
Senior Quantitative UX Researcher, Wear OS
- London
- Permanent
- Full-time
- 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).
- 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.
- 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.
- Comply with all company health and safety policies, procedures, and legal requirements.