Senior Quantitative UX Researcher

Job Description

At Google, we follow a simple but vital premise: ''Focus on the user and all else will follow.'' Quantitative User Experience Researchers make this possible.
Google User Experience (UX) is made up of multi-disciplinary teams of UX Designers, Researchers, Writers, Content Strategists, Program Managers, and Engineers: we care deeply about the people who use our products. The UX team plays an integral part in gathering insights about the attitudes, emotions, needs, and behaviors of people who use our products to inspire and inform design. We collaborate closely with each other and with engineering and product management to create industry-leading products that deliver value for the people who use them, and for Google's businesses.
As a Quantitative User Experience Researcher (Quant UXR), you'll help inform your team of UXers, product managers, and engineers about user needs. You'll play a critical role in creating useful, usable, and delightful products. You'll work with stakeholders across functions and levels and have impact at all stages of product development.
You will investigate user behavior and user needs using empirical research methods such as logs analysis, survey research, path modeling, and regression analysis. Quant UXRs vary in background and use skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields. You'll combine skills in behavioral research design, statistical methods, and general programming to improve user experience.
The Quantitative UXR community at Google will help you do your best work. You'll have the opportunity to work with and learn from UXRs across Google through regular meetups, mentor programs, and access to internal research tools.
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun - and we do it all together.
Resonsibilities:
• Define and measure quantitative User Experience (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 research using methods from computer science, quantitative social science, statistics, econometrics, and related fields to understand user behavior and extract patterns from datasets.
• Examine existing data and product designs to generate hypotheses and plans for research.
• Prioritize and drive research to improve user experience, communicate findings to stakeholders in the company, and make research findings convincing for both research experts and non-experts.
Qualifications:
Minimum qualifications:
• Bachelor's degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, a related field, or equivalent practical experience.
• 5 years of experience in an applied research setting, or similar.
• 4 years of experience conducting mixed methods research, designing and analyzing surveys and data in an industry or academic environment.
• Experience in programming languages used for data analysis and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go).
• Experience with research design utilizing various methods (e.g., usability studies, contextual inquiry, surveys, etc.).
Preferred qualifications:
• Master's degree or PhD in Computer Science, Human-Computer Interaction, Economics, Statistics, Psychology or a related field, or equivalent practical experience.
• 5 years of experience conducting UX research on products and working with executive leadership (e.g., Director level).
• 3 years of experience managing projects, and working in an organization.
• Experience in descriptive, inferential, and multivariate statistics, including t-test and ANOVA, and experimental design.
• Experience in programming computational and statistical algorithms, including regression analysis, for data sets using R or Python.
• Excellent collaboration and communication skills, with the ability to build consensus and drive technical decisions across all stakeholder levels.

Jobcode: Reference SBJ-mkkebx-216-73-217-10-42 in your application.