Most people will 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.
Interviewing hundreds of individuals of varying backgrounds requires a more efficient way of quantifying technical and cultural fit. This demand led to the creation of a deceptively simple data exercise, which reveals a surprising amount of information about interviewees. This test has been administered to dozens of candidates of varying experience levels and formal backgrounds. Data science is a highly integrated discipline. The variance in solutions provided by a physicist compared to a computer scientist is fascinating.
Tanya Cashorali digs deeper into these approaches and provides recommendations on how to administer and review test results for each type of candidate. You will 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 white-boarding interviews, and start hiring data scientists who will quickly provide business value.
Tanya Cashorali is the founding partner of TCB Analytics, a Boston-based data consultancy. Previously, she worked as a data scientist at Biogen. Tanya started her career in bioinformatics and has applied her experience to other data-rich verticals such as telecom, finance, and sports. She brings over 10 years of experience using R in data scientist roles as well as managing and training data analysts, and she’s helped grow a handful of Boston startups.
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