Is Data Science and Artificial Intelligence in Demand in the USA?
The United States is the world’s largest technology market, accounting for 31% of the total, or $1.6 trillion in 2019. The IT sector in the United States, as well as many other countries, accounts for a considerable amount of economic activity.
The rise of the remainder, as Steve Case termed it, is helping to transform America’s economy by generating job and business opportunities that were previously exclusively available in centralised coastal locales. The growth of non-traditional tech hubs like Wilmington, Delaware, Columbus, Ohio, and Portland, Oregon, which were once tiny, industrial communities, demonstrates the essential role technology plays in pushing dramatic change in traditional enterprises across all industries. The successful restoration of these communities offers a glimpse into the key dynamics affecting America’s economy now, as well as a glimpse into what the country’s future cities will look like.
Cities like San Francisco, New York, and Seattle, where the world’s largest tech businesses are situated, have long dominated the American tech industry. Cities around the United States have emerged as prospective centres for the development and growth of digital enterprises in recent years, as technology and connectivity have been interwoven in every aspect of society.
According to Forrester.com’s prior report on the US tech sector, the US tech budget will expand by 6% in 2021 and 6.8% in 2022. We now expect US tech budgets to grow by 7.4% in 2021 and 6.7 percent in 2022, according to our recent research, US Tech Market Outlook By Category For 2021 And 2022.
Data science has the potential to revolutionise industries and society. Raw data is given meaning by data science, which transforms information into actionable insights that may be used to expand a business and spot market trends. Data science is the key to making information actionable by predicting behaviours and inferring meaning from large amounts of data in a meaningful way. Data science is assisting businesses in maximising innovation by helping them locate the ideal customers and charge the right pricing, as well as effectively allocating expenditures and eliminating work-in-progress and inventory.
What are the popular Data Science career paths?
Employer demand for both data scientists and data engineers is expected to climb by 39%, according to an IBM analysis. In truth, there is a severe scarcity of developers in the workplace. Not to mention that there is a huge demand for machine learning courses as a result of this. Some of the most frequent data science job roles include data scientist, data analyst, data engineer, machine learning engineer, research scientist, business intelligence developer, data architect, statistician, and big data engineer.
What is the data scientist’s salary in the USA?
It’s no surprise, then, that this subject of study is swiftly becoming one of the most in-demand in the market, with large organisations and small enterprises all over the world looking for their own data scientists. Even better, it’s a well-paying job with plenty of room for advancement.
The data from payscale.com states the average annual data scientist salary in the US to be $97,254. Indeed.com discloses the average salary for a data scientist in the USA to be $108,761 per annum. The glassdoor.com reports a data scientist’s salary in the United States as $1,17,212 a year. Salaryexplorer.com framed the annual salary for a data scientist in the US to be $135,537 USD with the average salary ranging from $120,755 to $149,369 a year.
Washington, DC, is attracting greater attention from some of the biggest names in technology, which might turn it into a major tech hub in the coming years. According to a recent CBRE assessment, the city is ranked third in the country for its capacity to attract and cultivate tech talent, making it a strong contender to become the country’s premier innovation hub — and one that is dominated by women.
The salary for a data scientist in Washington DC is $1,09,257 per annum. (Glassdoor.com) Indeed.com discloses the average data scientist salary in Washington DC as $119,110 USD a year. According to salary.com, the base salary for Data Scientist I ranges from $73,099 to $87,588 with the average base salary of $81,045.
According to Glassdoor,
- The average salary for a data scientist in Boston is $1,54,707 per year.
- The average salary for a data scientist in Charlotte is $1,03,621 per year.
- The average salary for a data scientist in Chicago is $1,37,971 per year.
- The average salary for a data scientist in Dallas is $1,03,001 per year.
- The average salary for a data scientist in Denver is $1,17,890 per year.
- The average salary for a data scientist in Houston is $1,06,276 per year.
- The average salary for a data scientist in Los Angeles is $1,15,395 per year.
- The average salary for a data scientist in Miami is $1,03,142 per year.
- The average salary for a data scientist in Seattle is $1,27,759 per year.
