Team

6 Actions to Be a Better Data Science Manager

Posted on

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!  In short, data science projects often have a high degree of uncertainty with respect […]

Team

Data Science Management: 5 Key Concepts

Posted on

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 naturally be a good data […]

Team

How to Lead Data Science Teams

Posted on
leading data science teams

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 an agreed-upon process for managing […]

Team

CRISP-DM for Data Science Teams: 5 Actions to Consider

Posted on

While there is no standard process for a team to use when working on a data science project, CRISP-DM (CRoss-Industry Standard Process for Data Mining) is one framework that is often considered for data science projects. Perhaps because of this, there are lots of web sites describing the 6 phases of a CRISP-DM project, and […]

Team

The Data Science Product Manager

Posted on
Product Manager

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 effective processes, the data science […]

Team

8 Key Data Science Team Roles

Posted on

Based on my personal experience, below are the 8 key data science team roles to think about when building and leading a data science team. These are not in any specific order, as their importance might vary from one project to another, or from one organization to another. Furthermore, not all roles are required to […]

Team

Data Science Team Structure

Posted on
Centralized vs Decentralized Teams

Should you have a centralized data science team or several decentralized teams? There are numerous options for a data science team structure in mid- to large-sized organizations. Yet, many organizations struggle to decide among having: A single centralized data science team (also known as “data science center of excellence” or as an “enterprise” or “shared […]

Agile

5 Agile Data Science Myths

Posted on
Agile data science myths

One of the most common questions of data science project management is some variation of: “Is agile a fit for data science?” Unfortunately – like a lot of questions in data science – this question itself is often misunderstood. Many (if not most) blog posts, on-line forums, and conversations debate this question by evaluating specific […]