Job Description

Minimum qualifications:

• 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).

Preferred qualifications:

• Master's degree or PhD in human-computer interaction, cognitive science, statistics, psychology, anthropology, or a related field.
• 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 changing 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 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.

As a Senior Quantitative UX Researcher on the Android for Auto team, you will be instrumental in shaping product strategy through data-driven insights derived from user data. You will be responsible for managing analytical challenges, transforming logs data into knowledge of user behavior, and using these insights to drive key business decisions and impact, from growth strategies to product health assessments.

Additionally, you will play a key role in building out measurement capabilities, creating frameworks that integrate data sources to provide a holistic view of users.

Android is Google’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.

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 behavior and extract 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.