Growth Data Scientist: AI Growth & Analytics

Google LLC; Mountain View, San Francisco (CA, CA); Vor Ort; USD 163.000 - 236.000; Vollzeit

Zusammenfassung

Google is seeking a Growth Data Science Analyst for AI Growth in the Google Labs and Workspace teams. You will build investigative intelligence, experimentation backbone, and data pipelines powering user acquisition, activation, and monetization across Labs and Workspace.

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

Qualifikationen

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.

Aufgaben

• Architect and maintain unified full-funnel growth data pipelines and executive dashboards tracking acquisition, activation, adherence across Labs and Workspace products.
• Build and automate dynamic first-party audience cohorting tables to power real-time lifecycle and remarketing triggers in Google Notification Platform, Chime mobile push, and Audience Builder.
• Audit and validate end-to-end event instrumentation and conversion tracking pipelines—identifying and fixing data discrepancies between product logs, GA4, and Google Ads conversion imports.
• Design, size, and analyze rigorous A/B, multi-cell, and geo-experimentation studies to measure true incremental lift across paid media, CRM lifecycle, and site optimization initiatives.
• Develop reusable AI/agentic analytics workflows, model context protocol (MCP) tools, and automated anomaly-detection scripts that enable the growth team to self-serve cohort sizing and campaign diagnostics at machine speed.

Jobbeschreibung

Google is seeking a Growth Data Science Analyst for AI Growth in the Google Labs and Workspace teams. You will build investigative intelligence, experimentation backbone, and data pipelines powering user acquisition, activation, and monetization across Labs and Workspace.

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