision-making.

• Act as a user advocate by embedding research findings into product strategy, championing user needs, and influencing leaders across different functional areas to ensure a user-centered approach.

• Mentor junior researchers and peers on quantitative methodologies, best practices, and tool utilization, contributing to the overall growth and effectiveness of the user research function.

• Refine and scale quantitative research methods, tools, and processes to enhance the visibility, accessibility, and impact of user insights within the Firefox product development teams.

• Facilitate mixed-methods research designs by collaborating with qualitative researchers, integrating quantitative findings with qualitative insights for a holistic understanding of user behavior.

• Drive decision-making by delivering insights that are both timely and impactful, balancing research rigor with the speed required in fast-paced, agile environments.

• Develop compelling narratives using quantitative data and advanced visualizations to effectively communicate research findings and their implications to a broad audience, including executive leadership.

📝 Enhancement Note: The responsibilities highlight a strategic, end-to-end ownership of quantitative research projects. The emphasis on "influencing leaders," "shaping roadmaps," and "championing user-centered decision-making" underscores the senior and impactful nature of this role. The requirement to "mentor peers" and "elevate the quantitative practice" points to a leadership component within an individual contributor track.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong academic background in a quantitative field such as Statistics, Psychology, Human-Computer Interaction (HCI), Computer Science, Economics, Sociology, or a related discipline is highly recommended, reflecting the analytical nature of the role.

Experience: 8+ years of progressive experience in user research, product research, applied research, or a closely related field, with a demonstrable specialization in quantitative research methodologies.

Required Skills:

• Extensive experience leading and executing quantitative user research studies throughout the entire product development lifecycle, from discovery to post-launch analysis.

• Deep expertise in empirical survey design and methodology, including planning, sampling strategies, weighting techniques, and advanced statistical analysis.

• Proficient application of survey methods for various research objectives: opportunity sizing, product needs assessment, prioritization, concept testing, panel surveys, intercept surveys, write-in analysis, and post-release measurement.

• High proficiency in R for statistical programming, data analysis, and manipulation of survey data.

• Hands-on experience with SQL for querying and manipulating large behavioral datasets.

• Proven ability to integrate behavioral data with survey findings to create comprehensive, user-centric narratives.

• Demonstrated skill in crafting compelling data-driven narratives and using advanced data visualizations to communicate complex insights effectively.

• Experience operating successfully in fast-paced, agile product development environments, adapting to change while maintaining research impact.

• Strong judgment and strategic thinking to balance research depth with speed, ensuring insights are both actionable and impactful.

• Hands-on experience with mixed-methods research, including the ability to collaborate effectively with qualitative researchers.

• Excellent communication and interpersonal skills, with a proven ability to build strong partnerships with cross-functional teams and drive alignment through evidence-based insights.

Preferred Skills:

• Familiarity with additional statistical analysis software or platforms.

• Experience with A/B testing design and analysis.

• Knowledge of web analytics tools and their integration into research insights.

• Prior experience mentoring or coaching junior researchers.

• Experience working within open-source communities or on large-scale consumer-facing products.

📝 Enhancement Note: The emphasis on R and SQL is critical, indicating a need for hands-on data manipulation and statistical analysis skills beyond basic survey platforms. The requirement for "integrating behavioral data" suggests a need to work with product analytics or telemetry data. The "Sr Staff" level implies leadership in methodology and strategic thinking.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 3-5 significant quantitative research projects that demonstrate end-to-end ownership, from initial problem definition to delivering actionable insights.

• Projects should clearly articulate the business/product problem, the research questions, the methodology employed (including survey design, sampling, and analysis techniques), and the key findings.

• Include examples of how your research directly influenced product decisions, roadmaps, or strategy, ideally with quantifiable impact metrics if available.

• Demonstrate proficiency in data analysis and visualization, with clear examples of how complex data was translated into understandable insights.

Process Documentation:

• Provide examples of how you have documented research plans, methodologies, and findings for cross-functional consumption.

• Showcase instances where you have contributed to or led the refinement of research processes to improve efficiency, scalability, or impact.

