Quantitative UX Researcher: Data-Driven AI & Insights

Google; San Jose (CA); Hybrid; USD 132,000 - 189,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid time off: 20 days/year

Sick time: 40 hours/year

Maternity leave: 28-30 weeks

Baby bonding leave: 18 weeks

Holidays: 13 days

Job summary

Google is seeking a Quantitative User Experience Researcher to join a multi-disciplinary team and collaborate closely with Engineering and Product Management to create industry-leading products.

You will investigate user behavior using logs, surveys, and regression, applying advanced statistics and programming skills to derive actionable insights that influence product roadmaps and engineering decisions.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 4 years of experience in product research in an applied research setting, including analyzing log data.
• Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, SQL) and working with AI platforms.

Responsibilities

• Lead and execute end-to-end quantitative user research studies, including logs/telemetry analysis, experiments, and large-scale surveys.
• Apply advanced statistical modeling and computational techniques to large datasets using SQL, Python, or R.
• Advocate and scale AI-native research workflows with automated analytical pipelines and self-service evaluation tools.
• Drive cross-functional strategy with UX designers, product managers, and engineering leads to embed quantitative excellence into roadmaps.
• Define and track novel user-centered metrics to influence architecture and feature prioritization.

Skills

Product research

Data analysis

Statistical thinking

Cross-functional collaboration

Education

Bachelor's degree or equivalent

Tools

Python

R

SQL

AI platforms

Job description

Google is seeking a Quantitative User Experience Researcher to join a multi-disciplinary team and collaborate closely with Engineering and Product Management to create industry-leading products.

You will investigate user behavior using logs, surveys, and regression, applying advanced statistics and programming skills to derive actionable insights that influence product roadmaps and engineering decisions.