Senior Product Data Scientist, AI & Metrics Architect

Google

Sunnyvale (CA)

Vor Ort

USD 192.000 - 278.000

Vollzeit

vor 38 Stunden

Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Health, dental, vision, life, and disb

401(k) with company match

Paid Time Off: 20 days per year

Sick Time: 40 hours/year (Seattle 69)

Maternity Leave: 28-30 weeks

Baby Bonding Leave: 18 weeks

Holidays: 13 paid days

Zusammenfassung

Google is seeking a Data Scientist/Analytics Engineer to support Workspace products with analytics expertise for Drive, Docs, Sheets, Slides, and more. You will translate data into actionable recommendations and build semantic layers for cross-product insights.

You will partner with product and engineering teams, shaping dashboards and self-serve tooling for billions of users worldwide, with compensation including base pay, bonus and equity.

Qualifikationen

Bachelor's degree in a quantitative field and 10 years analytics experience (or 8 years with a Master's).
8 years in core product analytics: engagement metrics, funnel analysis, and A/B testing infra.
8 years in data modeling and semantic layer design powering organizational consumption.
Experience operating distributed data processing engines.

Aufgaben

Lead research and development of metric frameworks to evaluate AI tooling within Workspace.
Collaborate across product engineering and data infrastructure to manage telemetry projects.
Design scalable data models and analytical architectures connecting product domains.
Scope initiatives for self-serve analytics with unified semantic layers and dashboards.

Kenntnisse

Analytics

Statistics

Data Science

Python

SQL

A/B testing

Data modeling

Semantic layers

Metric stores

Ausbildung

Bachelor's degree

Master's degree

Tools