10 Best Data Science Startups to Work for in 2020
Discover the best data science startups to work for in 2020... or read the full article: http://bit.ly/38y6GN6
Before you start sending out your resume to Bain and McKinsey, consider our list of the Best Data Science Startups to Work For in 2020!
Why work for a data science startup?
Sure, big data science consultancies have the stability and the benefits every aspiring data scientist strives for. However, you may find yourself working on predictable and often repetitive tasks with little opportunities for growth. At least for the first few years.
Startups, on the other hand, allow you to develop your skillset by trying new things and handling a variety of challenges. Responsibilities there change quite frequently. So, within less than a year you could be doing something entirely different… And a lot more interesting for you than what you were initially hired for. In other words, the sky is the limit!
We based our research on insight from KDnuggets, LinkedIn, and Forbes to discover the best startups to watch in 2019. Then we picked our top 10 – the fastest growing machine learning and tech startup companies that give you both development opportunities, and a chance to work on inspiring projects.
So... watch our data science startups review to learn what they do, where to apply, and why you should consider working there. And don’t mind the order – these startups are so unique, that every single one of them could easily be number 1 on our list.
Enjoy watching!
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Prepare yourself for a career in data science with our comprehensive program:
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Get in touch about the training at:
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#DataScience #Startups #Work #Career #Job
Discover the best data science startups to work for in 2020… or read the full article: http://bit.ly/38y6GN6
Before you start sending out your resume to Bain and McKinsey, consider our list of the Best Data Science Startups to Work For in 2020!
Why work for a data science startup?
Sure, big data science consultancies have the stability and the benefits every aspiring data scientist strives for. However, you may find yourself working on predictable and often repetitive tasks with little opportunities for growth. At least for the first few years.
Startups, on the other hand, allow you to develop your skillset by trying new things and handling a variety of challenges. Responsibilities there change quite frequently. So, within less than a year you could be doing something entirely different… And a lot more interesting for you than what you were initially hired for. In other words, the sky is the limit!
We based our research on insight from KDnuggets, LinkedIn, and Forbes to discover the best startups to watch in 2019. Then we picked our top 10 – the fastest growing machine learning and tech startup companies that give you both development opportunities, and a chance to work on inspiring projects.
So… watch our data science startups review to learn what they do, where to apply, and why you should consider working there. And don’t mind the order – these startups are so unique, that every single one of them could easily be number 1 on our list.
Enjoy watching!
***
LINK TO OUR ULTIMATE GUIDE TO STARTING A CAREER IN DATA SCIENCE
http://bit.ly/333teEi
Follow us on YouTube:
https://www.youtube.com/c/365DataScience
Connect with us on our social media platforms:
Website: http://bit.ly/33cwai8
Facebook: https://www.facebook.com/365datascience
Instagram: https://www.instagram.com/365datascience
Q&A Hub: https://365datascience.com/qa-hub/
LinkedIn: https://www.linkedin.com/company/365d…
Prepare yourself for a career in data science with our comprehensive program:
http://bit.ly/2TEjBss
Get in touch about the training at:
support@365datascience.com
Comment, like, share, and subscribe! We will be happy to hear from you and will get back to you!
#DataScience #Startups #Work #Career #Job
