Senior UX Quantitative Researcher, Human Factors

Senior UX Quantitative Researcher, Human Factors

_corporate_fare_ Google _place_ San Jose, CA, USA;
Miami, FL, USA; +3 more; +2 more

** Mid*
* Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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XApplicants in San Francisco:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
** San Jose, CA, USA;
Miami, FL, USA;
New York, NY, USA;
San Francisco, CA, USA** .

*
* Minimum qualifications:

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* + Bachelor's degree or equivalent practical experience.

+ 6 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).

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* Preferred qualifications:

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* + Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related fields.

+ 5 years of experience conducting UX research on products and working with executive leadership (e.g., Director level and above).

+ 3 years of experience managing projects, and working in a large, matrixed organization.

+ Experience conducting research in Augmented Reality and Virtual Reality product environments.

+ Experience in physical product environments conducting research to drive ergonomics and physical design decisions.

+ Understanding of human physiology, human performance, visual processing, attentional demands, ergonomics, etc.

** 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 diverse 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.

For decades, the computing revolution has reshaped our world driven by

breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap - the convergence of AI and XR. This is more than just new devices - it's about reimagining how we interact with the world around us. We're building a future where

lightweight XR devices like smart glasses and headsets pair with helpful AI  to augment human intelligence, offering personalized, conversational, and  contextually aware experiences.

The US base salary range for this full-time position is $159,000-$231,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google () .

** 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…