UX Survey Scientist - New York

About the Role

Citi is building an insights repository that will serve as the quantitative backbone of an Al-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.

Key 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, Al-augmented repository

Required Qualifications

Education : - Master's degree or PhD in Psychology, Statistics, Cognitive Science, Sociology, or a related quantitative field

Technical Skills

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 Ror Python; familiarity with survey platforms such as Qualtrics or equivalent

Experience

+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

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

Ability to communicate statistical findings clearly to non-technical stakeholders translating complexity into language that informs decisions without overstating certainty

Compensation, Benefits and Duration

Minimum Compensation: USD 42,000

Maximum Compensation: USD 148,000

Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.

Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.

This position is not available for independent contractors

No applications will be considered if received more than 120 days after the date of this post