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: Stakeholders might get disillusioned by your team’s inability to deliver magic The battle to recruit and retain data science talent is fierce Data science’s ethical dilemmas are particularly perplexing There is not […]
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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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Many data science teams now have at least some team members working remote. However, many managers are not used to having team members work remote and so, are not aware of the challenges that need to be considered. With a well defined process, and a focus on 5 keys actions described […]
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The demands for data science insights and systems far outstrip the capacity for data science teams to deliver. How do you best balance this? Enter the Data Science Product Manager. Unlike more tactical roles like the project manager who oversees the project life cycle or a process master who drives […]
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