{"id":33256,"date":"2021-07-14T11:32:43","date_gmt":"2021-07-14T18:32:43","guid":{"rendered":"https:\/\/careerkarma.com\/blog\/?p=33256"},"modified":"2021-10-16T00:24:23","modified_gmt":"2021-10-16T07:24:23","slug":"deep-dive-turing-college","status":"publish","type":"post","link":"https:\/\/careerkarma.com\/blog\/deep-dive-turing-college\/","title":{"rendered":"Turing College’s Quick Guide to Finding the Right Data Science Role for You"},"content":{"rendered":"\n

If you do a quick Google search on data science, you\u2019ll find dozens of different definitions. Companies and organizations also define their data scientist roles differently, based on their own understanding and expectation of the role. Some organizations regard it as an engineering role, while others give the title to statistical analysis experts. The data science field itself is relatively new and rather broad, so it\u2019s challenging to sum it up into one single definition. <\/p>\n\n\n\n

One thing that everyone can agree on is that roles related to data science are increasingly in demand. Glassdoor<\/a> ranks data scientists as #2 in its 50 Best Jobs in America for 2021. LinkedIn<\/a> has also reported that hiring growth for this role has grown 37 percent annually since 2016. As more and more companies understand the importance of data science, the need for data scientists continues to grow.<\/p>\n\n\n\n

What Is Data Science?<\/h2>\n\n\n\n

Because there are so many interpretations of what data science is, let\u2019s use Turing College<\/a>\u2019s definition of data science.<\/p>\n\n\n\n

Dovydas \u010ceilutka, the Lead of Data Science on Turing College\u2018s Curriculum team, offers this definition: \u201cData science is the practice of using data to try to understand and solve real-world problems.\u201d <\/p>\n\n\n\n

This explanation is quite broad, especially when compared to lengthy descriptions of data science you can find online. However, the definition above gives us a general understanding of what data science is all about. Another helpful, and similar, definition of data science is from TechTarget<\/a>.<\/p>\n\n\n\n

\u201cData science, as defined by today\u2019s industry professionals, is the study and use of data to inform business decisions and create new customer-facing products.\u201d<\/p>\n\n\n\n

Both definitions focus on the use of data to solve problems in a real-world setting. Oftentimes, understanding data is not done for the sake of academics. This is important to remember when looking at data science as a prospective career path.<\/p>\n\n\n\n

Whichever definition of data science you choose to subscribe to, the importance of data science and the high demand for data scientists cannot be ignored. Data science is a growing field<\/a> and is predicted to continue growing over the next few years. <\/p>\n\n\n\n

The Roles of a Data Scientist<\/h2>\n\n\n\n
\"Data<\/figure>\n\n\n\n

Due to the widespread confusion over the definition of data science, a company or organization can name its data scientist role however they see fit. Some might use titles such as data scientists<\/a> and machine learning engineers interchangeably. Because of this, it’s more important to focus on the required skills, expectations, and technologies used in each role, more than the title given. <\/p>\n\n\n\n

There are three popular specializations in data science, with each of them having different sets of roles and responsibilities. <\/p>\n\n\n\n

1. Data Analyst<\/h3>\n\n\n\n
\"Data<\/figure>\n\n\n\n