Computer Scientist Related Career Paths

When deliberating which career to pursue, it’s essential to understand all the different paths that exist under the computer science umbrella. Computer science is a broad field that encompasses different specializations, ranging from coding and finance to marketing and design-related. You may consider which career path works best for your lifestyle and preferences, but all the options available make it easier to compare and contrast. In addition, because computer science is such a broad field, you can make a career shift more seamlessly than you could in another field. This article intends to dive into different career paths that would be suitable for a computer science expert to explore. If you are curious about pivoting to a different career within the computer science realm, continue reading to learn more about your options.

What is a Computer Scientist?

A Computer Scientist is a professional who applies their technical and analytical skills, as well as the key principles of computer science, to solve problems and develop new technologies. They work on a variety of projects that range in purpose, from designing models and developing software to analyzing datasets and enhancing the functionality of a computer system. Additionally, they are frequently found researching new ideas and contributing to the betterment of an organization or specific product. Computer science is a wide-ranging field, so many Computer Scientists typically acquire skills in programming, artificial intelligence, and cybersecurity. All in all, they play a crucial role for any company that relies on computers, data, software systems, and other technical products to keep their day-to-day operations running smoothly.

Software Engineer

What is a Software Engineer?

Software Engineers work to design, create, monitor, and update software systems and applications. They either develop new software or update the existing software that they work with. Software Engineers frequently debug issues, write code, work with other tech professionals, and present new insights and updates to stakeholders. They are integral to any software company or business that utilizes software and ultimately help the software work at optimal performance.

How This Job Relates to Computer Science

Software Engineers frequently work with other computer science experts and have overlapping responsibilities and skills. They typically apply computer science principles like algorithms, data management, and software-specific practices. Additionally, both roles can create and update dependable and operational software. This requires a firm comprehension of programming, computer theory, and problem-solving skills.

IT Security Specialist

What is an IT Security Specialist?

An IT Security Specialist is one of the most important roles for any company that relies on computers, data, and technology to run their business. They are charged with protecting and maintaining the security measures of any organization as well as preventing hackers and other cyber security threats. This role involves putting security measures in place, tracking any spots that are susceptible, performing risk assessment, and responding to any security breaches. An IT Security Specialist is a safeguard for all the data that is relevant to the company and they work diligently to maintain its integrity, privacy, and accessibility.

How This Job Relates to Computer Science

Security is an important facet of any computer science field. IT Security in particular is pulled from computer science with concepts such as system architecture, network security, privacy, and cryptography. It is essential for someone working in either role to understand software systems and how they operate as well as the security risks that could arise. Overall, computer security seems to be a natural attachment to the computer science field.

Machine Learning Engineer

What is a Machine Learning Engineer?

Machine Learning Engineers are responsible for developing and maintaining computer models and algorithms used to perform automated tasks. Essentially, a Machine Learning Engineer is adept at artificial intelligence and data analysis and their skills allow a computer to mimic human behavior, become self-sustaining, and continuously learn as it operates. They have well-developed technical, analytical, and mathematics skills and frequently spend their time creating and editing computer models, working with large datasets, and using statistical analysis to determine the next steps in a project.

How This Job Relates to Computer Science

Machine learning is a subset of artificial intelligence and computer science that focuses on statistics, computer models, data analysis, and other technical concepts. Having experience with computer science will make a machine learning career far less stressful as they use similar skills. For example, both fields require strong knowledge of mathematics, programming, computer theory, and algorithms.

Web Developer

What is a Web Developer?

A Web Developer is tasked with developing, creating, and sustaining websites or web applications. This job requires knowledge in front and back end development, as a Web Developer typically focuses on the user interface and user experience as well as the server-side elements and databases. Overall, Web Developers ensure that the website or application is well-organized, properly functional, and aesthetically pleasing.

How This Job Relates to Computer Science

Web development is a facet of computer science that involves understanding programming, computer theory, databases, and other website technologies. They frequently use languages like HTML, CSS, and JavaScript and apply computer science skills to fix problems with the website and debug code. In addition, they monitor the website’s performance and use their keen problem-solving skills to make adjustments as necessary. A Web Developer will also manage data associated with their project and perhaps gain more insights from said data.

