Data Scientist

Machine Learning Career Paths and Potential Jobs

Data scientists analyze large amounts of data to make valuable insights on where action can be taken. Not only will a significant portion of time be spent on researching, but you’ll also solve problems, find meaning in the data associated with machine learning, and “understand the deeper implications of and human impact of [the] project”. Data scientists are part mathematician, part computer scientist and part trend-spotter. They work in both the business and IT worlds, making them a valuable employee. In fact, data scientists were the number one job in America in 2020 And it’s not slowing down. And thanks to a lack of competition, a data science career is a very lucrative option.

To become a data scientist, you’ll require quite a bit of education and a desire to continue learning new technology. Here’s a guideline to follow if a data scientist career piques your interest:

1. Develop an understanding of common programming languages

Although this isn’t necessary, it’s a great place to start either before University or on the side. With so many programming languages available, and since understanding them will be a big part of your job, it would be helpful to have a solid grasp on each language.

2. Complete your bachelor’s degree

Common degree options are statistics, computer science, information technology, math, or even data science if it’s available. Or complete an online program, such as Lighthouse Labs’ 12-week Data Science Bootcamp, to fast-track your career.

3. Work an entry-level job

Right after University, you’ll have to start with a junior role to gain an understanding on the field and work your way up to the top. Junior data analyst and junior data scientist are great job options.

4. Earn a master’s degree or PHD

As with many careers, the more education you have the more sought after you’ll be. Working as a data scientist is no exception, and furthering your education in data science, computer science, information technology, math, or statistics, will excel your career. Don’t forget to learn data management programs as well!

5. Keep learning and working hard

If you want a high paying job as a data scientist then make sure to work hard and keep learning to position yourself as best as you can for every promotion that comes your way.

Skills Required:

  • Probability & statistics
  • Calculus & algebra
  • Programming
  • Database management
  • Machine learning & deep learning
  • Data visualization

Salary Range: $87,000-$150,000+ depending on experience.


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