Senior Quantitative UX Researcher, Search Verticals Growth

Full-time

San Francisco, CA

Web Search Portals, Libraries, Archives, and Other Information Services

About the position

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. In Google Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Responsibilities

• Define and measure quantitative UX goals and metrics in collaboration with Designers, Qualitative Researchers, Data Scientists, Engineers and Program Managers.
• 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 research.
• Prioritize and deliver research to improve user experience. Communicate findings to stakeholders in the company. support with research findings for both research experts and non-experts.
• Craft quantitative surveys to user behaviors and needs and develop code or statistical models to understand user experience.

Requirements

• Bachelor's degree 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.).

Nice-to-haves

• Master's degree or PhD in Computer Science, Human-Computer Interaction, 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 for data sets.
• Excellent collaboration and communication skills, across peers and executive management, building consensus and driving technical decisions with various sized customer stakeholder groups.

Benefits

• The US base salary range for this full-time position is $151,000-$222,000 + bonus + equity + benefits.