AI-Driven Quantitative UX Researcher II

Google Inc.; Northern (KY); Hybrid; USD 109,000 - 155,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid time off

Sick time

Maternity leave

Baby bonding leave

Holidays

Equity

Job summary

Google is seeking a Quantitative User Experience Researcher to join a multi-disciplinary team focused on data-driven product decisions. You will conduct large-scale studies, apply statistical techniques, and translate insights into actionable product improvements with partners across UX, PM, and engineering.

The role emphasizes AI-native methods and scalable analysis to boost engineer productivity. You will contribute to a culture of belonging and leverage internal tools to advance research at

Qualifications

• Bachelor's degree or equivalent practical experience.
• 1 year of experience in an applied research setting (e.g., product or academic), or a related role.
• Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go).

Responsibilities

• Execute quantitative user research studies, including large-scale surveys, logs analysis, and A/B test analysis.
• Apply descriptive and inferential statistics to large and complex datasets using tools like SQL, R, or Python.
• Explore and apply AI-native investigative approaches to accelerate data processing and automate research tasks.
• Partner with UX Designers, Product Managers, and Engineers to scope research questions and integrate data-motivated insights into the product development lifecycle.
• Track and report on predefined user-centered metrics, communicating research findings and their implications to project teams.

Skills

Quantitative research

Statistics

Data analysis

Cross-functional collaboration

Education

Bachelor's degree or equivalent practical experience

Tools

SQL

Python

R

Job description

Google is seeking a Quantitative User Experience Researcher to join a multi-disciplinary team focused on data-driven product decisions. You will conduct large-scale studies, apply statistical techniques, and translate insights into actionable product improvements with partners across UX, PM, and engineering.

The role emphasizes AI-native methods and scalable analysis to boost engineer productivity. You will contribute to a culture of belonging and leverage internal tools to advance research at