UX Researchers partner with Designers, Product Managers, Engineers, and Googlers across the company to improve the user experience and drive product excellence. Quantitative UX Researchers do this by leveraging empirical research methods from computer science, quantitative social science, statistics, econometrics, data science, and other fields to understand user behavior and extract meaningful patterns from large data sets.
In this role, you'll combine skills in experimental design, statistical analysis, programming, and human-computer interaction to improve user experience. As a key member of a product team, you'll work with stakeholders across functions and levels. You'll solve challenging problems and empower the team to move forward by developing metrics, measuring results, and integrating new methodologies into existing systems. Through reports and team engagement, you provide a UX perspective on quantitative data to help stakeholders understand their users. You'll also identify and quantify problems, and embark on new research areas worth exploring through innovative methods.
This differs from data science roles as it involves the application of data science to User Experience problems, and many Quant UX Researchers at Google come from a data science background. The primary difference between this role and a pure data science role is a strong interest in understanding user needs. Day to day, this is expressed in work with Qualitative UX Researchers, UX Designers, and Engineering teams to ensure that we're addressing users' needs.
User experience is at the forefront of how we create intuitive, innovative, and beautiful products that people love. We strive to learn and understand our users' needs, behaviors, and emotions to gather insights that inform product strategy and design. Our UX teams include designers, researchers, content strategists, and engineers who are passionate about quality, usability, and simplicity. We work on collaborative teams to solve complex challenges and craft experiences that highlight our products' unique capabilities and personalities. Our work touches billions while exemplifying a key principle that is core to Google's philosophy: "Focus on the user and all else will follow."
BA/BS degree in Computer Science, Human-Computer Interaction, Statistics, Psychology or a related field, or equivalent practical experience.
Experience in a programming language commonly used for data manipulation and computational statistics (such as Python, R, Matlab, C++, Java or Go), and with SQL.
Relevant product research experience or experience in an applied research setting.
MS or PhD degree in Computer Science, Human-Computer Interaction, Psychology, Statistics or a related field.
Demonstrated expertise in multivariate statistics and the design of experiments.
5 years of relevant work experience within User Experience, Human-Computer Interaction, applied research setting, and/or product research and development.
Proficiency in programming computational and statistical algorithms for large data sets.
Excellent command of research questions within a given domain, and of technical tools for the analysis of data within that field.
Understanding of descriptive statistics and basic inferentials including t-test and ANOVA.
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 meaningful patterns from large 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. Make research findings convincing and actionable for both research experts and non-experts.