Data scientists gather, analyze, and interpret large data sets from company databases. They use their results to create data-driven solutions to business challenges. Also, they use the results to optimize and improve product development, marketing techniques, and business strategies. Likewise, they use predictive modeling to increase and improve customer experiences, revenue generation, ad targeting, and other business outcomes. Other duties include developing predictive models and machine-learning algorithms, using data visualization techniques to present results, and working with the engineering and product development teams.
To become a data scientist, you need at least a bachelor's degree in statistics, computer science, or a relevant field. Skills like problem-solving, communication, analytical, presentation, and math skills aid success in this role. You must be experienced using statistical computer languages like R, Python, SLQ, and so on. The data scientist can earn as low as $82,000 and a high of $165,000. Their average annual salary is $115,874.