Quick Answer: Will Data Scientists Become Obsolete?

How can you tell a fake data scientist?

If a professional cannot provide clear examples of their experience with unstructured data, or mentions data science projects, but keeps their involvement very vague, then they are probably not a data scientist.

If their specific role in or impact on a Big Data project is unclear, that is cause for concern..

Is there a shortage of data scientists?

The shortage of data scientists around the country has been well documented. The August 2018 LinkedIn Workforce Report found that there were more than 151,000 data scientist jobs going unfilled across the U.S., with “acute” shortages in New York City, San Francisco, and Los Angeles.

Who is the best data scientist in the world?

The first name on the list is Dr. DJ Patil, the U.S Chief Data Scientist at The White House. … 2.Yann Lecun. Second on the list is Yann Lecun, Director of AI Research Wing, Facebook. … 3.Allen Bonde. Allen Bonde was one of the earliest advocates of the data-driven marketing concept. … 4.Jeff Hammerbacher. … 5.Josh James.

Which is better AI or data science?

Data Science comprises of various statistical techniques whereas AI makes use of computer algorithms. The tools involved in Data Science are a lot more than the ones used in AI. … Data Science does not involve a high degree of scientific processing as compared to AI.

Is Data Science hard?

Because learning data science is hard. It’s a combination of hard skills (like learning Python and SQL) and soft skills (like business skills or communication skills) and more. This is an entry limit that not many students can pass. They got fed up with statistics, or coding, or too many business decisions, and quit.

Is data science just hype?

Data Science Is Not Just Hype It is present and very popular. … A lot can be learned from the massive quantities of data constantly being produced, and in order to research and learn, we need data scientists. My point here is that the field of data science is far more than just hype.

Is data science a dying industry?

Data science died because it can’t effect the kind of change that is required in an increasingly competitive environment. Data science used to be the show piece of advanced analytics, deploying their sophisticated props to unsuspecting (and ignorant) crowds the world over. But that data science is dead.

How long will data Science last?

But perhaps the century will last only 25 years….When will most expert-level Predictive Analytics/Data Science tasks – currently done by human Data Scientists – be automated: [255 voters]Now (it already happened) (13)5.1%in 20-50 years (20)7.8%it will take more than 50 years (16)6.3%never (48)18.8%4 more rows

Are data scientist in demand?

Data scientists are also in demand because there is a shortage of qualified data science professionals on the market today. … The tasks a data scientist may perform daily may differ from company to company. Executive recruiting firm Burtch Works says data analytics professionals may serve a variety of roles.

Are data scientists happy?

According to the study, more than 90 percent of data scientists surveyed said they were happy doing their jobs, and nearly 50 percent said they were thrilled. … Data scientists say they are happiest doing cerebral tasks, such as building and modeling data, mining data for patterns, and refining algorithms.

Will data scientists be replaced?

Will machine learning replace data scientists? The short answer is no, or at least not yet. Certain aspects of low-level data science can and should be automated. However, machine learning is creating a real need for data scientists.

How many data scientists are required?

Feyzi Bagirov: In 2016, Huffington Post indicated there are approximately 1.5 [million] to 3 million data scientists in the world. Extrapolating from the [estimated supply-demand gap reported on Indeed], the need last year would have been between around 1.69 [million] and 3.19 million data scientists.

Is AI a good career?

AI is a sound career choice for a while now and as the adoption of AI in various verticals continues to grow, the demand for trained professionals to do the jobs created by this growth is also skyrocketing. … Therefore, if you are an AI enthusiast then be optimistic and prepare for a great career in AI.

Why do data scientists quit?

Following are three reasons that lead to data scientist leaving their high profile jobs: First is the lack of proper infrastructure in terms of computing systems and access to advanced tools that enhance a data scientist’s role. The second reason is the limited scope of a company.

Which IT field is best for future?

1. Artificial Intelligence (AI) / Machine Learning Engineer. AI/Machine Learning Engineers are in high demand as the tech industry shifts its focus toward the emerging field of automation. Thus, AI and Machine Learning gigs are among the best tech jobs for the future by most measures.