Senior Quantitative UX Researcher, Knowledge and Discovery
Job Description
- Master's or PhD in related field
- Data cleaning and analysis experience
- Collaboration with cross-functional teams
- Data visualization skills
- Experience with path modeling and regression analysis
- Bachelor's degree in related field
- 5+ years experience in applied research
- Experience with survey design and metrics
- Programming skills (Python, R, SQL)
- Conduct empirical research
- Communicate findings to stakeholders
Minimum qualifications:
- Bachelor's degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, a related field, or equivalent practical experience.
- 5 years of experience in an applied research, product research setting, or similar.
- Experience with survey design and metrics development.
- Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, SQL).
Preferred qualifications:
- Master's degree or PhD in Human-Computer Interaction, Psychology, Political Science, Statistics, Computer Science, or a related field.
- Experience cleaning, joining, and analyzing datasets with diverse types of data, logs, and surveys.
- Experience collaborating with other roles (e.g., product managers, designers, and engineers) to influence significant product decisions.
- Experience in data visualization techniques and tools for visual storytelling.
- Experience with quantitative research methods to produce insights and drive product excellence.
About the job
At Google, we follow a simple but vital premise: "Focus on the user and all else will follow." Quantitative User Experience Researchers make this possible.
Google User Experience (UX) is made up of multi-disciplinary teams of UX Designers, Researchers, Writers, Content Strategists, Program Managers, and Engineers: we care deeply about the people who use our products. The UX team plays an integral part in gathering insights about the attitudes, emotions, needs, and behaviors of people who use our products to inspire and inform design. We collaborate closely with each other and with engineering and product management to create industry-leading products that deliver value for the people who use them, and for Google’s businesses.
As a Quantitative User Experience Researcher (Quant UXR), you’ll help inform your team of UXers, product managers, and engineers about user needs. You’ll play a critical role in creating useful, usable, and delightful products. You’ll work with stakeholders across functions and levels and have impact at all stages of product development.
You will investigate user behavior and user needs using empirical research methods such as logs analysis, survey research, path modeling, and regression analysis. Quant UXRs vary in background and use skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields. You’ll combine skills in behavioral research design, statistical methods, and general programming to improve user experience.
The Quantitative UXR community at Google will help you do your best work. You’ll have the opportunity to work with and learn from UXRs across Google through regular meetups, mentor programs, and access to internal research tools.
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. With an inclusive mindset, 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 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, and communicate findings to stakeholders in the company, make research findings convincing for both research experts and non-experts.
