Bootcamp graduate Kimberley Mitchell, now a Data Analyst at Newsela, always had a significant interest in one crucial pillar of data science – statistics. This propelled her toward degrees in industrial engineering and economics, and into a career that has clear a delineation between before and after the birth of the mainstream internet. She worked as a Quality Engineer for AT&T and as a Statistician for Universal Instruments, among other roles, before the web took off and she wanted to take off with it.
For Emily Hough-Kovacs, it’s not just about the final product when it comes to music. It’s about the intricacies of production, the record label, and the entire creative and business process. Now a Data Scientist at music streaming giant Spotify, she works on the Creator Products Insights Team.
This post was written by Sameh Saleh, Metis Data Science Bootcamp graduate and current Resident Physician in Internal Medicine at UT Southwestern Medical Center. He shares his story with the hope to inspire other clinicians-in-training to seriously consider the value of a data science education in their lifelong medical endeavors.
Before he’d even heard of data science, Andy Sherman-Ash was employing the powers of artificial intelligence in his career as a professional poker player. He taught himself how to code by crafting a neural network-based poker AI that used the machine learning software Weka.
The road to a career in data science is often unpaved and unpredictable. For Metis alumna Jessica Cox, it started with a bachelor’s degree in biochemistry and led to her current role as Data Scientist at Elsevier Labs, a scientific publishing company. During her undergraduate studies, she realized how much she adored research. She followed that passion through to a Ph.D. in Biomedical Science, focused on environmental health and nutrition research. That’s when another life-changing realization hit her: she loved data.
A percentage of people have jobs they enjoy and find fulfilling, but how many can truly say they’ve landed the job that suits them best? Chicago native Michael Lai is a lifelong basketball fan (he grew up adoring the Michael Jordan-led Bulls) with a passion for programming, data, and analytics. He recently got a job as a Data Scientist for the Philadelphia 76ers and considers working for an NBA organization a dream come true.
This past Fall, Metis Senior Data Scientist Julia Lintern spearheaded an effort to revamp aspects of Metis’s Data Science Bootcamp curriculum in terms of both content and content delivery, which marked the first major curriculum overhaul in its 2.5-year history. This blog post is structured as some history/background on the contents of the Metis curriculum alongside an interview with Julia about the changes made.
As a Neural Engineering Ph. D candidate, Michael Palazzolo designed a virtual reality video game for primates. The data he collected was used to construct statistical models that charted the relationship between arm movement and vision to brain activity. While he enjoyed the interesting work – especially the parts that involved modeling and programming – at some point, it became evident that a career in academia wasn’t his desired path. He began seekings ways to fuse his academic expertise and experience with other desired skills.
So you've decided to take a huge step toward the career of your dreams and join a Data Science Bootcamp. Now is the time to start differentiating yourself for future employers. How can you do that? By focusing your upcoming data science projects on the one reason you enrolled in this program in the first place (getting a data science job!).
Metis graduate Devin Wieker is now a Data Scientist at Facebook’s Bay Area headquarters, where he’s focused specifically on Messenger growth and where he soaks in the highly technical work and environment.