How to Hire ‘Trilingual’ Data Science Talent

Much has been written about the limitations of data silos. Less frequently discussed are the limitations that attend siloed data skills or knowledge. Some data scientists, for example, have the expected deep understanding of data, but lack the knowledge of business applications that would enable the data to have the optimal impact. Health Care Service Corporation (HCSC) approaches data talent acquisition in a cross-disciplinary way – the company hires data scientists from both within and outside the industry, across seven different business lines. In the last three years, HCSC has hired more than 70 data scientists, including a combination of Ph.D.s, statisticians, and actuaries with experience within and outside of the healthcare industry. In addition, the company trains data scientists using a “trilingual” model, enabling them to better understand the…

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