Data Scientist / Machine Learning Engineer

Data Science and Machine Learning have been two of the most prominent emerging fields in tech in the past decade. As a result, there has been a huge demand for Data Scientists and Machine Learning Engineers - and thus it's no wonder that many learners, students, and career enthusiasts are looking to make the switch into this field.

What is a Data Scientist/Machine Learning Engineer?

A Data Scientist/Machine Learning Engineer is a professional who has knowledge of both statistics/data analysis and computer science. This person has expertise in one or more high-level programming languages (Python, R, SQL, etc), often has advanced degrees in statistics (Masters or PhD), and often has worked in an adjacent field before transitioning into Data Science or Machine Learning (IE, a research scientist from another domain, a statistician, a software engineer, etc).

How can I become a Data Scientist/Machine Learning Engineer?

There are many ways to become a Data Scientist or Machine Learning Engineer. Some of the traditional paths have been to pursue an advanced degree in a related field (Masters in Statistics, PhD in Computer Science, etc), or to pursue a bootcamp program in Data Science or Machine Learning. However, in recent years it has become possible to self-teach Data Science and Machine Learning and get a job in the field with little to no formal education or training.

Self-teaching Data Science and Machine Learning typically involves taking online courses and learning from books and other resources. There are many different online courses available, and they can be a great way to learn the basics of Data Science and Machine Learning. However, it is important to note that online courses alone are not enough to get a job in the field of Data Science and Machine Learning. You will also need to have strong programming skills, and you will need to be able to apply your knowledge to real-world problems.