Jerome -- thanks for the intro!
Hi Matthew and Aleksandra,
I'm the Director of Product at Insight Data Science. We've been around for 3 years and have help over 250 alumni transition from academia to full-time roles in data science. We have had 5 Fellows who have gone through the program from UCSF, including
Jerome and Monica Hsu, who now have data science or data engineering roles at IBM, Intuit, Counsyl, and Athos.
We'd love to help more UCSF alumni make that transition. Would you be willing to spread the word by forwarding the announcement below to your various email lists?
Let me know if there are any questions you have or if there's anything we can do to help.
Best,
John
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Insight Data Science Fellows Program
Now accepting applications for the September 2015 sessions in New York City and Silicon Valley - application deadline:
June 29.
Top companies are hiring data scientists to help them glean insights from the terabytes of data that they collect every day. The
Insight Data Science Fellows Program
is a training fellowship for graduate students and postdocs
designed to bridge the gap between academia and a career in data science.
Insight program overview:
*
7 week, full-time, tuition-free
postdoctoral data science training fellowship. Need-based scholarships available to help cover living costs.
*
Dedicated office space; self-directed, project-based learning under the guidance of top industry data scientists.
* 250+ Insight alumni
are now data scientists at Facebook, LinkedIn, Airbnb, Apple, Netflix, Twitter, Uber,
etc.
in Silicon Valley, and
New York Times, Memorial Sloan Kettering Cancer Center, Wall Street Journal, Bloomberg, NBC, ZocDoc,
Oscar Health,
etc. in New York City, and 100+ other top companies.
The application deadline for the September 2015 session of Insight is
Monday, June 29.
For more information and to apply, please visit:
Applications are also open for our Data Engineering programs in New York City and Silicon Valley. If you are more interested
in Data Engineering, please check out our Insight Data Engineering website.
====================
