Data scientists
Well, I got news for you, pigeons are smarter than artificial intelligence (AI) algorithms. So why bother becoming a data scientist and applying AI and machine learning algorithms? Because demand is high, unless pigeons take over.
(Picture: Courtesy of RAKUTEN)
They try to make sense out of the soup (source). From big data interpretations (what does that mean?), to language recognition, cancer research, image classification, credit analysis, emerging trend analysis to paranoids monitoring. Anything that can be solved with statistics, visualizations, machine learning and AI applications.
The table below lists some of the data scientist salaries, KDNuggets has a more realistic breakdown according to cost of living, location and experience, see salaries by location.
| Job Title | Salary |
|---|---|
| Facebook Data Scientist | $135,098 |
| Twitter Data Scientist | $134,861 |
| Microsoft Data Scientist | $117,846 |
| Airbnb Data Scientist | $119,110 |
Source: Google
They actually work everywhere, insurers, banks, software companies (Yahoo, IBM), 6 people at the government, universities, start-ups. Plus in case you did not receive the memo also for TensorFlow. Below are a few random examples of some of the largest employers of AI and ML artists.
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Google AI jobs - Artificial Intelligence and ML careers at Alphabet
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Microsoft ML jobs - ML careers at Microsoft (no worries its not 500 open ML jobs just a bad search engine)
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Apple ML jobs - machine learning jobs at Apple
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Lockheed Martin Data Scientist Jobs - data scientist jobs at Lockheed Martin
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USA Gov - data science and machine learning jobs.
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Yahoo ML jobs - machine learning jobs at Yahoo
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IBM Machine Learning jobs - external job website from IBM
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OpenAI jobs - Open AI is a company with a vision and with $1,000,000,000 venture capital to burn (non-profit) and demand of 1000 AI experts ($100,000 per annum x 1000 positions x 10 years = $1,000,000,000)
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Rakuten - Data scientist at RAKUTEN in Japan, much fun!
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Baidu - ML artists at Baidu
- How to become a data scientist? - An interesting article hosted at KDNuggets
- One year as data scientist - Blog post and personal experience from David Robinson at StackOverFlow (Stack Exchange Inc.)