Quantitative UX Researcher, YouTube Ads

Minimum qualifications:

• Bachelor's degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, a related field, or equivalent practical experience.
  
• 4 years of experience in an applied research, product research setting, or similar.
• Experience with survey design and metrics development.
  
• Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, SQL).

Preferred qualifications:

• Master's degree or PhD in Human-Computer Interaction, Psychology, Political Science, Statistics, Computer Science, or a related field.
  
• Experience cleaning, joining, and analyzing datasets with diverse types of data, logs, and surveys.
• Experience collaborating with other roles (e.g., product managers, designers, and engineers) to influence product decisions.
• Experience with data visualization techniques and tools for visual storytelling.
• Excellent quantitative research method skills to produce insights and drive product excellence.

About the job

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.

Responsibilities

• 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 patterns from 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 for both research experts and non-experts.