UX Researcher, Quantitative

📍 Job Overview

Job Title: UX Researcher, Quantitative Company: Meta Location: Bellevue, WA; Menlo Park, CA; Seattle, WA; New York, NY; Remote, US Job Type: Full-Time Category: User Experience Research / Product Analytics Date Posted: January 20, 2026 Experience Level: Senior / Lead (10+ years) Remote Status: Hybrid/Remote Eligible

🚀 Role Summary

• Drive impactful product decisions by conducting rigorous quantitative user research, leveraging advanced statistical analysis and data-driven methodologies.
• Design and execute comprehensive, end-to-end primary research studies using a diverse toolkit of quantitative methods to understand user behavior and attitudes.
• Act as a strategic thought leader within the UX Research domain, championing user needs and influencing product roadmaps across cross-functional teams.
• Translate complex research findings into clear, compelling strategic narratives and actionable insights that shape the future of Meta's products.

📝 Enhancement Note: This role is positioned as a senior or lead position due to the minimum 10+ years of experience requirement, indicating a need for seasoned researchers capable of independent work, strategic influence, and mentoring. The emphasis on quantitative methods, statistical analysis, and influencing product direction suggests a strong analytical and strategic component beyond standard usability testing.

📈 Primary Responsibilities

• Collaborate closely with Product Managers, Designers, Engineers, and Marketing teams to define critical research questions and identify key areas for investigation.
• Develop and implement robust research plans that address both user behaviors and attitudes, ensuring alignment with product strategy and business objectives.
• Design and execute custom primary research studies, including large-scale surveys, experimental designs, and correlational studies, to uncover deep user insights.
• Apply advanced statistical analysis techniques (e.g., regressions, ANOVA, T-tests) to quantitative data, ensuring methodological rigor and validity of findings.
• Analyze survey data, considering potential response effects and biases, to ensure the accuracy and reliability of gathered information.
• Effectively manage research projects in dynamic and ambiguous environments, prioritizing tasks and delivering critical insights within compressed timelines.
• Communicate research findings and recommendations through compelling presentations, reports, and other creative formats to diverse stakeholder groups.
• Champion the voice of the user throughout the product development lifecycle, advocating for user needs and ensuring products are human-centered.
• Generate insights that not only evaluate existing designs but also fuel new product ideation and strategic direction.

📝 Enhancement Note: The responsibilities emphasize a blend of strategic influence, independent execution, and cross-functional collaboration, typical of senior operations-focused research roles. The need to "act as a thought leader" and "advocate for people" points to a role that requires not just data analysis but also strong communication and strategic thinking skills.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in a relevant field with 10+ years of applicable experience in user experience, applied research, or product research and development; OR a Master's degree with 8+ years of relevant experience; OR a PhD with 5+ years of relevant experience.

Experience:

• Demonstrated experience in designing and executing end-to-end quantitative research studies.
• Proven track record of translating research findings into strategic narratives and actionable product recommendations.
• Experience working in fast-paced, ambiguous environments with the ability to manage and prioritize research plans autonomously.

Required Skills:

• Proficiency in quantitative research methodologies, including survey design, experimental design, and statistical analysis.
• Expertise in statistical programming languages and tools such as R, SQL, STATA, SPSS, or equivalent.
• Strong understanding of statistical analysis methods including Regressions, ANOVA, and T-Tests.
• Experience with survey design principles and awareness of response effects.
• Excellent communication skills, with the ability to articulate complex findings and strategic recommendations clearly and compellingly to diverse audiences.
• Demonstrated ability to work cross-functionally with design, product management, content strategy, engineering, and marketing teams.
• A genuine interest in and hands-on experience executing primary research to understand user behavior and attitudes.

Preferred Skills:

• Advanced degrees (Master's or PhD) in human behavior-related fields such as Human-Computer Interaction (HCI), Psychology, Sociology, Communication, Information Science, Media Studies, Computer Science, or Economics.
• Experience within consumer products, consumer insights, or product development environments.

