Senior UX Researcher, Quantitative – Search Ads

Google Inc.; New York (NY); On-site; USD 236,000 - 329,000; Full time

Benefits offered by this job

Equity

Bonus target

Job summary

Google is seeking a Senior Staff UX Quantitative Researcher for Search Ads to lead high-impact research across the product portfolio. You will work with Engineering and Product Management to uncover actionable insights that guide product directions and user experiences at scale.

You will drive impact through a mix of logs analysis, surveys, and experimental design, collaborating with teams across UX, PM, Data Science, and Engineering.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of experience in an applied research setting, or similar.
• Experience with programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go).
• Experience with survey data (e.g., attitudes and perceptions) and behavioral data (e.g., usage data and interactions).
• Experience with experimental design.

Responsibilities

• Set and drive an ambitious research agenda across Search Ads products.
• Collaborate with PM, Design, Data Science, and Engineering to prioritize research aligned with product goals.
• Advocate for UXR and contribute to a more evidence-based culture in UX.
• Demonstrate rigorous scientific and statistical judgement and communicate insights clearly.
• Leverage diverse methods including live-traffic experiments, surveys, and qualitative research.

Skills

Python

R

MATLAB

C++

Java

Go

Experimental design

Statistical analysis

Programming

Data manipulation

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in related field

Job description

Google is seeking a Senior Staff UX Quantitative Researcher for Search Ads to lead high-impact research across the product portfolio. You will work with Engineering and Product Management to uncover actionable insights that guide product directions and user experiences at scale.

You will drive impact through a mix of logs analysis, surveys, and experimental design, collaborating with teams across UX, PM, Data Science, and Engineering.