Research Scientist, AI Secure Code, DeepMind
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Define and manage product success metrics while collaborating with engineering and product teams across partner areas. Design experiments, analyze trends, and apply causal inference to influence roadmaps and resource decisions. Build unified data pipelines integrating cross-product sources to evaluate end-to-end user journeys. Requires a bachelor's degree in a quantitative field and eight years of analytics experience using Python, R, or SQL to solve product problems, or five years with a master's degree.
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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.
39 more Data Scientist roles in Mountain View
177K – 272K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 34 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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