• Illustrate your approach to integrating quantitative research findings into agile development workflows and product decision-making processes.

📝 Enhancement Note: For a quantitative role at this level, the portfolio should heavily emphasize data analysis, statistical rigor, and the impact of research on product strategy. Demonstrating the ability to translate complex quantitative findings into clear, actionable insights is paramount. Specific examples of R and SQL usage in project contexts would be highly beneficial.

💵 Compensation & Benefits

Salary Range:

Based on the provided hiring ranges for Canada Tier 1 and Tier 2 locations, the estimated salary range for this role is between $128,000 and $189,000 CAD per year.

• Canada Tier 1 Locations: $142,000 - $189,000 CAD

• Canada Tier 2 Locations: $128,000 - $171,000 CAD

  This range reflects the Senior Staff level, the specialized quantitative skills required (R, SQL, advanced statistics), and the fully remote nature of the position within Canada. The specific placement within this range will depend on candidate experience, location tier, and alignment with role requirements.

Benefits:

• Generous performance-based bonus plans, sharing company success.

• Comprehensive medical, dental, and vision coverage.

• Generous retirement contributions with 100% immediate vesting.

• Quarterly all-company wellness days for collective pauses.

• Country-specific holidays plus a birthday day off.

• One-time home office stipend to set up a productive remote workspace.

• Annual professional development budget for continuous learning and skill enhancement.

• Quarterly well-being stipend to support personal wellness.

• Considerable paid parental leave.

• Employee referral bonus program.

• Additional benefits including life/AD&D insurance, disability insurance, and Employee Assistance Program (EAP), varying by country.

Working Hours: The standard working hours for this role are 40 hours per week, typical for a full-time position. Given the remote nature and global team collaboration potential, some flexibility may be expected, but core hours will likely align with Canadian business operations.

📝 Enhancement Note: The salary ranges provided by the employer are specific to Canada and segmented by location tiers. The benefits package is comprehensive, with a strong emphasis on wellness, professional development, and financial well-being, which are attractive to senior-level professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Software Development, Internet Services, Open Source. Mozilla is known for its commitment to an open and free internet, operating as a non-profit-backed technology company focused on user privacy and empowerment.

Company Size: Mozilla Corporation is part of a larger organization that has grown significantly over its 25+ years. While specific current figures for the corporation aren't provided, it's implied to be a substantial organization with hundreds or thousands of employees globally, given its product reach. The "Group: C" designation might relate to internal organizational structuring.

Founded: Mozilla Corporation's origins trace back to the Netscape Navigator browser, with the Mozilla Foundation established in 2003 and Mozilla Corporation in 2005. This long history signifies a stable, mission-driven organization with deep roots in internet technology.

Team Structure:

• The Firefox User Research team is dedicated to human-centered exploration, working closely with product, design, engineering, and data science.

• This "Sr Staff" role suggests a senior individual contributor position, likely reporting to a Research Manager or Director, and operating with significant autonomy.

Methodology:

• The team champions a data-driven approach, utilizing both quantitative and qualitative research to understand user experiences, needs, motivations, and behaviors.

• Emphasis is placed on translating evidence, data, and insights into clear, actionable recommendations that shape product and design strategy.

• The use of quantitative methods to understand users "at scale" and integrate "behavioral data" points to a strong analytical and systems-thinking approach.

Company Website: https://www.mozilla.org/

📝 Enhancement Note: Mozilla's mission-driven, open-source ethos is a significant cultural differentiator. This role is embedded within a research team focused on applying rigorous quantitative methods to improve a widely used consumer product, Firefox. The company's non-profit backing influences its priorities, emphasizing user well-being and internet health over shareholder profit.

📈 Career & Growth Analysis

Operations Career Level: This role is classified as "Sr Staff," indicating a senior individual contributor (IC) track. It signifies a deep level of expertise, strategic impact, and the ability to operate autonomously on complex, high-priority initiatives. It's a step beyond a Senior Researcher, often involving mentorship and methodological leadership.

