Senior Quantitative UX Researcher — AI-Driven, Global Impact

Meta; San Francisco (CA); On-site; USD 193,000 - 266,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta seeks a quantitative UX Researcher to partner with product teams, identify topics, and lead hands-on studies that reveal how people think and behave. The role emphasizes applying rigorous methods and guiding cross-functional teams to transform insights into product decisions.

Ideal candidates bring strong coding skills, experience with surveys and statistics, and a track record in large-scale research efforts, with emphasis on responsible AI practices and collaboration across stakeholders.

Qualifications

• Experience coding with R/SQL/Python.
• Experience with survey design and response effects.
• Experience applying statistical methods (Regressions, ANOVA, and T-Tests).
• Interest in and experience executing hands-on, primary research.
• Bachelor's degree with 13+ years of relevant experience or a Master's with 11+ years or PhD with 8+ years.

Responsibilities

• Work closely with product and business teams to identify research topics.
• Act as a thought leader in the domain of research, advocating for users of our products.
• Design and execute end-to-end custom primary research using diverse methods.
• Design studies that address both user behavior and attitudes.
• Manage and prioritize research plans in ambiguous, fast-changing environments and align with stakeholders.
• Generate insights that fuel ideation and evaluate designs.

Skills

R

SQL

Python

Education

Bachelor's degree

Master's degree

PhD

Tools

AI tools

Job description

Meta seeks a quantitative UX Researcher to partner with product teams, identify topics, and lead hands-on studies that reveal how people think and behave. The role emphasizes applying rigorous methods and guiding cross-functional teams to transform insights into product decisions.

Ideal candidates bring strong coding skills, experience with surveys and statistics, and a track record in large-scale research efforts, with emphasis on responsible AI practices and collaboration across stakeholders.