Responsibilities Design and lead end-to-end UX research using mixed methods (qualitative and quantitative).
Develop research roadmaps, documentation, and repositories to scale insights across teams. Conduct literature reviews and create theory-informed briefs to guide product decisions.
Define success and guardrail metrics; perform power analyses, randomization, and statistical testing (e.g., t-tests, regression, ANOVA).
Use tools like SQL, Python, or R to clean, model, and visualize experimental data.
Translate complex data into clear, actionable insights for cross-functional teams.
Present findings through compelling storytelling tailored to diverse audiences. Facilitate workshops using service design principles to align stakeholders.
Collaborate with product, design, and engineering to shape strategic roadmaps. Stay current with research and development tools, behavioral science, and experimentation best practices.
Qualifications
Master's or PhD in Behavioral Science, Psychology, Cognitive Science, HCI, Statistics, or related quantitative field.
5+ years of applied UX research experience, with a strong portfolio of A/B and multivariate testing in digital products.
Expertise in experimental design, statistical analysis, and survey methodology.
Proficiency in tools such as SQL, Python, R, Mixpanel, and/or Databricks for data analysis and visualization, and remote research platforms such as Usertesting.com, dscout, MUIQ, Qualtrics, and/or Alchemer.
Strong communication and storytelling skills; ability to influence stakeholders.
Experience with personas, journey mapping, service design, and workshop facilitation. Self-starter with a client-service mindset and ability to navigate ambiguity
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