📝 Enhancement Note: The extensive experience requirement (10+ years) combined with the need for advanced statistical skills and the ability to influence strategy suggests this role is for a seasoned professional who can operate with significant autonomy and strategic impact, aligning with senior operations or analytics roles. The mention of specific statistical software (R, SQL, STATA, SPSS) is critical for ATS keyword matching.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate a portfolio showcasing a minimum of 5-7 significant quantitative research projects, with a clear emphasis on impact and methodological rigor.
• Each project should clearly articulate the research problem, the quantitative methods employed (e.g., survey design, experimental setup, statistical models used), and the key findings.
• Quantify the impact of your research on product decisions, user experience improvements, or business outcomes, ideally with metrics and ROI where possible.
• Include examples of how you have translated complex quantitative data into strategic recommendations that influenced product direction.
• Showcase experience with designing and executing surveys, including methodology for sampling, questionnaire design, and analysis of response effects.
• Provide evidence of statistical analysis capabilities, potentially through anonymized code snippets or detailed descriptions of analyses performed (e.g., regression models, ANOVA).

Process Documentation:

• Detail your process for designing end-to-end quantitative research studies, from problem definition to insight generation and communication.
• Illustrate your approach to managing research plans in ambiguous and fast-changing environments, including prioritization and stakeholder alignment.
• Document how you ensure the rigor and validity of quantitative research findings, including data cleaning, statistical assumptions, and potential limitations.
• Explain your methods for generating insights that not only evaluate designs but also fuel ideation and strategic thinking.

📝 Enhancement Note: For a role of this seniority and quantitative focus, a robust portfolio is essential. It should not just list projects but narrate the "why" and "impact" of the research, demonstrating strategic thinking and the ability to drive concrete outcomes through data. Emphasis on quantifiable results and complex statistical applications is key.

💵 Compensation & Benefits

Salary Range: $164,000/year to $227,000/year (USD)

Benefits:

• Bonus: Performance-based annual bonus.
• Equity: Stock options or restricted stock units (RSUs) as part of the compensation package.
• Comprehensive Health Coverage: Medical, dental, and vision insurance.
• Retirement Savings Plan: 401(k) with company match.
• Paid Time Off: Generous vacation, sick leave, and paid holidays.
• Parental Leave: Paid leave for new parents.
• Wellness Programs: Resources and support for employee well-being.
• Professional Development: Opportunities for continuous learning and skill enhancement.

Working Hours:

• Full-time position, typically based on a standard 40-hour work week. Flexibility may be offered, but core business hours and meeting availability are expected.

📝 Enhancement Note: The provided salary range is a strong indicator of a senior-level position within the tech industry, especially for a company like Meta. The inclusion of bonus and equity further solidifies this. The salary research methodology involved cross-referencing this range with industry benchmarks for Senior UX Researchers with 10+ years of experience in high cost-of-living tech hubs like Seattle, Menlo Park, and New York, confirming it aligns with market standards.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Social Media, Internet Services, Artificial Intelligence Company Size: Large Enterprise (10,000+ employees) Founded: 2004 Company Description: Meta Platforms, Inc. (Meta) is a technology company focused on building community and bringing the world closer together. Meta builds technologies that help people connect, find communities, and grow businesses. Meta's family of apps and services include Facebook, Instagram, WhatsApp, Messenger, and Meta Quest.

Team Structure:

• The UX Research team at Meta is likely structured to support various product groups and platforms. Researchers often specialize in areas like quantitative research, qualitative research, or specific product domains.
• Researchers typically report into a UX Research leadership structure, often within larger Product or Design organizations.
• Close collaboration with cross-functional teams (Product Management, Design, Engineering, Data Science, Marketing) is a hallmark of Meta's product development process.

Methodology:

• Meta emphasizes a data-driven approach to product development, integrating quantitative and qualitative research to gain a holistic understanding of user behavior.
• The company fosters a culture of experimentation and iteration, using research to inform hypotheses and evaluate product changes.
• A strong focus is placed on understanding global user needs and scaling products to billions of users worldwide.

Company Website: https://www.metacareers.com/

📝 Enhancement Note: Understanding Meta's scale and its mission to connect people globally is crucial. For a quantitative UX Researcher, this means dealing with massive datasets and diverse user populations, requiring robust analytical skills and an understanding of how to scale insights. The "move fast and break things" ethos, while evolving, still implies a need for agility and efficient research processes.

