In the next ten years, what will be the most important skill needed in data science? Hint: it’s not Tensorflow, it’s not GPT-3, and it’s not the next fancy deep learning algorithm. The most important skill you need is actually applying good data science judgment.

You probably already know (or at least suspect) that big tech’s hiring algorithms are extremely methodical. These are companies with multi-billion dollar valuations that have to operate at scale. And they still have to try to find the best hire for the job.

With a little more insight into the similarities and differences between software engineering and machine learning, you can take the next step in advancing your computer science career.

As an aspiring data science professional, you have a lot of options to choose from when it comes to preparing yourself for your next big interview. We’ve looked at the competition for preparing you for your data science interview and here’s how they stack up.

Data science product manager is the next hottest role

The data science engineer is at the center of the big data revolution where every company scrambles to integrate machine learning, deep learning, artificial intelligence, and data-driven decisions.

Data science, data engineering...is there a real difference?

In the booming field of data science, it’s relevant to check out how much you can really make at an entry level position. Although anyone can search the median and average salaries, we will break it down by factors such as company size, skill set, and cost of living.