How to Decide Which Career is Right for You

If you know that you’re interested in receiving a computer science education but aren’t sure what the right path for you would be, you’ll have to consider a few key aspects before choosing. You will want to evaluate everything from your interests to your goals and salary expectations. Below are a few of the most notable considerations before deciding which career is right for you.

Personal Interests and Goals

First, you will want to discover what aspects of computer science intrigue you and make you eager to learn and explore more. This specialty will have to align slightly with your long-term aspirations, so it’s best to take significant time to figure this out. For example, perhaps you are interested in data analytics and know that becoming a Data Analyst or Data Scientist is the right idea. On the other hand, you may feel passionate about developing new and exciting software that contributes to the advancement of society in numerous ways. Likewise, you may be curious about the future of artificial intelligence and feel compelled to explore it in greater depth to become a Machine Learning Engineer. Reflecting on your interests and goals is one of the best ways to start your job search and find a career that sparks your interest.

Acquired Skills and Education 

It’s also useful to evaluate your previous knowledge, educational strengths, and relevant skills. Each computer science career requires distinct skills and insights, so you may have an advantage in one career path versus another. For example, if you know how to program with Python, data analytics or data science may be a suitable path. However, if you feel adequate at handling cybersecurity risks, you could explore what it takes to become an IT Security Specialist. If you have strong mathematical skills, you may choose machine learning or artificial intelligence. Overall, your educational background and aptitudes can play a vital role in determining which direction is the best for your lifestyle and needs, so it is necessary to include them in your deliberations.

Desired Salary

Each computer science role will vary from the next, including salary expectations. A Computer Scientist will earn a different wage based on a few factors, including location, company, industry, certifications, education, experience, and specializations. Some computer science roles, like Web Developers, will earn more depending on how essential a website is in providing continual growth and success for a company. Likewise, if you find a job at a big company in a large city, the pay will likely be higher than if you are searching for a smaller business in a smaller area. However, it’s imperative to factor in the cost of living in whatever region you reside. Consider what certifications or career-developing projects you could complete to ensure the jobs you land reach your financial goals and lifestyle needs.

Work Style Preferences

In addition, you'll want to find a job that aligns with your preferred work style and environment. Many computer science roles can operate in a traditional, in-place work setting or a hybrid or remote option. If you thrive in group settings and work best when collaborating and interacting with others, you will want to find an in-house career. Alternatively, if you want to work from home out of convenience and comfort, you can explore various remote positions. If you want the best of both worlds, hybrid options exist that require working in person at least partially. In addition, there are freelance opportunities for most computer science professions, so you can work for myriad companies, expand your portfolio, and diversify your skillset.

Career Growth, Job Market, and Professional Opportunities

Lastly, it will be worthwhile to research the job market in your area as well as other professional opportunities for career growth. The computer science field is expected to grow exponentially in the coming years, so there are many potential opportunities for advancement. If you have a long-term goal, such as achieving a senior-level position or running your own company, you will want to ensure that the training method and employer you choose encourage your growth.

Learn the Skills to Become a Computer Scientist at Noble Desktop

The Noble Desktop Data Science Certificate enables students to learn everything related to entering the field of data science. The curriculum offers a range of topics such as data science, statistical analysis, machine learning, and data visualization. Students will learn Python, R, and SQL as well as develop skills relevant to predictive models and data visualization software. Through hands-on projects, students will be able to build a professional portfolio and feel more confident using their skills in their future workplace. This program is designed to provide a strong foundation in data science and help students prepare for the ever-growing data science field.

Likewise, Noble Desktop offers a Python for Data Science Bootcamp where students will learn how to utilize Python for data science, including everything from data manipulation, analysis, and visualization, to working with libraries such as Pandas, NumPy, and Matplotlib. Students will use data science tools like Jupyter Notebooks and complete projects that demonstrate their Python and data science skills. The bootcamp is designed for students who want to gain professional-level skills and experience hands-on projects that give them insight into the field.

If you want to explore JavaScript over Python, Noble Desktop also offers a JavaScript Programming Bootcamp. Here, you can explore the various uses of JavaScript and learn its unique syntax, functions, and programming abilities. Students will learn how to write and debug code as well as apply JavaScript concepts to real-world scenarios, like developing websites, manipulating Document Object Models, and handling different browser elements. Understanding how to use JavaScript can lead to creating responsive and unique web pages that operate at maximum capacity. This course can help you build a solid foundation that can be built upon for years to come.