Springboard just released a free, 70-page comprehensive guide to data science careers, filled with insights from industry mentors on how to break into your first data science job.
It covers everything from essential data science skills as well as how to build an extensive network within the data science community.
Here are some of the insights we unearthed in our research on the guide:
There are several roles within data science, each with its own vocabulary. There isn’t just a general data scientist position -- there are also data analysts, data engineers, business analysts and statisticians. You can find your perfect fit within the broad tent of data science teams.
You can enter data science from varied backgrounds, in many different ways. Our mentors came from different walks in life. Some of them were academics, others were software engineers. Some have competed their way into the field with data science competitions which were open to the public.
Getting a data science job involves solving real-world problems. Some of our mentors were only able to break into the field by dedicating spare time to solving data science problems on their own. They didn’t sit around and wait for interviews--they used their skills to demonstrate how they could add value to an organization.
Data science can drive massive social impact. Not only for corporate problems, but long-standing social problems as well. Our case studies have shown that data science helps charities operate much more efficiently in sub-Saharan Africa, improving thousands of lives.
There is going to be a shortage of data scientists. According to McKinsey, the US alone will face a shortage of 150,000+ data analysts and an additional 1.5 million data-savvy managers. This is driving higher salaries and better work-life balance for a career path that is much in demand from both the employer and employee side.
We found out that the most important factor for success in breaking into data science was intellectual curiosity. People who work in data science often have a broad skillset with lots of knowledge. This is rooted in a need to understand the world around them in a rational, data-driven, and systematic manner.
If you want to join their ranks, we highly suggest you download our free data science careers guide!