- The average salary for a data scientist in Orlando is $98,753 per year.
- The average salary for a data scientist in NYC is $1,16,467 per year.
Is there a growing demand for data scientists in the US?
According to the US Bureau of Labor Statistics, demand for experienced and informed data scientists will increase by 27.9% by 2026, resulting in an increase in employment of 27.9%. This enormous demand, however, has resulted in a considerable scarcity of skilled specialists.
Are you interested in pursuing a career in data science?
DataMites is a leading Institute for Data Science Training in USA. We deliver specialised data science training for people of all skill levels, from absolute beginners to working professionals and managers. Managers at various levels of an organisation can take the Data Science for Managers course to strengthen their managerial skills and implement data science into their operations.
Read –
Data Scientist Career Path – Freshers, Working Professionals, Managers
What are the Fees of Data Science Certification Courses in 2022?
What is the Salary of a Data Scientist in North America and South America?
Data Science is advancing at such a breakneck speed as a result of the massive amounts of data being generated. Data scientists have a wide range of skills that allow them to make use of data and information. This also aids businesses in making better strategic judgments. Artificial Intelligence (AI), Machine Learning (ML), and Big Data are just a few of the intriguing new topics in data science.
Check out the video to know more Data Science – What is Data Science?
Artificial intelligence, or A.I., is the simulation of human intelligence using modern computer technology and programming. Artificial intelligence is a component of the fourth industrial revolution, which includes automation as a significant component.
What are the popular career paths in Artificial Intelligence?
It’s no mystery, however, that the AI area is brimming with job openings — so many, in fact, that the industry is now confronted with a unique challenge: There are far too many job openings and far too few suitable applicants. On the plus side, this implies that for individuals with the skills, work is nearly guaranteed (and well-paid).
Big data engineers, AI engineers, business intelligence developers, ML engineers, data scientists, research scientists, and robotics scientists are among the most in-demand AI job fields.
How much is the AI salary in USA?
While AI careers have a good future of them, AI job prospects are currently at an all-time high. LinkedIn named Artificial Intelligence the top emerging career for 2020 in its annual Emerging Jobs Report.
As per talent.com, a person with skills in AI receives an average salary of $139,438 per annum. Payscale.com reveals that an average person with AI skills can earn an annual salary of $125,000 USD in America. The average salary for artificial intelligence in US is US$1,06,823, per glassdoor.com.
An AI Engineer’s salary in Washington DC is $1,17,514 yearly. (Glassdoor.com) While ZipRecruiter states the average annual salary for an ai engineer in Washington as $192,445.
According to ZipRecruiter,
The average salary for an artificial intelligence engineer in Boston is $1,64,727 per annum.
The average salary for an artificial intelligence engineer in Chicago is $1,68,822 per annum.
The average salary for an artificial intelligence engineer in Los Angeles is $190,463 per annum.
The average salary for an artificial intelligence engineer in Cleveland is $147,315 per annum.
The average salary for an artificial intelligence engineer in NYC is $169,058 per annum.
Are you up for an AI career?
This, naturally, originates from the spirit of the Fourth Industrial Revolution, which aimed to disrupt the healthcare industry’s status quo and, in the end, lower mortality rates. As a result, the next industrial revolution is expected to see AI permeate additional industries and make substantial advancements.
Taking DataMites’ Artificial Intelligence Certification Training is unquestionably the smartest decision you can make. DataMites is a worldwide training centre for data science and artificial intelligence. Only after being trained by specialists with decades of expertise in the field can you have a thorough understanding of AI. The DataMites AI Engineer Certification Training is aimed at professionals who want to advance their careers in data science and artificial intelligence.
For your reference :-
How to Become an AI Engineer in 2022?
Artificial Intelligence Certification Course Fee in 2022.
What is the Salary of an Artificial Intelligence Expert in North America and South America?
Conclusion
According to the Bureau of Labor Statistics, between 2016 and 2026, the number of jobs in computer and information technology will increase by 13%. This is faster than the average for all other occupations, with data science career prospects growing at the fastest rate.
Watch the below video – Artificial Intelligence Course Introduction.