Now, the average business user is not affected even if a knowledgeable Data Scientist is not around. Today, technology innovations are increasingly empowering the ordinary staff with tools to conduct analytics on the fly and extract insights. With Artificial Intelligence (AI) and Machine Learning (ML) gaining prime attention in the Analytics and BI markets, the traditional roles of Data Scientists.

Data Science Is Helping the Future

Data science enables retailers to influence our purchasing habits, but the importance of gathering data extends much further.

Data science can improve public health through wearable trackers that motivate individuals to adopt healthier habits and can alert people to potentially critical health issues. Data can also improve diagnostic accuracy, accelerate finding cures for specific diseases, or even stop the spread of a virus. When the Ebola virus outbreak hit West Africa in 2014, scientists were able to track the spread of the disease and predict the areas most vulnerable to the illness. This data helped health officials get in front of the outbreak and prevent it from becoming a worldwide epidemic.

Data science has critical applications across most industries. For example, data is used by farmers for efficient food growth and delivery, by food suppliers to cut down on food waste, and by nonprofit organizations to boost fundraising efforts and predict funding needs.

In-Demand Data Science Careers

Data science experts are needed in virtually every job sector—not just in technology. In fact, the five biggest tech companies—Google, Amazon, Apple, Microsoft, and Facebook—only employ one half of one percent of U.S. employees. However—in order to break into these high-paying, in-demand roles—an advanced education is generally required.

Data scientists are highly educated–88 percent have at least a master’s degree and 46 percent have PhDs–and while there are notable exceptions, a very strong educational background is usually required to develop the depth of knowledge necessary to be a data scientist.
Here are some of the leading data science careers you can break into with an advanced degree, Data science certification.

Data Scientist

Typical Job Requirements: Find, clean, and organize data for companies. Data scientists will need to be able to analyze large amounts of complex raw and processed information to find patterns that will benefit an organization and help drive strategic business decisions. Compared to data analysts, data scientists are much more technical.Average Salary: $139,840

Data Analyst

Typical Job Requirements: Transform and manipulate large data sets to suit the desired analysis for companies. For many companies, this role can also include tracking web analytics and analyzing A/B testing.Average Salary: $83,878

Data Engineer

Typical Job Requirements: Perform batch processing or real-time processing on gathered and stored data. Make data readable for data scientists.Average Salary: $151,307

The future data scientists need to be even more specialized

It may have some hint of truth for lower-value data skills but will continue to reform and reshape the world around them, creating continued heavy demand.

“Data scientist is a broad catch-all title. While we will see more specific career paths evolve, the bubble around data science and data engineering skills isn’t set to burst.”

Technology will give these professionals more capabilities, but it won’t mean their roles will be made redundant in the years to come.it just means the overall level of data literacy will improve across the workforce, with other employees gaining a better understanding of how to use data more widely.