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How to Build a Successful Career in Data Science?

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Possession of the desired technical skills is not enough. A Data Scientist needs the following soft skills:

a. Communication: The ability to describe complicated technical topics in layman terminology is crucial, especially while reporting the findings to stakeholders without a technical background.

b. Problem-solving: Data scientists are big thinkers and problem solvers. They approach problems in atypical manners, break them down into smaller parts, and innovate solutions by using the data at their disposal.

c. Collaboration: Most of the time, data scientists work in teams involving cross-functional members, working effectively with engineers, analysts, product managers, and several other stakeholders.

d. Curiosity and Learning: Data science is an area of research in its rapid evolution phase. A Data Scientist must be curious, upscaled, and aware of new tools and techniques alongside industry trends.

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