How to Ace the In-Person Data Science Interview
Career Insightsposted by Kristen Kehrer June 14, 2018
I’ve written previously about my recent data science job hunt, but this article is solely devoted to the in-person interview. That full-day, try to razzle-dazzle em’, cross your fingers and hope you’re well prepared for what gets thrown at you. After attending a ton of these interviews, I’ve found... Read more
Drew Conway, PhD, Founder and CEO at Alluvium, Cofounder of DataKind discusses best practices for building strong data science teams at ODSC East 2018
Career InsightsConferencesposted by Alex Amari May 16, 2018
Key Points: Hiring managers and business leaders often overestimate data scientists’ capabilities, resulting in inefficiencies in the hiring process and poor performance from data science teams The pre-interview process is crucial. It should involve thoughtful contemplation about the role and why it’s needed, and effective phone screens to ensure... Read more
Getting Your First Job in Data Science
Career Insightsposted by Springboard April 24, 2018
Sponsored Post from Our Partners at Springboard. Getting your first data science job might be challenging, but it’s possible to achieve this goal with the right resources. Before jumping into a data science career, these are questions you should be able to answer: how do you break into the... Read more
4 Unexpected Ways Data Science Makes Life Easier
Career Insightsposted by Megan Elizabeth Shulby, ODSC April 17, 2018
Countless newspapers, periodicals and platforms have stated that the data scientists is the sexiest job... Read more
3 Top Tips for a Data Science Career Fair to Keep in Mind
Career Insightsposted by ODSC Team April 4, 2018
Spring is one of the hottest seasons for hiring. University students prepare to graduate. Companies organize budgets and projects for the rest of the year. Conferences and meet-ups pull together networking capabilities for these two different groups to connect. For job seekers in growing fields like data science and... Read more
How a Start in Reality Television Showed Me Success in Data Science
Career InsightsBusiness|Data Science Careers|Data Science Jobs|Non-Technical|Tutorialposted by Megan Elizabeth Shulby, ODSC March 28, 2018
Fun trivia fact: I have a background in reality television. No, I wasn’t on camera, but I was one of the guys behind the scenes making sure all the magic happened. Somehow, now I am immersed in the data science and technology space. I’ve had people ask me, “How... Read more
ODSC Call for Bloggers
Career Insightsposted by ODSC Team March 22, 2018
We Want to Hear Your Voice and Perspective! Are you passionate about topics ranging from artificial intelligence to technology in business to open source programming languages and beyond? Do you enjoy sharing your expertise, research, insights and stories that can help the open data science community at large? If... Read more
Stats to Look Forward to at ODSC East 2018
Career InsightsData analysis|Data Science Jobs|ODSC East 2018posted by Open Data Science March 19, 2018
Want to learn more about data science? Want to update yourself on the latest research and trends in the space? If you want to do this, think about attending a data science event like a meet-up or a conference in the near future. You don’t have to go to... Read more
How to Get a Start with a Career in Data Science
Career InsightsData analysis|Data Science|Data Science Jobs|Learning data science|ODSC East 2018|Open Data Scienceposted by Diego Arenas, ODSC March 13, 2018
“The difference between the most dissimilar characters, between a philosopher and a common street porter, for example, seems to arise not so much from nature, as from habit, custom, and education.” – Adam Smith, An Inquiry into the Nature and Causes of the Wealth of Nations In this compelling Adam... Read more
Tendencies of Data Engineers and Scientists
Career Insightsposted by Will McGinnis January 14, 2018
A long time ago I wrote a short post on the differences between data engineers and data scientists. My reasoning back then was that a data engineer is someone who applies engineering methodologies to data problems, while a data scientist is someone who applies the scientific method to data problems.... Read more
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