Reporting Structure: The Senior Staff Quantitative User Researcher will likely report to a Research Manager or Director within the Firefox User Research team. They will work in close partnership with Product Managers, Designers, Engineers, and Data Scientists, acting as a peer and expert advisor within these cross-functional teams.

Operations Impact: The core impact of this role is to ensure that product development decisions for Firefox are grounded in rigorous, scalable user insights. By quantifying user needs, behaviors, and the impact of product changes, this researcher will directly influence the product roadmap, feature prioritization, and overall user experience strategy, ultimately contributing to Firefox's mission and market position.

Growth Opportunities:

• Methodological Leadership: Opportunity to define and advance quantitative research practices within Firefox and potentially across Mozilla, influencing how user data is collected and utilized.

• Strategic Influence: Deep engagement with product strategy and roadmapping, providing opportunities to shape the direction of major product initiatives.

• Mentorship & Development: Formal and informal opportunities to mentor junior researchers, share expertise, and contribute to the growth of the research function.

• Cross-Functional Expertise: Deepen understanding and collaboration across diverse functions like product management, engineering, design, and data science, broadening professional network and skill set.

• Advanced Skill Development: Potential to further specialize in areas like causal inference, advanced statistical modeling, or large-scale experimentation, leveraging the rich data environment at Mozilla.

📝 Enhancement Note: The "Sr Staff" designation is crucial for understanding career trajectory. It indicates a focus on deep expertise, strategic impact, and leadership within an IC path, rather than immediate management responsibilities. The growth opportunities are geared towards enhancing methodological expertise and strategic influence.

🌐 Work Environment

Office Type: This is a fully remote position, allowing individuals to work from their home office. Mozilla has a history of supporting remote work and fostering a connected virtual environment.

Office Location(s): The role is advertised as "Remote Canada," meaning candidates can be based anywhere within Canada. Canada is divided into "Tier 1" and "Tier 2" locations for compensation purposes, suggesting specific geographic hubs or regions with different cost-of-living adjustments.

Workspace Context:

• As a remote role, the primary workspace will be the employee's home office. Mozilla provides a one-time stipend to help set this up.

• Collaboration will primarily occur through virtual tools (e.g., Slack, Zoom, Google Workspace, project management software).

• The role requires self-discipline and effective time management to maintain productivity and collaboration in a remote setting.

• Opportunities for virtual team building and informal interaction will be important for maintaining team cohesion.

Work Schedule: The standard work schedule is 40 hours per week. While remote roles often offer flexibility, core working hours will likely need to align with team collaboration needs, potentially bridging different Canadian time zones. The company also observes quarterly "wellness days" where all employees take a pause, promoting work-life balance.

📝 Enhancement Note: The fully remote nature within Canada requires candidates to be self-motivated and adept at virtual collaboration. The distinction between Tier 1 and Tier 2 locations for salary implies that candidates in major urban centers might fall into Tier 1, while those in other regions might be Tier 2.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and application, likely focusing on quantitative research experience, R/SQL proficiency, and relevant project examples.

• Hiring Manager/Recruiter Call: An introductory call to discuss your background, interest in the role, and alignment with Mozilla's mission and values.

• Technical Interview(s): This will likely involve deep dives into your quantitative research methodologies, statistical knowledge, and practical application of R and SQL. Expect to discuss specific projects and problem-solving approaches.

• Portfolio Review: You will be asked to present one or more key quantitative research projects from your portfolio. This is where you'll demonstrate your ability to scope research, design studies, analyze data, and communicate findings effectively.

• Cross-Functional Interviews: Interviews with potential peers and stakeholders (e.g., Product Managers, Designers, Data Scientists) to assess collaboration skills, strategic thinking, and ability to influence.

• Final Interview: A discussion with senior leadership or the hiring manager to assess overall fit, strategic vision, and leadership potential.

Portfolio Review Tips:

• Quantify Everything: For each project, clearly state the objective, your role, the methodology, key findings, and most importantly, the impact on product decisions or business outcomes.

