UX Researcher, Quantitative

1 week ago

London, United Kingdom Meta Full time

Our work aims to understand the people who will use our products, gleaning insights to drive product direction and strategy. Our methods range from generative to evaluative, ethnography to experimentation, and involves close collaboration between researchers and our cross-functional partners.
As we scale the team, we're looking for teammates with a range of expertise from specialists to methodological generalists, with skills in qualitative, quantitative, and/or design research methods. For this position, we are looking for experienced researchers with skills in behavioral data analysis, experimental and survey research, and statistics.
If this sounds like you, come join us as we work to solve complex and meaningful problems for people around the world

**UX Researcher, Quantitative Responsibilities**:

- Work closely with product teams to identify important research questions
- Design and execute studies that address both user behavior and attitudes, using the right methodology for the right questions
- Generate insights that shape how product teams think about medium and long-term product strategy
- Conduct research using a wide variety of quantitative methods, and interpret analysis through the lens of UX, HCI, and social science
- Collaborate closely with qualitative and mixed methods researchers
- Partner with design, product management, data science, content strategy, engineering, marketing, and other technical roles to conduct and share research
- Act as a thought leader in the domain of research, while advocating for the people who could use our products
- Translating research findings into strategic narratives

**Minimum Qualifications**:

- Bachelors, Masters or PhD in human behaviour related field (Computer Science, HCI, Experimental Psychology, Sociology, Information Science, Economics, Political Science, Mathematics, etc.)
- Years of experience in applied quantitative user research
- Experience working with large-scale data in causal studies/multi-method studies
- Experience with applied statistics
- Experience with survey design, experiment, econometric modeling
- Proficiency in SQL, with coding experience in R or Python for data analysis and modeling

**Preferred Qualifications**:
**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.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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