UX Survey Scientist - New York

Photon•New York, NY

2d•$42,000 - $148,000•Onsite

About The Position

Citi is building an insights repository that will serve as the quantitative backbone of an AI-powered research intelligence system. We are looking for a Survey Research Scientist to own the quantitative research workstream and ensure survey best practices are established and scaled across the team. This is a hands-on role for someone who brings deep expertise in survey methodology and measurement science, and who can build rigorous, reusable frameworks that elevate the quality of the entire research program.

Requirements

Master's degree or PhD in Psychology, Statistics, Cognitive Science, Sociology, or a related quantitative field
Proficiency in confirmatory factor analysis (CA) and item response theory (IRT) for scale development and validation
Applied experience in sampling design, including stratified and quota-based approaches appropriate to defined target population
Hands-on experience with segmentation methodologies such as latent class analysis, factor analysis, cluster analysis, and Principle Component Analysis
Strong command of inferential statistics: regression modeling, ANOVA, and correction for multiple comparisons
Experience with advanced preference measurement: MaxDiff and/or conjoint analysis
Production-level proficiency in R or Python; familiarity with survey platforms such as Qualtrics or equivalent
+8 years of applied quantitative research experience with demonstrated ownership of full study design through analysis and insight delivery
Experience designing longitudinal or multi-wave research programs that enable trend analysis over time
Demonstrated experience working in a mixed-methods environment, collaborating with qualitative researchers as part of an integrated research approach
Ability to communicate statistical findings clearly to non-technical stakeholders translating complexity into language that informs decisions without overstating certainty

Nice To Haves

Experience with B2B, professional, or institutional audiences preferred; financial services context is an advantage but not required

Responsibilities

Design and validate quantitative research instruments, ensuring surveys are reliable, unbiased, and measure what they claim to measure
Develop and maintain a library of validated, reusable scales for core constructs enabling consistent measurement across studies and over time
Lead the design and statistical validation of client segmentation frameworks using latent class analysis, factor analysis, and cluster analysis
Conduct inferential statistical analysis across quantitative datasets, including significance testing, regression modeling, and advanced preference measurement (Maxiff, conjoint)
Define and enforce confidence standards for the insights repository establishing clear thresholds for when a finding is statistically significant vs. directional, and ensuring those distinctions are applied consistently
Partner with qualitative researchers and behavioral analysts to ensure quantitative studies are grounded in prior exploratory insight and that findings are structured for integration into a shared, AI-augmented repository