📈 Career & Growth Analysis

Operations Career Level: Senior UX Researcher / Principal UX Researcher This role represents a senior-level position within the UX Research discipline. The extensive experience requirement (10+ years) and emphasis on independent research design, execution, and strategic influence indicate a role capable of leading complex research initiatives, mentoring junior researchers, and significantly impacting product strategy. It's a position for someone who can act as a subject matter expert and drive research best practices.

Reporting Structure: The UX Researcher will likely report to a Manager or Director of UX Research, who oversees a team of researchers supporting specific product areas or platforms within Meta. This structure ensures alignment with broader research and product strategies.

Operations Impact: The impact of this role is profound, directly influencing the design and development of products used by billions. By providing deep quantitative insights into user behavior, attitudes, and needs, this researcher will:

• Identify opportunities for product innovation and improvement.
• Mitigate risks associated with product launches by validating hypotheses and designs.
• Optimize user flows and feature effectiveness through data-driven analysis.
• Contribute to Meta's strategic direction by understanding market trends and user preferences at scale.

Growth Opportunities:

• Leadership: Transition into management roles overseeing research teams, or pursue Principal/Distinguished Researcher tracks focusing on specialized technical expertise and strategic impact.
• Specialization: Deepen expertise in specific quantitative methodologies, statistical modeling, or niche product areas (e.g., AI, VR/AR, Commerce).
• Cross-Functional Mobility: Leverage research and analytical skills to move into Product Management, Data Science, or other strategic roles within Meta.
• Mentorship: Guide and develop junior researchers, contributing to the growth of the UX Research community at Meta.

📝 Enhancement Note: The career path at Meta for researchers is typically steep, with opportunities for both individual contribution at a high level (Principal/Distinguished) and leadership. For a quantitative role, growth often involves tackling increasingly complex statistical challenges and influencing strategic decisions at a broader organizational level.

🌐 Work Environment

Office Type: Large, modern corporate campus environment with extensive amenities. Meta offers hybrid work arrangements, allowing employees to work from designated office locations or remotely. Office Location(s): Bellevue, WA; Menlo Park, CA; Seattle, WA; New York, NY. Remote work is also an option within the US.

Workspace Context:

• Collaborative Spaces: Offices feature open-plan areas, private offices, meeting rooms, and informal gathering spaces designed to foster collaboration among cross-functional teams.
• Technology & Tools: Employees have access to cutting-edge hardware, software, and internal tools necessary for conducting complex research and analysis. This includes powerful workstations and access to Meta's extensive data infrastructure.
• Team Interaction: Frequent opportunities for interaction with design, product, engineering, and fellow research teams through planned meetings, informal discussions, and cross-functional projects.

Work Schedule:

• Standard full-time hours are expected, with flexibility available. However, availability during core business hours for team collaboration and meetings is essential. The hybrid/remote nature allows for adaptability in daily work location.

📝 Enhancement Note: Meta's work environment is known for its dynamic, fast-paced culture. For a quantitative researcher, this means being comfortable with rapid iteration, agile methodologies, and working within a highly collaborative, often remote-first or hybrid, setting. Access to internal tools and data is paramount.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screen: A recruiter or hiring manager will conduct a brief call to assess basic qualifications, interest, and cultural fit.
• Technical Screen: A quantitative UX research expert will likely conduct a deeper dive into your statistical knowledge, research methodologies, and experience with specific tools (R, SQL, etc.). This may involve discussing past projects or hypothetical scenarios.
• Portfolio Review & Presentation: You will be asked to present 1-2 key quantitative research projects from your portfolio. This is a critical stage to demonstrate your ability to design, execute, analyze, and communicate research impact. Prepare to discuss your methodology, findings, and how your work influenced product decisions.
• On-Site/Virtual Interviews: Multiple interviews with various stakeholders, including other UX Researchers, Product Managers, Designers, and potentially engineering leads. These interviews will assess your problem-solving skills, strategic thinking, collaboration style, and domain expertise. Expect behavioral questions and case studies related to product challenges.
• Hiring Committee Review: Final decision often involves a review by a hiring committee, evaluating the candidate's fit across all dimensions assessed during the interview process.

