How to become a data scientist: Beyond Programming and Statistics

Read my latest post on insideBIGDATA.

As an aspiring data scientist, you may wonder what it takes to stand out in a competitive job market. While technical skills such as programming and statistics are fundamental, they are not the only factors that employers consider during the hiring process. A range of complementary skills make your fundamental skills stand out. Here are some insights into approaching your first job, which can guide you along your data science career path.

how to become a data scientist

Taking Ownership and Demonstrating Trustworthiness

The key thing employers look for during an interview, besides obvious competencies, is someone they can trust to take ownership of a task. If an employer hires someone who needs constant supervision, it defeats the purpose of hiring them. Therefore, you should emphasize your strong sense of responsibility, initiative, and ability to produce reliable and valid work.

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