Data science for HR
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This document discusses various data science approaches that can be used in HR to improve the hiring process and evaluate employee performance. It mentions that structured interviews and tests are more valid predictors of job performance than unstructured interviews. It also discusses how Google, Facebook, Target, and HP use data-driven methods like search queries, social media profiles, purchase histories, and machine learning models to evaluate candidates and employees. The document advocates that intelligent systems powered by data can help HR managers in their daily work.
Data science for HR
- 1. Data Science on HR Service
- 2. Validity Unstructured interview – 0.31 Structured interview – 0.62 Ability tests – 0.54 Work sample test – 0.55
- 3. Google's Head of HR: It Doesn't Matter Where Candidates Went to College “We found that brainteasers are a complete waste of time,” said Bock. “How many golf balls can you fit into an airplane? How many gas stations in Manhattan? A complete waste of time. They don’t predict anything. They serve primarily to make the interviewer feel smart.”
- 4. Instead, Google uses search queries of their users to spot right candidates
- 5. Moneyball Oakland A's played as good as New York Yankees but Yankees were spending $1.4 million per game while A’s – only $260 000
- 6. Stanford researches show that Facebook profiles predicts job performance
- 7. Hewlett-Packard has “Flight Score” for each of 300 000 employees
- 8. Target knows you are expecting a baby before you tell anybody
- 9. Our models learn by themselves, all you need to do is to give them enough examples
- 10. Intelligent systems can really help HR managers in everyday work