Quantitative Methods Jobs in California (NOW HIRING)

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 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. We value a wide-range of perspectives and stem from many different backgrounds. We're looking for communicators who are knowledgeable about research devoted to understanding people, and interested in the relationship between technology and society.
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
• Communicate results and illustrate suggestions in compelling ways
• Work cross-functionally with design, product management, content strategy, engineering and marketing
• Generate insights that both fuel ideation and evaluate designs
Minimum Qualifications
• Bachelor's degree with 7+ years of relevant experience in user experience, applied research and/or product research and development or a Master's degree and 5+ years relevant experience, or PhD and 2+ years relevant experience
• Relevant experience within user experience, applied research setting and/or product research and development
• Experience conducting In-Depth Interviews or Focus Groups and Concept Testing or Usability Testing
• Experience coding with R, SQL, STATA, SPSS or equivalent
• Experience applying statistical analysis methods such as Regressions, ANOVA, and T-Tests
• Interest in and experience executing hands-on, primary research
• Experience translating research findings into narratives
• Proven experiences in a fast-moving organization, open to learning new research methods, committed to high-quality and rigorous research, and focused on influencing the future of Meta
• Experience of consistently working under your own initiative, seeking feedback and input where appropriate
Preferred Qualifications
• Experience with consumer products, consumer insights, or product development
• Degrees in a human behavior related field, such as Human-Computer Interaction, Psychology, Sociology, Communication, Information science, Media studies, Computer Science, or Economics
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.