Companies are always in need of data scientists, but they're not always in need of data scientists who only know how to crunch numbers. In order to be a sought-after data scientist, it's important to have a well-rounded skillset that includes both hard and soft skills.

Hard Skills for Data Scientists

First and foremost, companies need data scientists who have already mastered the basics. This includes things like knowing how to file documents securely, distribute documents throughout an organization, take meeting notes correctly, manage multiple schedules, and more. These may seem like basic skills, but they're essential for any data scientist who wants to be successful.

Soft Skills for Data Scientists

While hard skills are important, they're not the only thing companies are looking for in a data scientist. They also need someone who has strong soft skills, such as being able to communicate effectively, work well in a team setting, and think creatively. After all, data science is about more than just crunching numbers; it's about using those numbers to solve problems. And that's something only a well-rounded data scientist can do. 

If you're looking to enter or level up in data science, it's important to remember the importance of being well-rounded. Yes, hard skills are essential, but companies are also looking for data scientists who have strong soft skills and can think outside the box. So if you want to be a sought-after data scientist, make sure you have both the hard and soft skills necessary for success.