An often less talked about part of breaking into data is understanding how many different kinds of “data scientist” jobs there are and how that impacts the role, your potential fit, and of course what skills you need.
In this Breaking into Data session we sit down with April Guo, Data Scientist at IBM. She’ll discuss what it’s like to work as a data scientist in the consulting space and how that differs from working in-house at other companies.
In addition, she’ll cover her career journey from undergrad to Data Scientist at IBM and share tips and insights on the job search process, interviewing, and what skills she thinks are most important.