Staff UX Quantitative Researcher, Search AI, Quality and Trust
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 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 building and shipping products powered by Machine Learning, Natural Language Processing (NLP), or Large Language Models (LLMs).
Preferred qualifications:
- Master's degree or PhD in human-computer interaction, cognitive science, statistics, psychology, anthropology, or a related field.
- 8 years of experience conducting UX research on products.
- 7 years of experience working with executive leadership.
- 5 years of experience managing projects, and working in a changing organization.
- Experience working in close partnerships with teams developing or training Generative AI products and models.
About the job
At Google, we "Focus on the user and all else will follow." As a Quantitative User Experience Researcher (Quant UXR), you make this possible. You will join a multi-disciplinary team, collaborating closely with Engineering and Product Management to create industry-leading, innovative products.
You will drive impact at all stages of development by investigating user behavior through empirical methods like logs analysis, survey research, and regression. We value diverse educational experiences—from Computer Science to Psychology—and require a blend of behavioral research design, statistical proficiency, and programming skills to uncover actionable insights. Beyond the work, you will grow within a supportive Quant UXR community offering mentorship, regular meetups, and exclusive internal tools to help you thrive.
Responsibilities
- Influence stakeholders across organizations to gain support for research-based, user-centric solutions.
- Manage project priorities in alignment with product goals, and oversee allocation of resources within the project.
- Drive ideas to improve products and services through research-driven insights and recommendations.
- Lead teams to define and evaluate product, service, and ecosystem impact.
- Own idea and strategy discussions through research by analyzing, consolidating, or synthesizing what is known about user, product, service, or business needs.
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