The Essential Competencies of Data Scientists: A Framework for Hiring and Training

Data science has emerged as a critical field for organizations seeking to harness the power of big data to inform strategic decisions and gain a competitive edge. However, the demand for data scientists far exceeds the currently available pool of qualified candidates, making it a significant challenge for organizations to hire and train the right talent. The discipline of data science is inherently multi-faceted, requiring a diverse set of technical and non-technical skills that can be rare to find in individuals or teams. In response to this challenge, our study has developed a comprehensive framework, drawing insights from extensive literature, identifying and underscoring the enduring relevance of 130 distinct competencies for the future data scientist. This framework stands out for its depth and breadth, offering a more holistic perspective than existing models found in the literature. By embracing this framework, organizations can craft more effective recruitment strategies, enhance the professional growth of their data science teams, and ultimately strengthen their capacity to leverage data for making informed and strategic decisions.