UX Quantitative Researcher, Google Ads
Teknik, data och digitalt · Data, AI och analys · Datavetenskap · Dataanalys · UI/UX-design
I korthet
Google Ads seeks a UX Quantitative Researcher to collaborate with cross-functional teams, using empirical methods like log analysis and surveys to understand user behavior and drive product innovation. The role requires expertise in programming languages for data manipulation and statistical analysis, with opportunities for growth within a supportive UXR community.
Ansvarsområden
- 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.
- Make research findings convincing and actionable for both research experts and non-experts.
Krav
- 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).
Önskade kvalifikationer
- Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
- 3 years of experience working with executive leadership (e.g., Director level and above).
- 2 years of experience conducting UX research on products, managing projects, and working in a large, matrixed organization.
Förmåner
- Supportive Quant UXR community.
- Mentorship opportunities.
- Regular meetups.
- Exclusive internal tools.
#UX#Quantitative Research#Google Ads#Data Analysis#User Behavior#Product Development#Statistical Modeling#Empirical Methods