UX Quantitative Researcher, Search Verticals and Translate

Minimum qualifications: • Bachelor's degree or equivalent practical experience. • 4 years of experience in product research in an applied research setting, or similar. • Experience with research methods (e.g., usability studies, contextual inquiries, 1:1 interviews, unmoderated research studies). • Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C , Java, or Go). Preferred qualifications: • Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or a related field. • 2 years of experience conducting UX research on products, managing projects, and working in a large organization. • Experience in multivariate statistics and design of experiments. • Experience with research study design and execution. • Experience in programming computational and statistical algorithms for large data sets. • Knowledge of technical tools for the analysis of data. 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. 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. The US base salary range for this full-time position is $129,000-$185,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities • Identify, define, measure, and optimize the factors that drive a positive Search experience. • Design, conduct, and analyze research to understand user needs, values, and quality expectations through quantitative and qualitative methods. • Connect behavioral data with survey data, extract meaningful patterns from large data sets to answer core business questions and to inform product decisions. • Collaborate across insights teams (e.g. qualitative research, analytics and data science) to synthesize various data that drives decision-making in a changing environment. • Communicate effectively through accurate and compelling reports and presentations and identify meaningful patterns and signals to provide coherent insights that inform decisions. Apply tot his job Apply To this Job