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 manager. That is why many […]
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 […]
The following is an interview by Jeff Saltz with Jelle de Jong. Jelle, a certified DSPA Team Lead, is an independent consultant. He currently works with Lely, an agricultural business based in the Netherlands. Jeff: Can you provide some background on your consulting business? Jelle: I’ve been in the quantitative modeling industry for 15+ years. […]
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 […]
The following is an interview by Jeff Saltz with Hector Rangel. Hector, a certified DSPA Team Lead, is a Consultant and Data Science lead at Arena Analytics, a small consulting company located in Mexico. Jeff: Can you tell me a bit about yourself? Hector: I’m an industrial engineer and a business professional with 8 years of […]
The following is an interview by Jeff Saltz with Dr Thibaut Jombart (who is a certified DSPA Team Lead). Thibaut is an Associate Professor in Outbreak Analytics at the London School of Hygiene and Tropical / Imperial College London (LSHTM / ICL) He is also a Senior Data Scientist for the World Health Organization (WHO). […]
The importance of AI project management, or more specifically, managing AI projects, is highlighted by a survey showing that 85% of AI projects do not deliver on their promises to business. In other words, as noted by Forbes, most AI projects fail. An AI project is different than a typical software development project, and hence, […]
This post will explore managing analytics projects by focusing on three questions: What is the difference between a data scientist and a data analyst? What is the difference between analytics projects and data science projects? What project management / project coordination framework might be helpful to manage analytics projects? Project Management Training for Data Analytics […]
Machine Learning Project Management is of growing importance If you are leading machine learning projects, you have probably noticed (or soon will notice) that machine learning project management is of growing importance and that it would be extremely helpful to have a repeatable agile process framework that helps to ensure the team can generate useful […]
During the past few months, we conducted a poll to see what project management framework teams used to help execute their data science projects. Based on our survey of 109 respondents, nearly half of the respondents most commonly use CRISP-DM. This was followed by Scrum, Kanban and “My Own”. See results below. A quick review of the […]