• Showcase R & SQL: Prepare to walk through code snippets or explain how you used R for statistical analysis and SQL for data extraction/manipulation in your projects.

• Tell a Story: Structure your portfolio presentations like a narrative: problem, approach, findings, recommendations, and impact.

• Focus on Strategy: Emphasize how your research informed strategic decisions and product roadmaps, not just tactical execution.

• Be Prepared for Questions: Anticipate questions about your research philosophy, how you handle ambiguity, how you balance speed and rigor, and how you mentor others.

Challenge Preparation:

• Methodology Deep Dive: Be ready to discuss trade-offs in different quantitative methods (e.g., survey design choices, sampling strategies).

• Data Interpretation: Practice explaining how you would interpret specific data patterns or statistical outputs.

• Problem-Solving Scenarios: Prepare for hypothetical scenarios where you need to define research questions, design studies, or interpret ambiguous data related to product features.

• Communication Skills: Practice articulating complex quantitative concepts clearly and concisely to non-technical audiences.

📝 Enhancement Note: The interview process is structured to rigorously assess both technical quantitative skills (R, SQL, statistics) and strategic research capabilities. The portfolio review is a critical component, requiring candidates to demonstrate not just expertise but also impact and influence.

🛠 Tools & Technology Stack

Primary Tools:

• Statistical Programming: R (highly proficient, essential), potentially Python for data analysis.

• Data Manipulation: SQL (extensive hands-on experience required).

• Survey Platforms: Experience with various survey tools for design, deployment, and data collection (e.g., Qualtrics, SurveyMonkey, custom internal tools).

• Data Visualization: Tools for creating compelling charts and dashboards (e.g., Tableau, Power BI, R's ggplot2, D3.js).

Analytics & Reporting:

• Behavioral Data Analysis: Tools and platforms for analyzing user behavior data (e.g., product analytics tools, custom data warehouses).

• Reporting Tools: Ability to generate clear, concise reports summarizing findings for diverse audiences.

CRM & Automation:

• While not a direct CRM role, understanding how user research data can integrate with CRM or marketing automation platforms to inform customer segmentation or personalization strategies is beneficial.

• Familiarity with agile project management tools (e.g., Jira, Asana) for workflow management.

📝 Enhancement Note: The specified tools are central to the role. Proficiency in R and SQL is non-negotiable. Experience with a range of survey platforms and data visualization tools is expected. The ability to work with large behavioral datasets is also a key technical requirement.

👥 Team Culture & Values

Operations Values:

• Welcoming Differences: Embracing diverse perspectives and backgrounds within the team and in research participants.

• Relationship-Minded: Building strong, collaborative relationships with cross-functional partners and within the research team.

• Practicing Responsible Participation: Upholding ethical research standards, ensuring data privacy, and acting with integrity in all research activities.

• Having Grit: Demonstrating perseverance, resilience, and a proactive approach to tackling complex challenges and driving impact.

• User-Centered: A fundamental commitment to understanding and advocating for the user in all product development processes.

• Data-Driven: Relying on evidence, data, and rigorous analysis to inform decisions and guide strategy.

Collaboration Style:

• Highly collaborative and cross-functional, working as a peer and strategic partner with product, design, engineering, and marketing.

• Emphasis on clear, evidence-based communication to drive alignment and influence decision-making.

• Openness to feedback and iterative refinement of research approaches and findings.

• Mentorship and knowledge sharing are encouraged to elevate the entire team's capabilities.

📝 Enhancement Note: Mozilla's core values are deeply integrated into its culture and operations. For this role, it means conducting research ethically, advocating for diverse users, and fostering strong, collaborative relationships to drive impact. The "grit" value aligns with the challenges of working in a fast-paced, mission-driven environment.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Speed and Rigor: Delivering timely, actionable insights in a fast-paced agile environment while maintaining high standards of quantitative research methodology.

• Data Integration Complexity: Effectively integrating disparate data sources (surveys, behavioral data, market intelligence) to form a cohesive, actionable understanding of users.

• Influencing Strategic Decisions: Translating complex quantitative findings into compelling narratives that effectively influence senior leadership and product roadmaps.

