Senior Quantitative UX Researcher, Material Design

Define and measure quantitative UX and business goals in collaboration with various stakeholders. Investigate user behavior and needs using empirical research methods to improve user experience.

Responsibilities

• Define and measure quantitative UX and business goals and metrics in collaboration with Designers, Qualitative Researchers, Data Scientists, Engineers, and Product Managers.
• Develop code and statistical models to understand user experience.
• 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.
• Choose appropriate metrics to understand the use of Material Design throughout Google and its impact on end users and key product success measures.
• Work with teams across the company to conduct Live Experiments on their user interfaces and synthesize the data to explore the impact of various design components and tactics.
• Understand user reaction to updates in design.

Requirements

• Bachelor's degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, a related field, or equivalent practical experience.
• 6 years of experience in a Data Science, Analyst, or Quantitative UX Researcher role.
• Experience with survey design and metrics development.
• Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, SQL).
• Experience in design systems, user interface components, and front end development frameworks for Android, Web.
• Master's degree or PhD in Human-Computer Interaction, Psychology, Political Science, Statistics, Computer Science, or a related field.
• Experience collaborating with other roles (e.g., Product Managers, Designers, and Engineers) to influence product decisions.
• Experience cleaning, joining, and analyzing datasets with many types of data, logs, and surveys.
• Experience with data visualization techniques and tools for visual storytelling.
• Excellent quantitative research method skills to produce insights and drive product excellence.

Key Skills

• Survey design and metrics development.
• Data manipulation and computational statistics (Python, R, SQL).
• Design systems, user interface components, and front end development frameworks.
• Collaboration with Product Managers, Designers, and Engineers.
• Data cleaning, joining, and analysis.
• Data visualization techniques and tools.
• Quantitative research methods.