Quantitative UX Researcher - Job Opportunity at Google (YouTube)

San Francisco, USA
Full-time
Senior
Posted: February 3, 2025
Hybrid
USD 122,000-178,000 per year

Benefits

Competitive equity compensation with RSU grants
Comprehensive health insurance coverage
Performance-based bonuses
Professional development resources
Google's industry-leading benefits package

Key Responsibilities

Lead quantitative research initiatives to optimize YouTube ad experience
Design and execute large-scale data analysis and statistical modeling
Develop scalable research frameworks for user experience measurement
Drive evidence-based product decisions through advanced analytics
Collaborate cross-functionally with product, engineering and research teams

Requirements

Education

Bachelor's degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, related field, or equivalent practical experience

Experience

4 years of experience in an applied research setting

Required Skills

Programming (Python, R, MATLAB, C++, Java, or Go) Multivariate statistics Experimental design Data manipulation Computational statistics
Advertisement
Ad Space

Sauge AI Market Intelligence

Industry Trends

Growing emphasis on privacy-first measurement methodologies in digital advertising Increased demand for real-time user experience optimization in video platforms Rising importance of machine learning integration in UX research Shift towards more sophisticated multi-touch attribution models

Salary Evaluation

The offered range of USD 122,000-178,000 is competitive but slightly below market for senior quant UX roles in major tech companies, where top-end compensation can reach USD 200,000+

Role Significance

Typically part of a 5-8 person research team within larger 20-30 person UX organization
Senior individual contributor role with significant impact on YouTube's multi-billion dollar advertising business

Key Projects

Ad effectiveness measurement frameworks User journey optimization studies Cross-platform experience analysis Revenue impact modeling of UX changes

Success Factors

Strong balance of technical and research skills Ability to translate complex analysis into actionable insights Experience with large-scale data analysis Cross-functional collaboration capabilities

Market Demand

Very high demand with projected 25% growth in quantitative UX research roles over next 3 years, particularly in adtech and video streaming sectors

Important Skills

Critical Skills

Advanced statistical analysis for complex user behavior modeling Programming skills for large-scale data manipulation Experimental design expertise for robust research methodology

Beneficial Skills

Machine learning knowledge for advanced pattern recognition Data visualization skills for stakeholder communication Business analytics understanding for revenue impact assessment

Unique Aspects

Rare opportunity to influence advertising experience at massive scale
Access to uniquely large and diverse dataset
Strong emphasis on computational skills compared to traditional UX research roles

Career Growth

Typical progression to team lead within 2-3 years, management track available after 3-4 years

Potential Next Roles

Lead Quantitative UX Researcher UX Research Manager Product Analytics Lead Research Science Manager

Company Overview

Google (YouTube)

YouTube dominates online video with over 2 billion monthly active users and significant advertising revenue

Leader in video advertising space with continued growth in market share
Major tech hub presence with significant research operations across multiple US locations
Fast-paced, data-driven environment with emphasis on impact and innovation
Advertisement
Ad Space
Apply Now

Data Sources & Analysis Information

Job Listings Data

The job listings displayed on this platform are sourced through BrightData's comprehensive API, ensuring up-to-date and accurate job market information.

Sauge AI Market Intelligence

Our advanced AI system analyzes each job listing to provide valuable insights including:

  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

This integration of reliable job data with AI-powered analysis helps provide you with comprehensive insights for making informed career decisions.