Define and measure quantitative UX goals and metrics. Drive the adoption of instrumentation and data infrastructure within your project area to enable measurement.
Apply advanced statistical techniques to solve complex problems. Execute data analysis using different sources (e.g., survey data with system logs) to identify key drivers of AI success and understand user behavior.
Develop and execute a project-level research road map to inform product strategy.
Collaborate closely with product management and engineering to identify high-impact research questions and translate statistical findings into product requirements and data pipeline definitions.
Create clear, data-backed narratives that communicate user behaviors and technical analysis to stakeholders, ensuring alignment on user needs and product strategy.
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
4 years of experience in product research 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).
Preferred qualifications:
Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or a related field.
Experience in programming computational and statistical algorithms for large data sets.
Experience with SQL, R, or Python for analyzing large datasets and user logs to complement primary research findings.
Experience designing advanced evaluation frameworks while processing with multimodal data input.
Knowledge of Human-Computer Interaction (HCI) principles to influence the design and evaluation of interactive systems.
Understanding of user research questions and technical tools to analyze data and measure products user experience and interaction.
