With more and more data available and generated every day, uncovering patterns and drawing informed insights from it to solve complex problems are skills that data scientists need to acquire. Although they are formal and nonformal routes to have a data science career, there are a few things you need to do on top of it to be successful. On my transition from Academia to the Industry, from a Mathematics professor to a Lead Data Scientist, I have assembled a set of steps to accomplish this goal for individuals with a mathematical background like me or without any prior experience in this field of study.
Here I will talk about those extra steps that are needed to flourish in a new position ranging from working on mentored data science projects with Industry mentors, networking through LinkedIn, Meetup, and other applications as well as volunteering with different organizations.
Learn the steps needed to flourish in a new position:
– Working on mentored data science projects with industry mentors
– Networking through LinkedIn, Meetup, and other applications
– Volunteering with different organizations
Table of Content:
00:00 Introduction
02:24 Working in Academia
11:54 Hunting for Data Science Positions
24:04 Becoming a Data Scientist
32:18 Lessons
40:17 Q/A
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