Machine Learning Engineer, Data Scientist – top emerging jobs in US

Recent LinkedIn Economic Graph report had good news for KDnuggets readers and for all Machine Learning and Data Science professionals: Machine Learning Engineer and Data Scientist were the top emerging jobs in the US in 2017. 

Fig. 1: Top 10 emerging jobs on LinkedIn and their growth from 2012 to 2017 

Among 20 fastest growing jobs, we have 4 relevant to KDnuggets readers:

• n. 1: Machine Learning Engineer, grew 9.8 times
• n. 2: Data Scientist, 6.5 times
• n. 5: Big Data Developer, 5.5 times,
• n. 8: Director of Data Science, 4.9 times

Comparing with Indeed Job Trends, we see that while both jobs grew, there are a lot more Data Scientist jobs than Machine Learning Engineers - Fig. 2. 

Fig. 2: Indeed.com job trends for Data Scientist, Machine Learning Engineer, 2014 to 2017 

LinkedIn also analyzed the career path of the top jobs and here are the 5 most common previous roles for Machine Learning Engineer

1. Software Engineer
2. Research Assistant
3. Teaching Assistant
4. Data Scientist
5. System Engineer

and Data Scientist

1. Research Assistant
2. Teaching Assistant
3. Software Engineer
4. Data Scientist
5. Business Analyst

We see that many of the people who took these roles were previously grad students (Research Assistant and Teaching Assistant titles). 

While Universities are producing graduates for Data Science/Machine Learning positions, as we can see from above career paths, the talent remains hard to find. 

LinkedIn reports that only 35,000 people in the US have data science skills, while hundreds of companies are hiring for those roles. 

Finally, if you are looking to hire Data Scientists and Machine Learning Engineer, consider posting a job ad on www.kdnuggets.com/jobs - for details see 

www.kdnuggets.com/jobs/details.html. 

Read the full post on KDnuggets:

Machine Learning Engineer, Data Scientist – top emerging jobs in US -

https://www.kdnuggets.com/2017/12/linkedin-machine-learning-data-scientist-top-jobs.html

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