Reader small image

You're reading from  Cracking the Data Science Interview

Product typeBook
Published inFeb 2024
PublisherPackt
ISBN-139781805120506
Edition1st Edition
Concepts
Right arrow
Authors (2):
Leondra R. Gonzalez
Leondra R. Gonzalez
author image
Leondra R. Gonzalez

Leondra R. Gonzalez is a data scientist at Microsoft and Chief Data Officer for tech startup CulTRUE, with 10 years of experience in tech, entertainment, and advertising. During her academic career, she has completed educational opportunities with Google, Amazon, NBC, and AT&T.
Read more about Leondra R. Gonzalez

Aaren Stubberfield
Aaren Stubberfield
author image
Aaren Stubberfield

Aaren Stubberfield is a senior data scientist for Microsoft's digital advertising business and the author of three popular courses on Datacamp. He graduated with an MS in Predictive Analytics and has over 10 years of experience in various data science and analytical roles focused on finding insights for business-related questions.
Read more about Aaren Stubberfield

View More author details
Right arrow

Reviewing career paths in data science

The field of data science is rapidly evolving, drawing professionals from various backgrounds and disciplines. This dynamic landscape has given rise to a multitude of career paths in data science, each bringing their unique perspectives, skills, and experiences to the table. In this section, we will explore three primary types of data scientists: the traditionalist, the domain expert, and the off-the-beaten path-er. Does one of these career paths best fit you?

The traditionalist

The traditionalist data scientist has followed a more conventional educational path toward data science. They typically possess a strong background in computer science or mathematics, often with a minor in the other. Other common majors include operations research, statistics, physics, and engineering. These individuals often go on to earn an advanced degree in these fields, including a master’s degree or even a Ph.D. Their rigorous academic training equips...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Cracking the Data Science Interview
Published in: Feb 2024Publisher: PacktISBN-13: 9781805120506

Authors (2)

author image
Leondra R. Gonzalez

Leondra R. Gonzalez is a data scientist at Microsoft and Chief Data Officer for tech startup CulTRUE, with 10 years of experience in tech, entertainment, and advertising. During her academic career, she has completed educational opportunities with Google, Amazon, NBC, and AT&T.
Read more about Leondra R. Gonzalez

author image
Aaren Stubberfield

Aaren Stubberfield is a senior data scientist for Microsoft's digital advertising business and the author of three popular courses on Datacamp. He graduated with an MS in Predictive Analytics and has over 10 years of experience in various data science and analytical roles focused on finding insights for business-related questions.
Read more about Aaren Stubberfield