Quantitative UX Researcher, Google Cloud Security

$122,000 - $178,000/Yr

Google - New York, NY

Full-time - Mid Level

New York, NY

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About the position

The Quantitative UX Researcher at Google Cloud Security is responsible for leveraging empirical research methods to inform product design and enhance user experience. This role involves collaborating with multi-disciplinary teams to gather insights about user behavior, needs, and attitudes, ultimately contributing to the development of user-friendly products. The researcher will utilize statistical methods and programming skills to analyze data and communicate findings effectively to stakeholders.

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 meaningful 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 for both research experts and non-experts.

Requirements

• Bachelor's degree or equivalent practical experience.
• 4 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).

Nice-to-haves

• Master's degree or PhD in Computer Science, Human-Computer Interaction, Psychology, Statistics, or a related field.
• Experience with Enterprise UX Research.
• Experience in multivariate statistics and in the design of experiments.
• Experience with industry data science practices, and with databases and industry metrics.
• Experience in programming computational and statistical algorithms for datasets.
• Experience with command of research questions within a domain, and of technical tools for the analysis of data within that field.

Benefits

• Health insurance
• 401k
• Paid holidays
• Flexible scheduling
• Professional development
• Employee discount programs