Growth Data Science Analyst: AI Growth Analytics + Equity

Google; San Francisco (CA); On-site; USD 163,000 - 236,000; Full time

Job summary

Google seeks a Growth Data Science Analyst for AI Growth to build investigative intelligence, experimentation backbone, and data pipelines powering user acquisition, activation, and monetization across Google Labs and Google Workspace.

You will bridge product telemetry, web analytics, and omnichannel activation, writing production SQL/Python and building agentic data skills to turn raw signals into automated cohorts and incrementality readouts fast.

Qualifications

• Master's degree in a quantitative field or equivalent practical experience.
• 4 years of experience using analytics to solve product or business problems, coding (Python, R, SQL), querying databases or statistical analysis.
• 4 years of experience building analytics workflows, custom skills, or automated pipelines.
• 4 years of experience in SQL and Python or R for data modeling, cohort analysis, A/B testing, and workflow automation.
• 4 years of experience in growth analytics, marketing data science, or product analytics.

Responsibilities

• Architect and maintain unified full-funnel growth data pipelines and dashboards tracking acquisition and activation.
• Create and automate dynamic audience cohorting tables for real-time lifecycle and remarketing triggers.
• Audit and validate end-to-end event instrumentation and data pipelines across product logs, GA4, and Ads imports.
• Design and size A/B, multi-cell, and geo-experimentation studies to measure lift across paid media and CRM lifecycle.
• Develop reusable AI/agentic analytics workflows and automated anomaly-detection scripts for self-serve cohort sizing.

Skills

Analytics

Python

SQL

R

Education

Master's degree in quantitative discipline

Job description

Google seeks a Growth Data Science Analyst for AI Growth to build investigative intelligence, experimentation backbone, and data pipelines powering user acquisition, activation, and monetization across Google Labs and Google Workspace.

You will bridge product telemetry, web analytics, and omnichannel activation, writing production SQL/Python and building agentic data skills to turn raw signals into automated cohorts and incrementality readouts fast.