Portfolio Review Tips:

• Quantify Everything: For each project, clearly state the problem, your approach, the key findings, and most importantly, the impact or outcome. Use numbers and metrics wherever possible (e.g., "Increased conversion rate by X%", "Reduced task completion time by Y seconds").
• Methodological Depth: Be prepared to explain the nuances of your quantitative methods. Discuss why you chose specific statistical tests, how you handled sample bias, and the limitations of your study.
• Storytelling: Structure your portfolio presentations as compelling narratives. Start with the business/product problem, walk through your rigorous research process, present clear insights, and conclude with actionable recommendations and their impact.
• Tool Proficiency: Be ready to discuss your experience with R, SQL, STATA, SPSS, and other relevant statistical or data analysis tools. If possible, show examples of your coding or data visualization.
• Strategic Alignment: Demonstrate how your research directly supported product strategy, user needs, and business goals.

Challenge Preparation:

• Hypothetical Product Scenarios: Be ready to tackle hypothetical product design or optimization challenges. You might be asked to outline a research plan to address a specific user problem or evaluate a new feature. Focus on your quantitative approach, metrics, and analytical thinking.
• Data Interpretation: You may be presented with sample data or research results and asked to interpret them, identify key insights, and suggest next steps.
• Stakeholder Communication: Practice articulating technical research concepts and findings to non-technical audiences. Role-play how you would present recommendations to product teams.

📝 Enhancement Note: The interview process for a senior quantitative researcher at Meta will be rigorous, heavily emphasizing analytical skills, statistical acumen, and the ability to translate data into strategic product direction. A well-curated portfolio that showcases measurable impact is non-negotiable.

🛠 Tools & Technology Stack

Primary Tools:

• Statistical Software: R, STATA, SPSS (or similar) for advanced statistical analysis, modeling, and data manipulation.
• Database Querying: SQL for accessing and extracting data from large-scale databases.
• Survey Platforms: Tools like Qualtrics, SurveyMonkey, or internal Meta platforms for designing, distributing, and managing large-scale surveys.
• Data Visualization: Tableau, Power BI, or internal Meta tools for creating compelling dashboards and reports to communicate findings.

Analytics & Reporting:

• Internal Data Platforms: Access to Meta's proprietary data infrastructure and analytics tools for large-scale data exploration and analysis.
• A/B Testing Frameworks: Experience with or understanding of A/B testing principles and platforms to evaluate product changes.
• Reporting Dashboards: Creation and interpretation of dashboards to track key user metrics and research insights over time.

CRM & Automation:

• While not a direct CRM role, understanding how user data is managed and tracked within product analytics systems is crucial. Familiarity with data pipelines and how user behavior is logged is beneficial.

📝 Enhancement Note: Proficiency in R and SQL is explicitly required and highly critical for this role. Experience with large-scale data platforms and survey tools is also essential. The ability to not just analyze data but also visualize and communicate it effectively is key.

👥 Team Culture & Values

Operations Values:

• Impact-Driven: A strong focus on delivering research that leads to tangible product improvements and business outcomes.
• Data-Informed: Commitment to rigorous quantitative methods and data integrity as the foundation for insights and decisions.
• Collaboration: Emphasis on working effectively with diverse cross-functional teams to integrate research into the product development lifecycle.
• User Advocacy: Deep commitment to understanding and representing the needs and behaviors of users.
• Innovation & Experimentation: Willingness to explore new methods, test hypotheses, and embrace a culture of continuous learning and improvement.

Collaboration Style:

• Cross-Functional Integration: Researchers are embedded within product teams, working daily with PMs, Designers, and Engineers.
• Knowledge Sharing: Active participation in research guilds, brown bags, and internal forums to share learnings and best practices.
• Feedback Culture: Openness to constructive feedback on research plans, methodologies, and findings from peers and stakeholders.
• Agile & Iterative: Adapting research approaches to fit fast-paced product cycles, often involving iterative research and quick turnaround insights.

📝 Enhancement Note: Meta's culture values speed, impact, and collaboration. For a quantitative UX Researcher, this means being able to deliver timely, high-quality insights that directly inform product decisions, working seamlessly with diverse teams, and constantly seeking to improve both products and research processes.

⚡ Challenges & Growth Opportunities

Challenges:

• Scale and Complexity: Researching and analyzing data for a global user base with diverse needs and behaviors presents significant analytical challenges.
• Ambiguity: Navigating fast-paced product development cycles and evolving strategic priorities requires adaptability and the ability to define research scopes independently.
• Data Volume: Managing and interpreting massive datasets requires robust analytical skills and efficient processing techniques.
• Cross-Functional Alignment: Ensuring research insights are understood, accepted, and acted upon by diverse stakeholders requires strong communication and influencing skills.

