All posts categorized in: Data Science

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Normalized Entropy or Apply Rate? Evaluation Metrics for Online Modeling Experiments

Introduction At Indeed, our mission is to help people get jobs. We connect job seekers with their next career opportunities and assist employers in finding the ideal candidates. This makes matching a fundamental problem in the products we develop.  The Ranking Models team is responsible for building Machine Learning models that drive matching between job […]

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Want to Code as an Engineering Manager? Time to Find a Unicorn

Coding as an engineering manager is an exercise in cognitive dissonance. If you’ve just become a manager, you’ve likely been measuring success by the quantity and quality of the code you ship as an individual contributor (IC). Suddenly, you have new metrics for success and your day-to-day work looks wildly different. One mentor tells you […]

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D-Curve: An Improved Method for Defining Non-Contractual Churn with Type I and Type II Errors

Businesses need to know when customers end their business relationships, an act called “churn.” In a subscription business model, a customer churns by actively canceling their contract. The company can therefore detect and record this churn with absolute certainty. But when no explicit contract exists, churn is more passive and difficult to detect. Without any […]

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