Why MNC Choose Data Science and Machine Learning?
Data scientists are not just data analysts. It is a highly specialized discipline that combines data analytics and machine learning in order to derive insights from large data sets and deliver actionable insights. To create powerful, scalable solutions and to help customers find better solutions data science will also allow the IT team to better manage the complexity of the information, understand the full context of a decision, and provide improved decision-making capability. The term data scientist is used because the profession requires the use of specialized skills, knowledge, and experience and as such, it is one of those rare career fields that are still in their early years. Therefore, there is no shortage of qualified candidates. As mentioned earlier, a recent study found that the demand for data scientists is anticipated to increase by 36% during 2015. And in fact, in 2014, LinkedIn said that it expects a 34% increase in the hiring of data professionals. In addition, we have also seen a lot of companies adopting Data Science to their business processes, such as Google and Twitter.
We have seen the success of predictive modeling on M&A decisions for many years now. As the technology continues to improve, the industry is investing heavily in R&D and machine intelligence. Companies have a lot to gain from data scientists – data insights and knowledge from machine vision, predictive models, and deep learning techniques. Of the top 10 markets for data scientist salaries:
The US, UK, Australia, Canada, China, Japan, South Korea, Germany, and the Netherlands. Data scientist’s earnings are growing at a higher rate than overall salaries, which are up 4.4 percent.
There are two main reasons for the decision. First, most translators are non-technical people with basic knowledge of English. Second, for us, translating a language from English to another language is a challenge that requires a specific set of skills that is often only acquired in university courses.