UX Survey Scientist

Responsibilities

• Design and validate quantitative research instruments to ensure surveys are reliable, unbiased, and accurate.
• Develop and maintain a library of validated, reusable scales for core constructs to enable consistent measurement.
• Lead the design and statistical validation of client segmentation frameworks using latent class analysis, factor analysis, and cluster analysis.
• Conduct inferential statistical analysis, including significance testing, regression modeling, and advanced preference measurement (MaxDiff, conjoint).
• Define and enforce confidence standards for the insights repository to distinguish between statistically significant and directional findings.
• Partner with qualitative researchers and behavioral analysts to integrate quantitative findings into a shared, AI-augmented repository.

Requirements

• Master's degree or PhD in Psychology, Statistics, Cognitive Science, Sociology, or a related quantitative field.
• 8+ years of applied quantitative research experience with ownership of full study design through analysis.
• Proficiency in Confirmatory Factor Analysis (CFA) and Item Response Theory (IRT) for scale development.
• Hands-on experience with segmentation methodologies including latent class analysis, factor analysis, and cluster analysis.
• Experience with advanced preference measurement techniques such as MaxDiff and/or conjoint analysis.
• Production-level proficiency in R or Python.
• Strong command of inferential statistics, including regression modeling and ANOVA.

Preferred Qualifications

• Experience designing longitudinal or multi-wave research programs for trend analysis.
• Experience working with B2B, professional, or institutional audiences.
• Experience within a financial services context.
• Ability to communicate complex statistical findings clearly to non-technical stakeholders.

Benefits

• Medical, vision, and dental benefits.
• 401k retirement plan.
• Variable pay and incentives.
• Paid time off and paid holidays.

About the Company

Citi is building an insights repository that will serve as the quantitative backbone of an AI-powered research intelligence system.