Senior Quantitative UX Researcher

1 day ago

Sydney, New South Wales, Australia Google Full time
About the Role

We're seeking a highly skilled Quantitative User Experience Researcher to join our team at Google. As a Quant UXR, you'll play a critical role in creating useful, usable, and delightful products by investigating user behavior and user needs using empirical research methods.

Our team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.

Responsibilities
  • Define and measure quantitative UX goals and metrics in collaboration with Designers, Qualitative Researchers, Data Scientists, Engineers, and Program Managers.
  • Develop code and statistical models to understand user experience.
  • Conduct empirical research using methods from computer science, quantitative social science, statistics, econometrics, and other fields to understand user behavior and extract patterns from data sets.
  • Examine existing data and product designs to generate hypotheses and plans for high-impact research.
  • Prioritize and drive research to improve user experience, communicate findings to stakeholders in the company, and make research findings convincing.
Requirements
  • Bachelor's degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, related field, or equivalent practical experience.
  • 5 years of experience in an applied research setting, or similar.
  • Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go).
  • Experience in product research in an applied research setting.
Preferred Qualifications
  • Master's or PhD degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
  • 3 years of experience managing projects, and working in a changing organization.
  • Experience in descriptive, inferential, and multivariate statistics, including t-test and ANOVA, and experimental design.
  • Experience with survey research.
  • Excellent command of research questions within a given domain, and of technical tools for the analysis of data within that field.
  • Excellent visual communication design skills to engage a broad audience into data and insights.

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