When author Kate Strachnyi wanted to learn more about data science, she went straight to the source. In a series of more than twenty interviews, she asks leading data scientists questions about starting in the field and the future of the industry. Strachnyi’s interview subjects include team members from some of the world’s largest organizations, including LinkedIn, Pinterest, Bloomberg, and IBM.
In this interview with Data Scientist Mark Meloon, we turn the tables and I provide advice to “aspiring” Data Scientists on how to land that first job. It’s broker down into 10 Parts (by question.). Enjoy!
Watch a free webinar by Mark Meloon, an experienced Data Scientist who has first hand experience with the difficulties landing that first gig as a Data Scientist.
He has helped a lot of others navigate and position themselves to get in the door and start their lucrative careers. It worth listening to what he has to say. His advice is proven to work. He’s given talks a major bootcamps (e.g. Metis, Galvanize) and have made a name for himself advising “aspiring” data scientist.
In this free training will show you his proven step-by-step system for landing the job of your dreams, even if you don’t have prior experience or a Ph.D.!
Some Thoughts on Mid-Career Switching Into Data Science Posted by William Vorhies on October 3, 2017 at 7:06am View Blog Summary: If you are mid-career and thinking about switching into data science here are some things to think about in planning your journey. We get lots of inquiries from readers asking for career advice and many […]
Take a look! Here are our Top 10 New York-based Data Science roles @ our clients.
Our Clients are a set of fantastic companies with established data science teams providing an opportunity work on big challenges, make an impact, and grow. See More
The Data Incubator is an intensive 7 week bootcamp that prepares the best scientists and engineerings with advanced degrees to work as data scientists and quants. Read More
UPDATED: The Data Science Report has created a new section “PhD PREDICTION PROJECTS!” In this section we are going to profile interesting predictive analytics projects by “up and coming” PhD and Masters students/recent grads.
Our first project looks at Eric Chalmer’s computer model that uses Machine Learning to predict the outcome and how much to wager on MMA/UFC fights. While initially a hobby, his algo’s have performed remarkably well (total return of 160%+) during the first 10 months and we’re tracking his predictions here. Read More
Here is an updated list of the Data Science & “Big Data” Analytics roles we are working to fill on behalf of exciting clients doing ground breaking work. See a match? Read More
Hi All, here are some of the top roles in Data Science / Big Data / Analytics that we are working to fill on behalf of our clients.
Currently, we have about 90+ open roles that are all full-time perm, consultant and/or “right-to-hire”. If you are in the market please have a look. Read More
Watch 2 very popular videos from Google recruiters and engineers who advise on how to prepare for a technical interview. The tips apply to tech interviews at most competent firms. Watch Videos