Learning & Development Opportunities:

• Advanced Methodologies: Opportunities to learn and apply cutting-edge quantitative research techniques and statistical modeling.
• Industry Conferences & Training: Support for attending leading UX research and data science conferences and pursuing relevant certifications.
• Mentorship: Access to senior researchers and leaders for guidance on career development, skill enhancement, and strategic thinking.
• Impactful Projects: Working on products that have a global reach and significant societal impact, offering unique learning experiences.

📝 Enhancement Note: The challenges in this role are directly tied to Meta's scale and the complexity of understanding human behavior on a global level. Growth opportunities are abundant, focusing on deepening technical expertise and expanding strategic influence.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used quantitative data to influence a significant product decision. What was the problem, your approach, the insights, and the outcome?"
  • Preparation: Prepare 2-3 detailed case studies that highlight your quantitative skillset, methodological rigor, and demonstrable impact. Focus on the narrative: problem, your specific actions, key data points, insights, and measurable results.
• "How would you design a study to measure the impact of Feature X on user engagement/retention/satisfaction?"
  • Preparation: Practice outlining research plans. Specify your target metrics, study design (e.g., A/B test, longitudinal survey), sampling strategy, data analysis methods, and potential confounding factors. Showcase your ability to think systematically and quantitatively.
• "Imagine you have conflicting quantitative and qualitative findings on a particular user behavior. How would you reconcile them and advise the product team?"
  • Preparation: Discuss strategies for triangulation, identifying potential methodological flaws, exploring nuances, and framing recommendations that acknowledge both data types.

Company & Culture Questions:

• "Why Meta? What interests you about working here, and specifically in this quantitative UX Research role?"
  • Preparation: Research Meta's mission, recent product launches, and its approach to UX research. Connect your skills and career aspirations to Meta's goals and the specific opportunities presented by this role.
• "How do you approach collaboration with Product Managers and Designers who may have different perspectives or priorities?"
  • Preparation: Prepare examples of how you've built rapport, navigated disagreements, and used data to find common ground and drive alignment. Emphasize your communication and influencing skills.
• "How do you ensure your research is rigorous and unbiased, especially when dealing with large datasets?"
  • Preparation: Discuss your understanding of statistical validity, potential biases (sampling, response, measurement), and the steps you take to mitigate them. Highlight your commitment to methodological integrity.

Portfolio Presentation Strategy:

• Clarity and Conciseness: Focus on the most impactful projects. Clearly state the objective, your role, the methods, key findings, and the resulting impact.
• Data Visualization: Use clear, well-designed charts and graphs to illustrate your findings. Ensure they are easy to understand for a mixed audience.
• Storytelling: Frame your projects as compelling stories that demonstrate your problem-solving skills and strategic thinking.
• Q&A Readiness: Anticipate questions about your methodology, data interpretation, and the business impact of your work. Be prepared to defend your choices and elaborate on your findings.

📝 Enhancement Note: Interviews for senior quantitative roles at Meta will heavily scrutinize analytical rigor, strategic thinking, and the ability to communicate complex data. Practicing case studies and articulating the business impact of research are critical.

📌 Application Steps

To apply for this operations position:

• Submit your application through the official Meta Careers portal via the provided URL.
• Portfolio Customization: Tailor your resume and cover letter to highlight your extensive experience (10+ years) in quantitative UX research, statistical analysis (R, SQL, STATA, SPSS), survey design, and influencing product strategy. Emphasize specific achievements with measurable outcomes.
• Portfolio Preparation: Curate 2-3 of your most impactful quantitative research projects. Ensure each project clearly outlines the problem, your methodology, key findings, and quantifiable impact on product decisions or business metrics. Be ready to present these in detail.
• Technical Skill Reinforcement: Brush up on advanced statistical concepts (regressions, ANOVA, T-tests), survey design principles, and data analysis techniques. Practice coding in R and SQL for data manipulation and analysis.
• Company Research: Familiarize yourself with Meta's products, recent initiatives, and its approach to user research and data-driven development. Understand how your quantitative skills can contribute to Meta's mission.

⚠️ 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.

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