We are looking for a curious, data-savvy UX Researcher to join our team as a contactor. You will help accelerate our journey toward an AI-Native research practice by bringing hard-won external experience in using AI tools within research workflows, and by embedding behavioural data fluency across the team. You will work closely with the Head of UX Research and collaborate regularly with Researchers, Designers, and Product Managers. The team is actively building an AI-native research practice - you won't be joining something fully formed. You'll help shape it.
What You'll Do
Quantitative Research & Statistics
Design, execute, and analyse quantitative studies including large-scale surveys, concept tests, and benchmark studies [MUST HAVE]
Apply statistical methods confidently: significance testing, regression analysis, factor analysis, conjoint, MaxDiff, and more [MUST HAVE]
Build clear, insight-led outputs from quantitative data that drive product and business decisions [MUST HAVE]
Behavioural & Product Data Analysis
Extract, interpret, and storytell with behavioural data from platforms such as Power BI, Amplitude, Mixpanel, or similar [MUST HAVE]
Triangulate product usage data with primary research to surface richer, more actionable insights [MUST HAVE]
Cross-Team AI Acceleration
Lead AI research initiatives end-to-end - from scoping to delivery - while actively partnering with fellow researchers throughout [MUST HAVE]
Work alongside researchers across the team to co-develop AI-assisted processes, templates, and playbooks that embed into everyday ways of working
[MUST HAVE]
Collaborate with researchers on shared AI projects, bringing structure and momentum while creating space for others to upskill alongside you
What We're Looking For
Non-Negotiables
Demonstrable experience using AI tools within a research context - not just awareness, but active application [MUST HAVE]
Strong quantitative research skills: survey design, statistical analysis, and insight generation [MUST HAVE]
Hands-on experience pulling and interpreting behavioural data from Power BI, Amplitude, or equivalent platforms [MUST HAVE]
Solid grounding in mixed-methods research - you can move fluently between qual and quant [MUST HAVE]
Experience creating or leading AI-related research initiatives, not just participating in them [MUST HAVE]
Familiarity with research tooling: UserTesting, Qualtrics, Airtable, Maze, or similar.
Experience in Foresight or Strategic Foresight research - scenario planning, horizon scanning, trend analysis, or futures methodologies.
UX Researcher — AI & Quantitative Specialist • San Jose, CA, United States
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