This year, LinkedIn named data scientist specialists and artificial intelligence practitioners among the top jobs that enterprises sought to fill. The salary range for an artificial intelligence practitioner is $124,000 to $150,000. For a data scientist specialist, the salary range is $100,000 to $130,000. Compare this with the average U.S. salary for programmers, which is under $100,000.
If you’re working for a company, you want to make as much money as you can — but you also want to enjoy what you’re doing, and you want the self-confidence and assurance that you’re providing value in your job and that you yourself are valued.
Sometimes an IT professional can feel trapped in a job, with no way out for promotions or a higher salary. Software maintenance programmers often fit into this category. So do non-technical business analysts or IT support persons who have spent so much time managing databases, storage and the help desk that they are recognized as entrenched experts in these areas, which unfortunately can be a career dead-end in IT.
Is it time to try AI?
The requisite skills for a data scientist specialist are knowledge in data visualization, statistical modeling and open-source tools and libraries for machine learning and artificial intelligence. For artificial intelligence practitioners, the skill set is machine learning, C++, Python and cloud services such as Amazon Web Services.
Want to try AI? Consider the following first.
Learn AI job-seeking strategies
If you’re an IT employee who wants to transition to AI, what skills will you need and what strategies should you apply?
Continue reading: https://www.techrepublic.com/article/reskill-yourself-career-ai/
If you’re working for a company, you want to make as much money as you can — but you also want to enjoy what you’re doing, and you want the self-confidence and assurance that you’re providing value in your job and that you yourself are valued.
Sometimes an IT professional can feel trapped in a job, with no way out for promotions or a higher salary. Software maintenance programmers often fit into this category. So do non-technical business analysts or IT support persons who have spent so much time managing databases, storage and the help desk that they are recognized as entrenched experts in these areas, which unfortunately can be a career dead-end in IT.
Is it time to try AI?
The requisite skills for a data scientist specialist are knowledge in data visualization, statistical modeling and open-source tools and libraries for machine learning and artificial intelligence. For artificial intelligence practitioners, the skill set is machine learning, C++, Python and cloud services such as Amazon Web Services.
Want to try AI? Consider the following first.
Learn AI job-seeking strategies
If you’re an IT employee who wants to transition to AI, what skills will you need and what strategies should you apply?
Continue reading: https://www.techrepublic.com/article/reskill-yourself-career-ai/
