Quantitative UX Researcher Intern (2027 Summer, MS/PhD, Growth/International Expansion)

Waymo; San Francisco (CA); Hybrid; USD 95,000 - 135,000; Full time

Benefits offered by this job

Medical/Dental/Vision Insurance

Educational reimbursement

401(k) and retirement plans

On-site meals and wellness facilities

Hybrid/remote work opportunities

Job summary

Waymo seeks a quantitative research collaborator in the Bay Area to help design and launch surveys in London and Tokyo, analyze diverse datasets, and support localization insights for product strategy.

You will synthesize results into clear reports for cross-functional teams, leveraging R, Python, and SQL to interrogate large-scale data and present findings effectively.

Qualifications

• Graduate student (Master’s or PhD) in a quantitative field
• Proven ability to present quantitative data to stakeholders
• Experience with survey design and analysis
• Experience with international market localization research
• Experience analyzing large public datasets or early-stage product data

Responsibilities

• Assist in designing and launching surveys in London and Tokyo
• Analyze survey data and public datasets to identify market segments
• Support quantitative analysis of user feedback from early engagement programs
• Conduct cross-market comparative analyses to inform localization strategies
• Synthesize and visualize findings into reports for Product, Marketing, and Operations

Skills

Analytical skills

Problem-solving

Communication

R

Python

SQL

Survey design

Cross-cultural analysis

Education

Graduate program in HCI/ Psychology/ Economics/ Statistics/ Data Science/ Marketing

Tools

R

Python

SQL

Job description

• Assist in the design, programming, and launching of surveys to potential users in London and Tokyo to understand travel behaviors, price sensitivity, feature preferences, and perceptions of autonomous vehicles
• Analyze survey data and publicly available datasets to identify key market segments and growth opportunities
• Support quantitative analysis of user feedback from early engagement programs or market simulations
• Conduct comparative analyses of quantitative data across London, Tokyo, and existing US markets to inform localization strategies
• Synthesize and visualize quantitative findings into clear reports and presentations for cross-functional partners in Product, Marketing, and Operations

Benefits

• Medical, dental, and vision insurance for employees and dependents
• Employee assistance programs focused on mental health
• Personalized workplace adjustments for diverse needs and abilities, including physical, mental, and neurodivergent considerations
• Access to mental health apps
• Onsite wellness centers
• Counseling services
• Second medical opinion for you and your loved ones
• Medical advocacy program for transgender employees
• Support programs including menopause benefit
• Competitive compensation
• Regular bonus and equity performance grant opportunities
• Generous 401(k) and regional retirement plans
• Annual cross-company compensation review and pay equity analysis
• 1-on-1 financial coaching
• Fertility and growing family assistance
• Parental leave and baby bonding leave
• Survivor income benefit
• Elder care and support
• Backup childcare
• Caregiver leave
• Paid time off, including vacation, bereavement, sick leave, parental leave, disability, and holidays
• Jury duty leave
• Military leave
• Hybrid work model with remote work opportunities also available
• Educational reimbursement
• Peer learning and coaching platform
• Donation matching programs
• Volunteer hours
• Employee resource groups
• Internal community groups and local culture clubs
• Inspiring spaces to work, recharge, and collaborate with fellow Waymonauts
• On-site meals and snacks
• Fitness centers, massage programs, and ergonomic support
• On-demand fitness, wellbeing, and cooking classes
• Commuter benefits

Currently enrolled in a graduate program (Master’s or PhD) in Human-Computer Interaction, Psychology, Economics, Statistics, Data Science, Marketing, or a related quantitative fieldStrong analytical, problem-solving, and communication skills to present quantitative data clearly to stakeholdersProficiency in programming languages used for data manipulation and statistics (e.g., R, Python, SQL) to query and analyze user-level observational dataStrong understanding of quantitative research methods, statistical analysis, and survey designDemonstrated interest in international markets, cultural differences, and global product localizationExperience conducting cross-cultural survey research or international comparative analysesExperience analyzing large-scale public datasets or early-stage product engagement data