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Figure 3. Data Science Roles across Organizational Levels

Data Science Job Roles Across Organizational Levels

Data scientists work at all levels of the organization. Our survey of data professionals revealed that Director-level data scientists have the highest level of proficiency across many data science skills and work with more of their peers compared to data scientists who are Individual Contributors, Managers or even Executives. Satisfaction with outcome of analytics projects did […]

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InterConnectbythenumbers[1]

How IBM is Transforming Data Science

I am at the IBM InterConnect 2016 event in Las Vegas. While this event, IBM’s largest (estimated 24,000 attendees!), is billed as a cloud and mobile conference, sessions focused on a variety of related solutions around analytics, security, DevOps (which I learned is a methodology) and Watson Internet of Things. I was invited by IBM as […]

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analyzingtheanalyzersdatasize

For Data Scientists, Big Data is not so Big

In our study of data scientists, we found that only about a third of them possessed skills needed to handle big and distributed data. These results are in line with findings from other studies that find that data scientists typically analyze small data sets. We examined the proficiency of data scientists across 25 different data science skills. […]

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Figure 1. Relationship between Proficiency in Data Mining and Visualization Tools and Project Outcomes

The Most Important Skill in Data Science: Mining and Visualizing your Data

While data scientists have many resources in their tool belt, our research shows that proficiency with data mining and visualization tools consistently ranks as one of the most important skills in determining project success. We used two methods to rank data science skills. The first way was based on the frequency with which professionals possessed the skills. This method identified data […]

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