{"title": "Senior Quantitative UX Researcher, Commerce", "level": "Mid", "location": "Mountain View, CA, USA; New York, NY, USA", "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 who 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\u2019s businesses. As a Quantitative User Experience Researcher (Quant UXR), you\u2019ll help inform your team of UXers, product managers, and engineers about user needs. You\u2019ll play a critical role in creating useful, usable, and delightful products. You\u2019ll 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 using skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields. You\u2019ll combine skills in behavioral research design, statistical methods, and general programming to improve user experience. The Quant UXR community at Google will help you do your best work. You\u2019ll have the opportunity to work with and learn from UXRs across Google through regular meetups, mentor programs, and access to internal research tools. People shop on Google more than a billion times a day - and the Commerce team is responsible for building the experiences that serve these users. The mission for Google Commerce is to be an essential part of the shopping journey for consumers - from inspiration to to a simple and secure checkout experience - and the best place for retailers/merchants to connect with consumers. We support and partner with the commerce ecosystem, from large retailers to small local merchants, to give them the tools, technology and scale to thrive in today\u2019s digital world.", "salary": "$142,000-$211,000 + bonus + equity + benefits", "key_qualifications": "Bachelor's degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, related field, or equivalent practical experience. 5 years of experience in an applied research setting, or similar. Experience in programming languages used for data manipulation and computational statistics (Python, R, MATLAB, C++, Java, Go), and with SQL. Product research experience in an applied research setting. Include a portfolio, website, or any other relevant link to your work in your resume (providing a viewable link and/or access instructions).", "preferred_qualifications": "Master's or PhD degree 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). 3 years of experience managing projects, and working in a large, matrixed organization. Excellent command of research questions within a given domain, and of technical tools for the analysis of data within that field. Proficiency in programming computational and statistical algorithms for large data sets. Demonstrated expertise in descriptive, inferential, and multivariate statistics, including t-test and ANOVA, and experimental design.", "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 meaningful patterns from large 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. Make research findings convincing and actionable for both research experts and non-experts.", "company": "google"}