What Do Companies Actually Look For While Hiring Data Science Professionals?

Technology is transforming businesses across the globe. Innovations like data science which bring better performances and growth are welcomed by organizations in every industry. Data is crucial as it helps companies save cost, enhance proficiency, build up advertising techniques, support business growth and make them stand out. According to Glassdoor, data scientist has been named the number one job for three years in a row. Companies are hiring data scientists to interpret and manage data and solve complex problems using their expertise. R is the most preferred language for statistical computing and graphics. Data science professionals who also have knowledge of R prove to be an asset to companies like Bank of America, Facebook, New York Times, Twitter, etc. Data Science with R training imparts skills required to work with real data and provides an opportunity to use data to provide data-centric strategic and smart recommendations.

Data science has changed the traditional ways of operating businesses. Today, companies use their best practices to achieve customer satisfaction and meet their commitments. Customer satisfaction is achieved by applying analytics to give the desired output. Data is collected from all departments and analyzed to make solid business choices. Making the right business decision is important for a business to succeed. The ability to make better and quicker decision is the strongest advantage of implementing data science. Satisfied customers tend to repeat business with an organization, helping business to optimize their marketing and investments. Therefore, data science is an integral part of any business.

There are professionals with experience in Excel, Tableau or Sheets who tend to call themselves data scientists. But companies know that they don’t have all the skills that a real data scientist would own. Data scientists are supposed to be fluent in a programming language like R or Python to develop or work with most technologies in the data science field. Tools like R are much more powerful and configurable for businesses. To become a successful data science professional, you need to have expert knowledge of statistical and machine learning, and experience in comparable coding language. Next thing that companies look for is the ability to read the data. You should be able to read the data you are working with to extract with insights, patterns, signal processing and visualizations. Data science professionals wear many hats and a single job title cannot define it. In short, they work on every stage of the analytics and statistical content lifecycle, including Data Acquisition, Data Cleaning, Analytics, Interpreting, Development and Automation.

If you want to become a data science professional who can hold his/her own position when it comes to various stages, then you need to enroll in the Data Science with R training in Noida at Multisoft Systems. They have designed this program to teach the candidates all the appropriate skills that are required in this field. Data science is an industry that is constantly growing and evolving. Hence, it is really crucial for you to continue learn, grow and adapt. No one wants to hire professionals who are rigid and outdated with the technology.

About the author: Nisha Negi is a Technical Content Writer at Multisoft Systems. She writes blog posts and articles on various technical subjects. She is an experienced IT professional, and bears immense knowledge of the latest technology. She stays current with all the ongoing and upcoming certifications. Her way of expression is contemporary and crisp.