Careers in Data Science and Data Engineering/Insight -presentation Jan.30

[Dana Bresee Keeth]

Forwarded notice:
Careers in Data Science and Data Engineering
Wednesday, January 30, 6:00 - 7:00pm
Location: 32-141
Sponsored by: Graduate Student Council
Attached is the event flyer for your reference

Program Directors from the Insight Data Science Fellows Program will be leading a discussion on
careers in data science, health data science, and data engineering. Scientists and engineers from
diverse fields, including physics, astronomy, computational biology, neuroscience, math, statistics,
chemical engineering and computer science, are playing key roles in transforming the way
companies and public institutions work with data to impact our daily lives.

The Insight Data Science Fellows Program is an intensive, seven-week postdoctoral training
fellowship that bridges the gap between academic research and a career in data science by matching
Fellows with opportunities at Insight's partner companies. With offices in Silicon Valley, Boston, New
York, Seattle, and Toronto, the program enables scientists to learn the industry-specific skills through
a project-based, industry-driven learning approach designed to train academics in many of the
cutting edge data science tools and practices used in industry. There are now over 2,000 Insight
Fellows working as data scientists and data engineers on top data-driven teams including Facebook,
the New York Times, Netflix, Twitter, Bloomberg, Apple, LinkedIn, Memorial Sloan Kettering Cancer
Center, Wayfair, McKinsey, Boston Consulting Group, and CVS Health, as well as at various wellfunded
startups.

This event will: (1) provide a high-level overview of data science in the technology industry and (2)
describe the Insight Fellows Program. The session will include time for Q&A, as well as advice for
those interested in transitioning to careers in data science and data engineering. Learn more
at: insightdatascience.com and insightdataengineering.com.
****
[MIT Note- Insight Fellows Programs require a full time commitment for seven weeks.  Postdocs who are considering applying could pursue this after the conclusion of the MIT appointment or must consult with their PI about the possibility of taking a leave of absence from the Institute in order to participate; unfortunately, individuals who are in the US on a visa sponsored by MIT cannot take a leave of absence.   The program is also open to graduate students who are about to finish their PhDs.]

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Insight Data Science: Website<https://www.insightdatascience.com/?CS> | Blog<https://blog.insightdatascience.com/?CS>| Admissions FAQ<http://insightdatascience.com/faq?CS>
Insight Data Engineering: Website<https://www.insightdataengineering.com/?CS> | Blog<https://blog.insightdatascience.com/?CS> | Admissions FAQ<http://insightdataengineering.com/faq?CS>
Insight Health Data Science: Website<https://www.insighthealthdata.com/?CS> | Blog<https://blog.insightdatascience.com/?CS> | Admissions FAQ<http://insighthealthdata.com/faq?CS>
Insight Artificial Intelligence: Website <https://www.insightdata.ai/?CS> | Blog<https://blog.insightdatascience.com/tagged/insight-ai?CS> | Admissions FAQ<http://insightdata.ai/faq?CS>
Insight Data PM: Website<https://www.insightdatapm.com/?CS> | Blog<https://blog.insightdatascience.com/tagged/insight-data-pm?CS> | Admissions FAQ<https://www.insightdatapm.com/faq?CS>
Insight DevOps: Website<https://www.insightdevops.com/?CS> | Blog<https://blog.insightdatascience.com/tagged/insight-devops?CS> | Admissions FAQ<https://www.insightdevops.com/faq?CS>
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