Meta
UX Researcher, Quantitative
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About the Role
Our UX Research team is designing for the broad spectrum of human needs, which requires us to understand the behaviors of the people behind them. Our researchers tackle some of the most complex challenges to gain further insights into how people interact with each other and the world around them, and work collaboratively to contribute new ideas to products that impact the experiences of billions of people on a global scale. This job description represents different full-time roles across Meta. We use a variety of qualitative and quantitative methods to accomplish our goals, including surveys, focus groups, field studies, usability tests, and 1:1 interviews. Our team members bring varied professional and academic backgrounds to their work. We’re looking for great communicators who are knowledgeable about research devoted to understanding people, and curious about the relationship between technology and society.
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Responsibilities
- Work closely with product and business teams to identify research topics
- Act as a thought leader in the domain of research, while advocating for the people who could use our products
- Design and execute end-to-end custom primary research using a wide variety of methods
- Design studies that address both user behavior and attitudes
- Effectively manage and prioritize research plans through ambiguous and fast-changing environments, align and efficiently execute critical insights and work with a large group of stakeholders
- Generate insights that both fuel ideation and evaluate designs
Minimum Qualifications
- Bachelor’s in relevant field with several years of experience in quantitative user research
- Master’s or PhD in relevant field with a few years of experience in quantitative user research
- Experience coding with R, SQL, STATA, SPSS or equivalent
- Experience with survey design and response effects
- Experience applying statistical analysis methods such as Regressions, ANOVA, and T-Tests
- Interest in and experience executing hands-on, primary research
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Preferred Qualifications
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Degrees in a human behavior related field, such as Human-Computer Interaction, Psychology, Sociology, Communication, Information Science, Media Studies, Computer Science, or Economics
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
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