Senior Product Quantitative Researcher, Cloud Security

Google • New York, NY

4d

About The Position

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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level