Data scientists have become increasingly invaluable to senior executives around the world, helping to inform decision-making processes as they seek to increase operational efficiency, improve impact analyses, reduce cost and improve forecasting. Successful data scientists work with business leaders to understand the challenges, define analytic solutions and analyze data to uncover innovations and insights. Organizations that want to build or expand a data sciences team in today’s environment, where qualified candidates are in short supply, need to understand how to proceed intelligently. This report provides expert advice on how to build a strong team with relevant experience, a solid academic foundation, varied backgrounds and skills, and an ability to envision and work toward outcomes.

 

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Study highlights

Good data scientists apply an art and a science to deliver the insights required to solve organizations' biggest challenges. ibm.biz/artofdata

Data scientists are in high demand, and competition is fierce for the relatively small number of qualified candidates. ibm.biz/artofdata

Data scientists are well compensated professionals, and they are expensive to hire and costly to maintain. ibm.biz/artofdata

Five key traits of the successful data scientist: Keen business acumen, 21st century data management skills, Deep analytics knowledge, Visionary with storytelling skills, Advanced software knowledge. ibm.biz/artofdata

About the authors

Mark Grabau

Mark Grabau
Chief Data Scientist
IBM North American Financial Services Sector

Dr. Emily Plachy

Dr. Emily Plachy
Distinguished Engineer
IBM Chief Data Office

Dr. Michael Haydock

Dr. Michael Haydock
IBM Fellow and Chief Scientist
IBM Watson Analytics Services

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