Indeed serves over 200 million job seekers a month. The company has petabytes of data about jobs, résumés, clicks, impressions, applications, and hires—data covering all aspects of how these job seekers are discovering and finding new jobs. This data flows into sophisticated data science solutions that power Indeed’s most important products.
Benjamin Link walks you through how Indeed implements its data science full stack models, from labeling data, performing analysis, and generating features to building and validating a model, creating infrastructure, deploying a model, and monitoring a solution. Benjamin also explains how these techniques are applicable across a broad set of domains.
This session is sponsored by Indeed.
Benjamin Link is a data scientist at Indeed, where he works as a tech lead and data science manager with the applicant quality and data science platform teams in San Francisco. Ben studied machine learning with Michael Mozer at the University of Colorado at Boulder.
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