Growth Data Science Analyst, Google Labs and Workspace

Role Overview

As a Growth Data Science Analyst, you will build investigative intelligence, experimentation backbone, and data pipelines powering user acquisition, activation, and monetization across Google Labs and Google Workspace.

What You Will Do

You will architect and maintain unified full-funnel growth data pipelines and executive dashboards, build and automate dynamic first-party audience cohorting tables, audit and validate event instrumentation and conversion tracking pipelines, design and analyze experimentation studies, and develop reusable AI/agentic analytics workflows.

Why It Might Be a Fit

You will bridge product telemetry, web analytics, and omnichannel activation, and work with an AI-first growth team to turn raw user signals into automated audience cohorts and closed-loop incrementality readouts.

Requirements

• Master’s degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience
• 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis
• 4 years of experience building agentic analytics workflows, custom skills, or automated pipelines
• 4 years of experience in SQL and Python or R for data modeling, cohort analysis, randomized controlled trials (A/B testing), holdback experiments, causal inference/incrementality models, and workflow automation
• 4 years of experience in growth analytics, marketing data science, or product analytics

Benefits

• Individual pay determined by factors including job-related skills, experience, and relevant education or training
• Bonus target of 15%
• Equity
• Benefits (learn more at Google)

Tagged as: Python, SQL