AI-Driven UX Quantitative Researcher II

Google; Seattle (WA); Hybrid; USD 109,000 - 155,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision Insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off 20 days per year

Job summary

Google is seeking a Quantitative User Experience Researcher (Quant UXR) in the United States to join a multi-disciplinary team. You will investigate user behavior through empirical methods such as logs analysis, surveys, and regression, partnering with engineers and product managers to translate data into actionable insights that guide product decisions.

Minimum qualifications include a Bachelor\'s degree and 1 year of applied research experience, plus proficiency in Python, R, MATLAB, C++,

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

Python

R

MATLAB

C++

Java

Go

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in related field

Job description

Google is seeking a Quantitative User Experience Researcher (Quant UXR) in the United States to join a multi-disciplinary team. You will investigate user behavior through empirical methods such as logs analysis, surveys, and regression, partnering with engineers and product managers to translate data into actionable insights that guide product decisions.

Minimum qualifications include a Bachelor\'s degree and 1 year of applied research experience, plus proficiency in Python, R, MATLAB, C++,