Did you know 72% of technical teams have a severe skills shortage? Despite enormous pressure for more people to get into STEM, companies are still struggling to spot and retain talent. Experts predict this problem will only get worse in highly specialized technology areas, such as the machine learning boom.
If you’re interested in building a challenging, rewarding, and well-paying 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 precisely target specific customers, improve their products and redesign 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 businesses can use to improve all aspects of their work. Data scientists must have a deep understanding of statistics, know how to use the latest data software, and even program machine learning programs that make it easy to analyze incredibly large data sets.
Data scientists are in high demand because it’s no longer the top tech companies that study data. Virtually every business these days tracks data. Data scientists are in high demand because their knowledge can turn an underperforming business into a $100 million business. Data scientists can quickly identify areas that need improvement and develop real solutions that instantly transform a business. To break into the industry, we recommend an undergraduate degree in statistics, followed by a master’s degree in data science.
2. Cloud Engineer
Cloud computing is booming! Global spending on public cloud computing grow by 20.4% in 2022 at nearly half a trillion dollars, up from $410 billion in 2021. Cloud computing is essential for data retrieval, remote work, and synchronization of international organizations. Cloud computing is also much cheaper than physical data storage and is an easy-to-use lever for businesses looking to cut costs.
With such demand for cloud computing, it makes sense that cloud masters, cloud engineers, are also in demand. Cloud engineers are responsible for monitoring, implementing, planning, and managing a company’s cloud system. Companies have started to frantically hire cloud engineers as they catch up and migrate their systems to the cloud.
The average cloud engineer in the US already earns more $120,000 per year, and that number is expected to grow as more businesses begin to realize the benefits of cloud computing. To land a cloud engineer role, you’ll need a master’s degree in computer science and take as many cloud courses as possible. Combine your degree with a few internships and you’ll break into this competitive industry.
3. Robotics Engineer
Let’s face it, most of our work will one day be done by robots. The automation revolution is well underway, and it is estimated that in the United States alone, 60 million jobs were lost to the robots! The best way to ensure that your work is not replaced by robots is to be the one who designs and builds 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 spreading to other industries.
To become a robotics engineer, you will need high-level math skills. Geometry and physics help you design a robot’s motion, and calculus teaches you the abstract concepts a robot manipulates. You will also need coding skills. Computer programming is used to bring your robot to life. Finally, you have to be creative. Robotics is a cutting-edge field, and we are still a long way from building a real humanoid robot capable of complex actions.
To land your dream role as a robotics engineer, you’ll need a fundamental understanding of mechanical and electrical engineering, computer science, and math. It is a multidisciplinary field that requires a lot of study!
4. Machine Learning Engineer
Machine learning refers to computer programs that can operate autonomously, adapt to different conditions, and develop key insights without the need for humanitarian assistance. For example, machine learning algorithms can study x-rays and determine the patient’s injury and even improve their accuracy as they examine x-rays.
We are in the very early stages of machine learning, but these sophisticated algorithms are already being used in predictive analytics, image recognition, speech recognition, financial trading, and more. The use cases for machine learning are virtually limitless, as experts predict that these algorithms may replace most human jobs in the future.
Currently, machine learning systems are not able to scale. Currently, they must be created by humans. These technical assistants are known as machine learning engineers. These engineers build, monitor, and modify these algorithms, so they can solve problems and make accurate, impactful predictions.
The average machine learning engineer earns over $100,000 and lots of big money packages in start-ups thanks to their amazing 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’re not a math whiz or a gifted coder, you can still pursue a high-paying and booming tech career in UX design! UX design, or AKA user experience design, is about creating products and services that are easy and enjoyable to use. UX designers primarily focus on designing websites and applications. If you’ve ever used an incredibly engaging app, with incredible colors and awesome navigation, then you’ve experienced the work of a great UX designer.
As people spend more time online and e-commerce booms, businesses need to create easy-to-use websites and applications that deliver real value. Businesses 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 prototyping master. You must have design and copy skills. UX designers should also understand user testing and be experts in visual communication. Luckily, you can learn all of these skills and more with a master’s degree in UX design.
Tech jobs will only grow in the future. People who actively develop their technical skills and are interested in robotics, big data, and machine learning will be in an ideal position to find meaningful, high-paying employment. Other interesting information regarding career descriptions and job boards can be found here. Comment below what you think is the best tech career in the future!