Principal Data Scientist - Agent Team (Cortex)
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Develop metric frameworks and methodologies to evaluate Generative AI and agentic tooling effectiveness across Workspace products. Partner with product engineering and data infrastructure teams to design scalable data models, semantic layers, and metric stores connecting data across product domains. Scope self-serve analytics initiatives and build executive dashboards. Requires a bachelor's degree in a quantitative field, 10 years using analytics and coding (Python, R, SQL) to solve product problems, 8 years with product analytics concepts like funnel analysis and A/B testing, and 8 years designing semantic layers and metric stores.
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Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.
132 more Data Scientist roles in New York
209K – 231K
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