Quantitative UX Researcher, Search Ads

📍 Job Overview

Job Title: Quantitative UX Researcher, Search Ads

Company: Google

Location: New York, NY; Mountain View, CA; Irvine, CA

Job Type: Full-Time

Category: User Experience Research / Data Science

Date Posted: 2026-06-03

Experience Level: Mid-Senior Level (2-5 years preferred)

Remote Status: On-site

🚀 Role Summary

• Drive impact by investigating user behavior through empirical methods like logs analysis, survey research, and regression for Google Search Ads.

• Collaborate closely with Engineering and Product Management to create industry-leading, innovative ad experiences.

• Leverage expertise in behavioral and data science to set an original research agenda and advance understanding of user interactions.

• Utilize quantitative research methods and programming skills to extract actionable insights and improve UX for Google's advertising products.

📝 Enhancement Note: This role is positioned within the Google Ads division, a critical component of Google's advertising technology. The emphasis on "Quantitative UX Researcher" and "Search Ads" indicates a strong focus on data-driven insights to optimize user experience specifically within the advertising context on Google Search. The role requires a blend of deep statistical knowledge and practical application in a product development lifecycle.

📈 Primary Responsibilities

• Set and drive an original research agenda, utilizing technical expertise in behavioral science, survey science, and data science to deepen the understanding of user interactions with Google's products, particularly ads on Google Search.

• Investigate user behavior, user experience, and user needs through quantitative research methods including logs analysis, survey research, and regression analysis.

• Combine skills in experimental design, advanced statistical methods, and general programming to enhance user experience and extract meaningful patterns from large datasets.

• Demonstrate excellent scientific and statistical judgment, producing rigorous and actionable insights in a dynamic product development environment.

• Collaborate effectively with cross-functional stakeholders across Engineering, Product Management, and other teams at all stages of product development to ensure research informs strategic decisions.

• Define and implement robust experimental designs to test hypotheses related to user engagement and ad effectiveness.

• Analyze large-scale datasets to identify trends, patterns, and opportunities for UX improvement.

• Communicate complex research findings clearly and concisely to diverse audiences, including senior leadership.

• Contribute to setting high technical standards for the quantitative user research community within Google.

📝 Enhancement Note: The responsibilities highlight a significant degree of autonomy and strategic input. The emphasis on "setting an original research agenda" suggests that candidates are expected to proactively identify research opportunities and lead initiatives rather than solely executing assigned tasks. The requirement to "advance understanding of user interactions" points to a role that contributes to foundational knowledge within the Search Ads domain.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in a relevant field (e.g., Computer Science, Statistics, Psychology, Human-Computer Interaction, Data Science) or equivalent practical experience.

Experience:

• Minimum of 4 years of experience in product research within an applied research setting, or a similar role focused on quantitative analysis of user behavior.

Required Skills:

• Proven experience in experimental design, hypothesis testing, and statistical analysis.

• Strong understanding and practical application of survey methodology.

• Proficiency in programming languages used for data manipulation and computational statistics, such as Python, R, MATLAB, C++, Java, or Go.

• Experience with logs analysis and regression analysis to understand user behavior.

Preferred Skills:

• Experience in multivariate statistics and the design of complex experiments.

• Demonstrated ability to self-direct and choose appropriate analysis approaches for a given research question and dataset.

• Proficiency in programming computational and statistical algorithms for large datasets.

• A track record of demonstrating command of research questions within a specific domain and mastering technical tools for data analysis in that field.

• Experience conducting UX research on complex products in a large, matrixed organization.

📝 Enhancement Note: The distinction between minimum and preferred qualifications suggests that while a Bachelor's degree and 4 years of experience are foundational, a Master's or PhD and additional years of experience, particularly in complex product environments and with advanced statistical techniques, will significantly strengthen an application. The emphasis on self-direction in analysis choices indicates a need for strong critical thinking and problem-solving skills.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of quantitative research projects demonstrating a clear research question, methodology, analysis, and impact on product decisions.

• Examples of experimental designs and statistical analyses conducted, with clear explanations of the rationale and findings.

• Demonstrations of proficiency in data manipulation and analysis using programming languages (e.g., Python, R) for large datasets.

• Case studies illustrating how research insights led to concrete product improvements or strategic shifts, ideally within an advertising or user engagement context.

Process Documentation:

• Detailed descriptions of research processes followed for past projects, including planning, execution, and reporting phases.

• Examples of how research methodologies were adapted to fit product development timelines and constraints.

• Documentation of how research findings were integrated into product roadmaps and decision-making workflows.

📝 Enhancement Note: A robust portfolio is crucial for this role, especially one that clearly quantifies the impact of research. Candidates should be prepared to walk through their analytical process in detail, highlighting their ability to connect statistical rigor with product strategy. The emphasis on "original research agenda" implies that the portfolio should also hint at proactive problem-solving and initiative.

💵 Compensation & Benefits

Salary Range: