Senior UX Quantitative Researcher, Search Ads

Google LLC•Mountain View, CA

49d•$151,000 - $222,000

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. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

Requirements

Bachelor's degree or equivalent practical experience.
6 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).

Nice To Haves

Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
5 years of experience conducting UX research on products and working with executive leadership (e.g., Director level and above).
Experience with psychophysical studies.
Experience in programming computational and statistical algorithms for data sets.
Experience in descriptive, inferential, and multivariate statistics, including t-test and ANOVA, and experimental design.
Excellent command of research questions in the cognitive, perceptual and behavioral areas of user experience, and of technical tools for the analysis of data within that field.

Responsibilities

Inform team of UXers, product managers, and engineers about user needs while playing a critical role in creating useful, usable, and delightful ad experiences on Google Search, working with stakeholders across functions and levels to drive impact at all stages of product development.
Investigate user behavior and user needs using empirical research methods such as logs analysis, survey research, path modeling, and regression analysis, combining skills in experimental design, statistical methods, and general programming to improve 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 data sets.
Develop code and statistical models to understand user experience.
Examine existing data and product designs to generate hypotheses and plans for high-impact research.

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