DATA SCIENTIST LEAD L2
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You'll work with engineering and product teams to translate business questions into experiments, statistical models, and analysis pipelines, designing complex analyses around retrieval and ranking problems using causal inference and hierarchical modeling. You need a Master's degree in a quantitative field plus 8 years of analytics and coding experience (Python, R, SQL), or a PhD plus 6 years of work experience. Strong statistical theory, experimental design, and the ability to communicate findings to executives are essential.
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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.
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