Quantitative UX Researcher — Geo & Maps (Equity)
Google LLC
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Benefits offered by this job
Job summary
Google is seeking a Quantitative UX Researcher for the Geo Makers team to drive data-driven product insights across Maps APIs, Earth Engine, and related geospatial platforms. You will translate behavioral data into strategic product decisions, collaborating with engineering and product management to shape industry-leading experiences.
The role requires a blend of behavioral research design, statistical proficiency, and programming skills, with opportunities to work on AI tooling and developer
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).
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 tooling, developer kits, and APIs.
- Analyze prompt and log data for artificial intelligence applications to uncover insights for product strategy and technical specifications.
Skills
Education
Job description
Google is seeking a Quantitative UX Researcher for the Geo Makers team to drive data-driven product insights across Maps APIs, Earth Engine, and related geospatial platforms. You will translate behavioral data into strategic product decisions, collaborating with engineering and product management to shape industry-leading experiences.
The role requires a blend of behavioral research design, statistical proficiency, and programming skills, with opportunities to work on AI tooling and developer
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