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.

Bachelor’s degree or equivalent practical experience.

4 years of experience 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).

Experience in survey design and statistics.