Senior Product Quantitative Researcher, Cloud Security

Google•New York, NY

About The Position

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. We value diverse educational experiences—from Computer Science to Psychology—and require a blend of behavioral research design, statistical proficiency, and programming skills to uncover actionable insights. Beyond the work, you will grow within a supportive Quant UXR community offering mentorship, regular meetups, and exclusive internal tools to help you thrive. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Requirements

Bachelor's degree or equivalent practical experience.
6 years of experience in product research in an applied research setting, or similar.
4 years of experience in data analysis, data science, product analytics, or a related role.
Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go).
Experience extracting and manipulating data from relational databases using SQL.

Nice To Haves

Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
Experience with statistical analysis, hypothesis testing, and experiment design and analysis.
Experience with datasets and distributed computing systems (e.g., Google Cloud Platform, BigQuery, Flume).
Experience with machine learning techniques and libraries.
Experience with data visualization tools (e.g., business intelligence platform, Looker).
Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.

Responsibilities

Collaborate with Product, Engineering, Go-to-Market, and Post-Sales leadership to solve critical business questions through data-driven analysis.
Conduct in-depth search analyses and statistical modeling to uncover user trends, predict outcomes, and identify growth opportunities.
Design and monitor core performance dashboards to track product health, user engagement, and key business results.
Build and maintain scalable SQL/Python pipelines to aggregate and enrich data, ensuring high quality and investigative excellence.
Translate findings into actionable recommendations for various audiences while contributing to team infrastructure and investigative standards.