At The Data Incubator we run a free eight-week Data Science Fellowship Program to help our Fellows land industry jobs. We love Fellows with diverse academic backgrounds that go beyond what companies traditionally think of when hiring Data Scientists. Michael was a Fellow in our Winter 2016 cohort who landed a job with one of our hiring partners, Schireson Associates
Tell us about your background. How did it set you up to be a great Data Scientist?
Toward the third year of my PhD I got really interested in machine learning. I started using scikit-learn to predict different aspects of simulations I worked on. These projects became a large part of my thesis and contributed to choosing The Data Incubator as a next step in my career.
What do you think you got out of The Data Incubator?
What advice would you give to someone who is applying for The Data Incubator, particularly someone with your background?
Finally, I can’t really emphasize enough how using the right libraries can be a huge time saver and productivity booster. Using a language like Python with a simple package management system made data science way more fun for me. Seriously, don’t try to use C for this stuff, it’ll take forever. Actually, go ahead and try it, what doesn’t kill you makes you stronger.
What is your favorite thing you learned at The Data Incubator?
Could you tell us about your Data Incubator Capstone project?
And lastly, tell us about your new job!
Visit our website to learn more about our offerings:
- Data Science Fellowship – a free, full-time, eight-week bootcamp program for PhD and master’s graduates looking to get hired as professional Data Scientists in New York City, Washington DC, San Francisco, and Boston.
- Hiring Data Scientists
- Corporate data science training
- Online data science courses: introductory part-time bootcamps – taught by our expert Data Scientists in residence, and based on our Fellowship curriculum – for busy professionals to boost their data science skills in their spare time.