Google is looking to solve complex engineering challenges and expand its infrastructure while maintaining a universally accessible and useful experience for its users, particularly in the Google Search team.
Requirements
- Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go).
- Experience in survey design and statistics.
- Knowledge of research questions within a given domain and technical tools for the analysis of data within that field.
- Knowledge of descriptive, inferential, and multivariate statistics, including t-test and ANOVA, and experimental design.
- Experience in programming computational and statistical algorithms for large data sets.
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 meaningful patterns from large 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 and actionable for both research experts and non-experts.
Other
- Bachelor’s degree or equivalent practical experience.
- 4 years of experience in an applied research setting or similar.
- Master's or PhD degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field (preferred).
- 3 years of experience working with executive leadership (e.g., director-level and above) (preferred).
