Most people agree that interviewing is one of the most difficult and least enjoyable professional activities. Given the recent demand for data analytics and data science skills, it has become an increasingly daunting task for managers to adequately test and qualify candidates.
Tanya Cashorali digs deeper into these approaches and provides recommendations on how to administer and review test results for each type of candidate. You’ll receive a link to the publicly available dataset, the test questions, and the scoring rubric and learn how to save time vetting candidates, move away from unrealistic whiteboarding interviews, and start hiring data scientists who will quickly provide business value.
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