Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 4 years of experience in product research 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).

Preferred qualifications:

• Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or a related field.
• Experience in programming computational and statistical algorithms for large data sets.
• Experience with SQL, R, or Python for analyzing large datasets and user logs to complement primary research findings.
• Experience designing advanced evaluation frameworks while processing with multimodal data input.
• Knowledge of Human-Computer Interaction (HCI) principles to influence the design and evaluation of interactive systems.
• Understanding of user research questions and technical tools to analyze data and measure products user experience and interaction.

About the job

At Google, we "Focus on the user and all else will follow." As a Quantitative User Experience Researcher (Quant UXR), you make this possible. You will join a multi-disciplinary team, collaborating closely with Engineering and Product Management to create industry-leading, innovative products.

You will drive impact at all stages of development by investigating user behavior through empirical methods like logs analysis, survey research, and regression. We value educational experiences—from Computer Science to Psychology—and require a blend of behavioral research design, statistical proficiency, and programming skills to uncover actionable insights. Beyond the work, you will grow within a supportive Quant UXR community offering mentorship, regular meetups, and exclusive internal tools to help you thrive.

As a Quantitative UX Researcher for Spaces UX within Corporate Engineering, you will act as a key partner, blending research and product expertise to quantify the user experience of Google’s physical security and workplace experience platforms. You will leverage advanced statistical and data science techniques, including experimentation, to drive data-informed innovation and enhance user experiences, specifically supporting AI-driven innovation across workflows. You will be developing and implementing experimentation frameworks and data analysis on live sandboxes to help the team iterate on AI-powered workflows. You will influence product and engineering directions by driving multiple projects to improve quantitative insights, including instrumentation, measurement definition, metrics tracking, and statistical analysis.

At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.

Responsibilities

• Define and measure quantitative UX goals and metrics. Drive the adoption of instrumentation and data infrastructure within your project area to enable measurement.
• Apply advanced statistical techniques to solve complex problems. Execute data analysis using different sources (e.g., survey data with system logs) to identify key drivers of AI success and understand user behavior.
• Develop and execute a project-level research road map to inform product strategy.
• Collaborate closely with product management and engineering to identify high-impact research questions and translate statistical findings into product requirements and data pipeline definitions.
• Create clear, data-backed narratives that communicate user behaviors and technical analysis to stakeholders, ensuring alignment on user needs and product strategy.