UX Quantitative Researcher, Geo Makers

Google; New York (NY); On-site; USD 109,000 - 155,000; Full time

Benefits offered by this job

Health benefits

Dental & Vision

401(k) with match

Paid time off 20 days

Sick time 40 hours/yr

Maternity leave 28–30 wks

Baby bonding leave 18 wks

13 paid holidays

Job summary

Google is seeking a UX Quantitative Researcher for the Geo Makers team. You will join a multidisciplinary group and quantify user interactions across Maps Platform APIs, Earth Engine, and geospatial developer tools to inform product strategy.

You will analyze logs, telemetry, and UX data, define metrics, and translate findings into clear briefs and dashboards for cross-functional partners. This role supports multiple US locations including Mountain View, New York, and Seattle.

Qualifications

• Bachelor's degree in HCI, Statistics, CS, Economics, Psychology, Data Science, or equivalent practical experience.
• 1 year of experience in an applied research setting (product or academic).
• Experience in programming languages used for data manipulation and computational statistics (Python, R, MATLAB, C++, Java, or Go).

Responsibilities

• Query, clean, and model user interaction logs and telemetry to understand developer workflows and platform engagement.
• Define, validate, and track user-centric metrics and UX key results to support product-led growth.
• Translate statistical analyses into clear briefs, dashboards, and decision frameworks for stakeholders.
• Advance analysis-friendly telemetry schemas, logging standards, and taxonomies to evaluate emerging AI.

Skills

Python

R

MATLAB

C++

Java

Go

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD (preferred)

Tools

Geospatial software

APIs

Cloud tools

Developer platforms

Job description

UX Quantitative Researcher, Geo Makers

Mountain View, CA, USA; New York, NY, USA; +2 more; +1 more

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; Seattle, WA, USA.

Minimum qualifications:

• Bachelor's degree in Human-Computer Interaction, Statistics, Computer Science, Economics, Psychology, Data Science, or equivalent practical experience.
• 1 year of experience in an applied research setting (e.g., product or academic), or similar.
• Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go).

Preferred qualifications:

• Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
• 1 year of experience conducting UX research on products and working in a large, matrixed organization.
• Experience analyzing behavioral logs, telemetry, and prompt data for artificial intelligence applications.
• Experience working with developer platforms, APIs, cloud tools, technical enterprise products, or geospatial software.

About the job

At Google, we "Focus on the user and all else will follow." As a Quantitative User Experience Researcher (Quant UXR), you make this possible. You will join a multi-disciplinary team, collaborating closely with Engineering and Product Management to create industry-leading, innovative products.
You will drive impact at all stages of development by investigating user behavior through empirical methods like logs analysis, survey research, and regression. We value diverse educational experiences—from Computer Science to Psychology—and require a blend of behavioral research design, statistical proficiency, and programming skills to uncover actionable insights. Beyond the work, you will grow within a supportive Quant UXR community offering mentorship, regular meetups, and exclusive internal tools to help you thrive.

As a Quantitative UX Researcher on the Geo-Makers team, you will serve as a core quantitative engine driving user experience evaluation and measurement across Google’s geospatial developer and enterprise ecosystem, including Google Maps Platform APIs, Google Earth, Earth Engine, Environmental Capabilities, and emerging Agentic AI developer tooling. You will translate complex behavioral data into high-signal insights that land directly in product strategy and technical specifications, informing how developers and enterprise users build with geospatial intelligence.

The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.
The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $109000 - $155000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Query, clean, and model user interaction logs and product telemetry to understand developer workflows, drop-off points, and platform engagement across critical user journeys.
• Define, validate, and track user-centric metrics and UX key results to support product-led growth initiatives in partnership with cross-functional teams.
• Translate statistical analyses into clear and concise research briefs, dashboards, and decision frameworks for cross-functional stakeholders.
• Advance analysis-friendly telemetry schemas, logging standards, and taxonomies to evaluate emerging AI