Based on extensive research and analytical evaluations, in today's episode Marck Vaisman details all the skills that are essential for today's data professional.
Marck:
• Has been at Microsoft for seven years; for 5+ years, he’s been a Senior Cloud Solutions Architect, specializing in data, data science and AI/ML.
• For nearly a decade he’s also been an adjunct professor at both Georgetown University and The George Washington University, teaching graduate-level courses on math, stats, analytics and decision sciences.
• Co-Founded a non-profit in Washington, DC that runs both the Data Science DC and Statistical Programming DC Meetups.
• Holds a Bachelor's in Mechanical Engineering from Boston University and an MBA from Vanderbilt University.
Today’s episode will be of interest to anyone who is, manages, or aspires to be a data professional.
In today’s episode, Marck details:
• The skills, competencies and personas that data scientists and related professionals (such as analysts, data engineers, ML engineers and A.I. engineers) can have.
• The academic research on why “data scientist” is such a difficult job title to define.
• A comprehensive characterization of the essential skills that every data professional needs to be effective and the skills that allow you to specialize as a particular subtype of data scientist.
• The implications of all of this for both folks hunting for a data role and the companies that are looking to hire them.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.