It has never been easier, and more competitive to become a data scientist. The amount of readily available learning resources means it requires more to stand out from the crowd.
Experience is just as important as education in data science, so building a portfolio of projects and experiences is vital to starting a successful data career. A great place to start is by volunteering and sharing your work.
No matter how much you grow, Imposter Syndrome doesn’t go away. Use it to your advantage by identifying where you can strengthen your courage and increase your consistency.
During interviews, companies are not just interviewing you, you're interviewing them. How do they respond to your answers? Do they respond in a collaborative way or in a closed, aggressive way that doesn't make you feel good? Take the insights you find not as you did something wrong, but as insights into the culture of this organization. Be aware in the interview to small, subtle body language and tonal things that will give you insight into what that overall culture is.
If you want to be seen, then you have to share your work. The analogy I like to use is a music box. If you've ever seen a music box, when it's closed and just sitting on the table, you never actually get to hear what the beautiful sound is inside of it. It’s similar for data scientists that lack communication skills. They may have these amazing skills, but they're all locked in this box and no one ever knows about them. You have to open the box, and you do that by being able to tell those stories and communicate those skills. So, it's really up to you. Do you want people to hear your story and experience your amazing skills and ability? Then you're going to need the communication skills so that you can open your box.