How Data Scientists are helping to overcome COVID 19’s impacts in the USA

Through curriculum and experiential learning, these specialists develop the skills to analyze complex situations. Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from many structural and unstructured data. The career is related to data mining, machine learning, and big data, and become so important for the U.S companies to overcome the pandemic.

In these uncertain times, navigating the challenges that have a lasting impact on multiple areas can be difficult. While much of the world is slowing down and responding to COVID-19 (coronavirus), there is a brand new group of professionals that are helping the country in many areas, to overcome the pandemic crisis. Data Scientists are being more important than ever to face the crisis and find a new direction to the U.S economy.

“Data science is a “concept to unify statistics, data analysis, and their related methods” in order to “understand and analyze actual phenomena” with data. It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, domain knowledge, and information science”, reveals the Data Scientist Isabela Jovanovic.

In the U.S Agriculture sector, for example, their work has given new hope. While farmers and ranchers continue to work, ensuring the nation’s food security, there are Data Scientists behind to advise and help them to find a new direction to the agriculture sector in the U.S.

“As the virus makes its way through the U.S., those professionals are helping the American farmers to closely monitor the effects it will have on their specific markets and focus on potential improvements that can be made to food safety practices within their own operations”, explains the Data Scientist, Isabela Jovanovic. “Our career is being so important for America to overcome the pandemic crisis”, says.

Impacts of data science

Big data is very quickly becoming a vital tool for businesses and companies of all sizes. The availability and interpretation of big data have altered the business models of old industries and enabled the creation of new ones. Data-driven businesses are worth $1.2 trillion collectively in 2020, an increase from $333 billion in the year 2015. Data scientists are responsible for breaking down big data into usable information and creating software and algorithms that help companies and organizations determine optimal operations. As big data continues to have a major impact on the world, data science does as well due to the close relationship between the two.

“We also can have related careers what proofs how important is our work. In the market, we have the professionals in Machine Learning Scientist: Machine learning scientists research new methods of data analysis and create algorithms. The Data Engineer: Data Engineers prepare the “big data” infrastructure to be analyzed by Data Scientists. They are software engineers who design, build, integrate data from various resources, and manage big data”, explains Jovanovic.

The Data Scientist also explains that other professionals are helping the U.S economy to overcome the pandemic. “We have Data Analysts: those professionals utilize large data sets to gather the information that meets their company’s needs. Also Data Consultant: they work with businesses to determine the best usage of the information yielded from data analysis. Data Architect: they build data solutions that are optimized for performance and design applications. And finally Applications Architect: the responsible for tracking how applications are used throughout business and how they interact with users and other applications”, says Isabela Jovanovic.

As showed by Isabela Jovanovic, Data science is a growing field. A career as a data scientist is ranked as the third-best job in America for 2020 by Glassdoor and was ranked the number one best job from 2016 to 2019. “We are a brand new career in favor of the United States”, says.

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