• Scaling Research Impact: Developing and promoting methodologies that allow the research team's impact to scale with the growth and complexity of Firefox.

• Navigating Ambiguity: Defining clear research questions and methodologies when faced with broad or ill-defined business problems.

Learning & Development Opportunities:

• Advanced Methodological Training: Opportunities to deepen expertise in statistical modeling, causal inference, experimental design, and advanced survey techniques.

• Industry Conferences & Certifications: Support for attending relevant conferences (e.g., UXPA, AAG, industry-specific data science/research events) and pursuing certifications.

• Cross-Functional Skill Development: Gaining deeper insights into product management, engineering processes, and marketing strategies through close collaboration.

• Mentorship Programs: Opportunities to be mentored by senior leaders or to mentor emerging talent within the research organization.

• Exposure to Diverse Product Areas: Working on various aspects of the Firefox product suite, offering broad exposure to different user segments and product challenges.

📝 Enhancement Note: The challenges are inherent to senior-level research roles in dynamic tech environments. The growth opportunities are focused on deepening technical expertise, enhancing strategic influence, and developing leadership skills within the research discipline.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used quantitative research to significantly influence a product strategy or roadmap. What was the situation, your approach, the key findings, and the ultimate impact?" (Focus on R/SQL usage, data synthesis, and strategic influence).

• "How would you approach sizing the opportunity for a new feature idea within Firefox? What quantitative methods would you employ, and what data would you need?" (Demonstrate methodological breadth and data-driven thinking).

• "Imagine you have conflicting quantitative and qualitative findings. How would you reconcile them and present a cohesive recommendation to product leadership?" (Assess mixed-methods thinking and communication skills).

Company & Culture Questions:

• "Why Mozilla? What interests you about our mission and the work we do in the open-source space?" (Connect your values and career goals to Mozilla's mission).

• "How do you approach mentoring junior researchers or sharing your expertise with cross-functional teams?" (Highlight your leadership and collaboration style).

Portfolio Presentation Strategy:

• Structure is Key: Clearly define the problem, your role, methodology, key findings, and impact for each presented project.

• Highlight R & SQL: Be ready to discuss specific code or analytical approaches used in your projects. Demonstrate how data manipulation and statistical analysis led to insights.

• Quantify Impact: Whenever possible, use metrics to show the tangible results of your research (e.g., "This insight led to a 15% increase in feature adoption," or "Identified a critical user pain point affecting X million users").

• Visual Storytelling: Use clear, well-designed charts and graphs to illustrate your findings, but be prepared to explain them verbally and answer detailed questions.

• Focus on Strategic Contribution: Frame your work not just as data analysis, but as strategic input that shaped product direction.

📝 Enhancement Note: Preparation should emphasize demonstrating quantitative rigor, strategic thinking, and effective communication of complex data. Candidates should be ready to deep-dive into their R and SQL usage and showcase how their research directly impacted product decisions.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on the Mozilla careers page.

• Portfolio Customization: Review your professional portfolio to select 2-3 of your most impactful quantitative research projects that best showcase your expertise in survey design, R/SQL proficiency, data analysis, and strategic influence on product development. Ensure these projects clearly articulate the problem, your approach, key findings, and quantifiable impact.

• Resume Optimization: Tailor your resume to highlight your 8+ years of quantitative user research experience, explicitly mentioning proficiency in R, SQL, survey methodologies, and experience with behavioral data analysis. Use keywords from the job description such as "quantitative research," "survey design," "statistical analysis," "product strategy," and "mixed methods."

• Interview Preparation: Rehearse your responses to common quantitative research and behavioral interview questions. Prepare a concise and compelling narrative for your portfolio presentation, focusing on demonstrating your strategic impact and methodological expertise. Practice explaining complex data insights clearly.

• Company Research: Familiarize yourself with Mozilla's mission, its products (especially Firefox), its commitment to open source, and its core values. Understand how user research contributes to these objectives, and be prepared to articulate why you are a good cultural and mission fit.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.