UX Quantitative Researcher, Google Ads

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 related field.
  
• 3 years of experience working with executive leadership (e.g., Director level and above).
• 2 years of experience conducting UX research on products, managing projects, and working in a large, matrixed organization.
  

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 the 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.

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 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.