Quantitative UX Researcher, Search Ads

About the role

At Google, we focus on the user and all else will follow. As a Quantitative User Experience Researcher (Quant UXR), you make this possible. You will join a multi-disciplinary team, collaborating closely with Engineering and Product Management to create industry-leading, innovative products. You will drive impact at all stages of development by investigating user behavior through empirical methods like logs analysis, survey research, and regression.

Responsibilities

• Set and drive an original research agenda, drawing on your own and the team's technical expertise in a variety of areas (e.g., behavioral science, survey science, data science) to advance understanding of how users experience and interact with Google's products, including how users experience and interact with ads.
• Investigate user behavior, user experience, and user needs using quantitative research methods such as logs analysis, survey research, and regression analysis.
• Combine skills in experimental design, statistical methods, and general programming to understand and improve user experience and extract meaningful patterns from large data sets.
• Demonstrate excellent scientific and statistical judgement, producing rigorous insights in a changing environment.
• Work with stakeholders across functions and levels and have impact at all stages of product development.

Requirements

• Bachelor's degree or equivalent practical experience.
• 4 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).
• Experience in experimental design, hypothesis testing, statistical analysis, and survey methodology.

Preferred Qualifications

• Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
• 2 years of experience conducting UX research on products, managing projects, and working in a large, matrixed organization.
• Experience in multivariate statistics and the design of experiments with an ability to self-directed when it comes to choosing an analysis approach given a research question and a dataset.
• Proficiency in programming computational and statistical algorithms for large data sets.
• Track record in demonstrating command of research questions within a given domain, and of technical tools for the analysis of data within that field.

Qualifications

• Minimum qualifications: Bachelor's degree or equivalent practical experience.
• 4 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).
• Experience in experimental design, hypothesis testing, statistical analysis, and survey methodology.

Skills

• Blending of behavioral research design, statistical proficiency, and programming skills to uncover actionable insights.
• Collaboration across functions and levels to set an original research agenda.
• Leverage expertise in behavioral and data science to advance understanding of user interactions.
• Investigate behavior using methods like logs analysis, surveys, and regression.
• Combine experimental design and programming to improve UX and extract patterns from large datasets.
• Set high technical standards for the research community.

Benefits

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $132000 - $190000 (USD) + 15% bonus target + equity + benefits

Pay

$132000 - $190000 (USD)

Schedule

TBD