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Job Details

Quantitative UX Researcher III

  2026-02-05     Ursus     all cities,AK  
Description:

JOB TITLE: Quantitative UX Researcher III
LOCATION: Remote
DURATION: 1/26/2026 - 10/10/2026
PAY RANGE: $76 - $86/hr.


TOP 3 SKILLS:

  • Proficiency in R, particularly using the Tidyverse package, to efficiently manipulate and analyze large-scale survey data
  • Experience designing surveys and developing survey items to ensure accurate measurement of user experience metrics
  • Strong statistical analysis skills, including descriptive statistics, regressions, ANOVA, and t-tests, to generate actionable insights from research data

Company:
Our client is a Fortune 500 multi-national technology company headquartered in Menlo Park, CA.

Overview:
The Quantitative UX Researcher will possess expertise in the development, management, and analysis of large-scale tracking surveys. A bachelor's degree with a minimum of seven years of relevant experience in user experience research, a master's degree with a minimum of five years of relevant experience, or a PhD with a minimum of two years of relevant experience is required.

Responsibilities:
  • Design, manage, analyze, and produce reports for large-scale, primarily tracking surveys
  • Effectively manage and prioritize research within ambiguous and rapidly changing environments
  • Generate effective insights to inform both ongoing and prospective research initiatives
  • Develop comprehensive research reports
  • Prioritize and manage research in fast-changing environments
  • Generate actionable insights for ongoing/new research
Minimum Qualifications:
  • Bachelor's degree with 7+ years of relevant experience in user experience research, Master's degree with 5+ years of relevant experience, or PhD with 2+ years of relevant experience
  • Demonstrated experience coding with R, particularly the Tidyverse package
  • Experience in survey design and item development
  • Experience applying statistical analysis methods, including basic descriptive analysis, regressions, ANOVA, and t-tests
  • Demonstrated interest in and experience executing hands-on, primary research
  • Proficiency with Google Suite applications
  • Experience with Python coding is considered advantageous
Must-Have Skills:
  • Coding proficiency in R (especially Tidyverse)
  • Survey design and item development experience
  • Statistical analysis (descriptive, regressions, ANOVA, t-tests)
Nice-to-Have Skills:
  • Python coding ability
  • Experience with Google Suite applications
  • Hands-on, primary research experience
Degrees/Certifications Required:
  • Bachelor's, Master's, or PhD in a relevant field (e.g., Psychology, Statistics, Human-Computer Interaction, Social Sciences)

Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.

BENEFITS SUMMARY: Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.

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