colleenjansen

colleenjansen

Colleen Jansen is a business analyst at Quytech, a Top Custom mobile app development company that provides Android, iOS, AI and Augmented reality app development services. As a marketing expert in the IT solution company, she loves to write about the latest app development trends and technology.

Technology

5 Key Data Science and Machine Learning Career Trends in Upcoming Years

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In the last few years, data science and Machine learning have increasingly been adopted by businesses at various levels. As a result, new opportunities in terms of career started evolving in this shifting market. From the latest trend of the market, it is clear that the world of data science has already grown meaningfully since 2018.

It is reported that job opportunities in this field are likely to grow by 11 percent by the end of 2021. The job role of data scientist and machine learning expert is considered as one of the worthwhile careers in current time. Let’s have a look at five key trends in Data Science and Machine Learning career in 2019.

An upsurge of Data Centricity

As the next evolution will be towards data-Centricity, data science and machine learning experts are getting more popular. Data has now become a strength for most of the businesses in various verticals. Therefore, in current time it is a great opportunity to understand data flow in the organizations and to explore the potential of data strategy.

Quantitative analysis

When it comes to analyzing big data sets, data analysts play a vital role in the field of data science. Incorporating computable analysis skills will help in enhancing the knowledge to do untried analysis. The importance of implementing machine learning helps in scaling up the entire data strategy to discover detailed insights.

Data Engineers Demand

Industries like financial services, manufacturing, and retail services are looking forward to the need of advanced data science and machine learning experts. Data engineers are responsible for collecting, storing, and processing real-time data. The need for hiring data engineering is to develop an analytics solution so that data experts can analyze data flow seamlessly.

Python is the Front-runner

Today data of businesses has become the greatest strength. Python-based technology is playing an important role. For new opportunities and revenue carter drivers, huge investments are made in this area. Businesses in technologies are hiring the skill sets to make their services more strong. Machine Learning is being used across many industries, thus implementing Python has improved the business outcomes dramatically.

Data Science trade

The data Science job is currently conventional in the business where the machine-guided solutions are handled with human experts. Their demand is increasing with time. As different size of organizations has started to implement data science and machine learning technologies to sustain in this high competition. At the same time, the field of data science is in a state of flux and it is bringing some major opportunities in the present career trend.

Takeaway

Big Data has taken Data Science and machine learning forward by leaps and bounds. With advanced AI technologies, data experts are helping to understand the huge amount of data to meet all business requirements. These forms of Artificial intelligence development have become a vital part of the organization’s growth.  Data have become major asset of the business world. Likewise, the role of the ambitious data engineer has become more demanding from a career perspective.

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