Gone are the days of a “lone wolf” data scientist filling all the roles in data science. Rather, today’s teams have several different data science roles, each of which executes various functions across the data science life cycle. Each team setup is different, often consisting of several different data science […]
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Do data science teams use (or think they use) an agile data science team process framework? To help find out, my student (Sucheta Lahiri) recently presented an academic paper that reported on data science agility across 16 organizations. The key takeaway was that even if your team thinks you are […]
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Machine learning predictive models are often used in data science projects. These models often deliver significant value. Examples of these AI models range from identifying skin cancer to optimizing when to milk cows. Unfortunately, there are many examples of AI (machine learning algorithms) not working as desired. For example, a […]
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Data science is an exciting field that can impact nearly all industries and many facets of daily life. Yet in practice, outcomes often don’t live up to expectations. Why not? A major reason is that organizations struggle to apply effective project management practices to data science. To overcome these challenges, […]
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Do you need a data science management recruiter? In this post, I’ll explore how to hire a data science manager and if using a data science manager recruiter (or executive search firm) would be helpful. As you likely already know, it can be very challenging to hire a data science […]
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Are you a new data science manager? Or a data scientist who wants to become a data science manager? Or, perhaps, a manager who wants to start managing data science teams?
If so, welcome to the world of data science management…
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The rapid increase in the number of data science projects and teams is driving an increasing need for data science management. To address this gap, it is tempting to think that any project manager (from a different field) could do the job. Or that a good senior data scientist would […]
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Often, we get asked: “What’s the difference between the data analyst vs data scientist role”? Indeed, the roles have similar responsibilities. Data analysts and scientists have many overlapping skills. But there are distinct differences. And each plays a key role in the data science team. Jeff tackled some of these […]
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It’s an understatement that great leadership is challenging and rare. And leading data science teams has unique challenges: While this topic might seem most relevant to management and executives, remember that leadership is not a title. Rather, I encourage everyone reading this post to assess these points and to upskill […]
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Data Science vs Software Engineering isn’t really a battle. Rather these are two somewhat overlapping and complementary fields that are similar in many ways. Data science intersects various domains However, dig deeper in the discussion of data science vs software engineering, and you’ll find key differences in the two fields: […]
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