Did you know 72% of tech teams have a serious skills shortage? Despite the huge push for more people to get into STEM, companies are still finding it extremely difficult to spot and retain talent. Experts predict this issue will only get worse in highly specialized areas of tech, such as the machine learning boom.
If you are interested in building a challenging, rewarding, and highly paid tech career, check out these 5 amazing tech career paths.
1. Data Scientist
Does it seem like everyone is talking about data? Thanks to the invention of different software, companies are now able to collect huge amounts of data on all aspects of their business. This data allows companies to accurately target specific customers, improve their products, and reshape their internal processes. However, collecting, organizing, and analyzing data is a complex and time-consuming process. This is where data scientists can help!
Data scientists use statistics, mathematics, and machine learning to analyze data and develop insights that companies can use to improve all aspects of their work. Data scientists need to have a deep understanding of statistics, know how to use the latest data software, and even program machine learning programs that make analyzing impossibly large data sets simple.
Data scientists are in very high demand, as it is no longer cutting-edge tech companies that are studying data. Nowadays, virtually all companies are tracking data. Data scientists are in such high demand because their insights can turn a poor-performing business into a $100 million company. Data scientists can quickly identify areas that need improving and develop real solutions that instantly turn a company around. To break into the industry, we recommend an undergraduate degree in statistics and then a Master’s in data science.
2. Cloud Engineer
Cloud computing is experiencing astounding growth! Global spending on public cloud computing will grow 20.4% in 2022 to almost half a trillion dollars, up from $410 billion in 2021. Cloud computing is critical for data recovery, remote working, and helping sync international organizations. Cloud computing is also much cheaper than physically storing data and is an easy lever to pull for companies looking to cut expenses.
With so much demand for cloud computing, it makes sense that the masters of the cloud, cloud engineers, will also be in demand. Cloud engineers are in charge of monitoring, implementing, planning, and managing a company’s cloud system. Companies have begun frantically hiring cloud engineers as they play catch up and migrate their systems to the cloud.
The average cloud engineer in the US is already earning over $120,000 per year, and this number is expected to rise as more companies start realizing the benefit of cloud computing. To land a cloud engineer role, you will need a Master’s in computer science and take as many cloud courses as you can. Combine your degree with a few internships, and you will crack this competitive industry.
3. Robotics Engineer
Let’s face it, most of our jobs will one day be done by robots. The automation revolution is well underway, and it is estimated in the US alone, 60 million jobs have been lost to robots! The best way to ensure your job isn’t replaced by robots is to be the one designing and building them!
Robotics engineers design and build robots that perform different tasks. Currently, most robots are used in manufacturing, but as they become more advanced, they are being expanded to other industries.
To become a robotics engineer, you will need some high-level math skills. Geometry and physics help you design a robot’s movement, and calculus teaches you the abstract concepts that a robot manipulates. You will also need coding skills. Computer programming is used to bring your robot to life. Finally, you need to be creative. Robotics is a cutting-edge field, and we are still very far from building a true human-like robot that is capable of complex actions.
To land your dream role as a robotics engineer, you will need a fundamental understanding of mechanical and electrical engineering, computer science, and mathematics. This is a multidisciplinary field that requires a lot of studying!
4. Machine Learning Engineer
Machine learning refers to computer programs that can run autonomously, adapt to different conditions and develop key insights without the need for humanitarian aid. For example, machine learning algorithms can study x-rays and determine the patient’s injury and even improve their accuracy the more x-rays they review.
We are in the very early stages of machine learning, but these fancy algorithms are already being used in predictive analytics, image recognition, voice recognition, financial trading, and more. The use cases for machine learning are virtually unlimited as experts predict that these algorithms can replace most human jobs in the future.
At the moment, machine learning systems are not capable of developing themselves. Currently, they need to be created by humans. These tech wizards are known as machine learning engineers. These engineers build, monitor, and tweak these algorithms, so they can solve problems and make accurate and impactful predictions.
The average machine learning engineer earns over $100,000, and many land big-equity packages in start-ups thanks to their incredible technical skills. To become a machine learning engineer, you will need an M.Sc. in Artificial Intelligence or M.Sc. in Computational and Applied Mathematics.
5. UX Designer
If you aren’t a math genius or aren’t a gifted coder, you can still pursue a high-paying and booming tech career in UX design! UX design, AKA user experience design, is all about creating products and services which are easy and enjoyable to use. UX designers are mostly focused on website and app design. If you have ever used an app that was incredibly engaging, had amazing colours, and awesome navigation, then you have experienced the work of a great UX designer.
As people are spending more time online and e-commerce is booming, companies need to create websites and apps that are easy to use and provide real value. Companies can lose millions of dollars in revenue if their online platforms are slow, buggy, and difficult to navigate.
To be a successful UX designer, you need to be a master at prototyping. You need to have design and copy skills. UX designers also need to understand user testing and be experts at visual communication. Luckily, you can learn all of these skills and more with a Master’s in UX design.
Tech jobs are only going to grow in the future. People who are actively developing their technical skills and are interested in robotics, big data, and machine learning will be in a perfect position to find meaningful and high-paying employment. Other interesting information regarding career descriptions and job tips can be found here. Comment below what you think will be the top tech career in the future!