If “Sexy” used to describe something that attracts lot of interests and unique, data scientists are already there. Companies are getting attracted to Data Science experts and they are difficult and expensive to hire when compared to others also given the very competitive market for their services, It is also difficult to retain.
In most of the companies, data scientists are required to look and interpret the results of automated processes. But soon new low-code and no-code platforms, will grow and get affected much faster than most could think up. The work of data scientists, who are often hired to automate the company’s processes and activities, could, in the future, be largely “automated.”
Industry Trends
LinkedIn using machine learning and Data Science to boost the power of data to help all users through Technology and science. GE is using data science to enhance the service contracts and maintenance intervals for industrial products. Google uses data scientists to accurate its core search and ad-serving algorithms. Zynga using data science to advance the gaming experience for user extended engagement and business returns. The American media company Netflix created the Netflix Prize, their data science team who developed the way to improve the company’s movie recommendation system. Twitter using Data Science to recommend content and creating new accounts based on their search interests.
Data Science Careers
The requirement for data scientist is growing in every job space. Data Science is highly in-demand career choice and guaranteed high-paying salaries. Data scientists are highly educated and more of intelligence and a certain skill set relevant to the field. Below are few popular data science jobs.
Need for data science experts is likely to continue to grow in the years ahead. Data becomes increasingly everywhere , companies may increasingly rely on subject matter experts who are comfortable working with data. Future Data Scientist use data to assessing alternative resolution but in the first place they won’t focus on data.
Certainly, In Future, The data scientists combine technical skills to areas like information Technology and statistics with domain competence like healthcare and product marketing will expand. Furthermore, creativity will become one of the key skills of great data scientists for growing industries.
