How Data Science Skills Can Advance Your IT Career
Posted: Tue Feb 11, 2025 6:15 am
The data science landscape has changed considerably in the last few months.
The rise of AI tools and user-friendly data platforms has democratized access to data-driven insights, giving even non-experts access to an essential toolkit that enhances efficiency and decision-making.
As data science becomes more integral to business operations, employers expect data literacy from more of their workforce. A recent study found that nearly 25% of all job postings in the United States sweden whatsapp number data require at least some data science skills. And these skills deliver a big payoff; data-literate applicants can expect about 15% more compensation than their untrained counterparts.
This is especially true for IT professionals. Often data responsibility resides, to some extent, with the IT department. IT is responsible for database maintenance, for contracts with cloud providers, for the protection of sensitive data, for data access permissions for employees, and so on. In one way or another, IT professionals within the company will be in contact with the data science professionals.
So, why not grow their data science skills? These skills would make any IT professional more competitive in the job market, better integrated within the company’s data science and AI strategy, and highly sought after by management. It is one thing to help data scientists access the data and build their reports; it is another thing to understand their goals and actively collaborate with the data science project execution.
The rise of AI tools and user-friendly data platforms has democratized access to data-driven insights, giving even non-experts access to an essential toolkit that enhances efficiency and decision-making.
As data science becomes more integral to business operations, employers expect data literacy from more of their workforce. A recent study found that nearly 25% of all job postings in the United States sweden whatsapp number data require at least some data science skills. And these skills deliver a big payoff; data-literate applicants can expect about 15% more compensation than their untrained counterparts.
This is especially true for IT professionals. Often data responsibility resides, to some extent, with the IT department. IT is responsible for database maintenance, for contracts with cloud providers, for the protection of sensitive data, for data access permissions for employees, and so on. In one way or another, IT professionals within the company will be in contact with the data science professionals.
So, why not grow their data science skills? These skills would make any IT professional more competitive in the job market, better integrated within the company’s data science and AI strategy, and highly sought after by management. It is one thing to help data scientists access the data and build their reports; it is another thing to understand their goals and actively collaborate with the data science project execution.