Computer Scientist Job Titles

You can find a lot of different career paths under the computer science umbrella. It’s an incredibly diverse field that ranges in focus, specialties, and job roles. Understanding all the different job titles and purposes is crucial for deciding which path you’d like to take on your journey to learning computer science. Each job will have similarities and differences that may determine which suits your desires and passions more. For instance, you can pursue a computer science education and become a Software Engineer, where your main focus is developing software. In this role, you’ll write and work on code, debug programs, and maintain functionality. The day-to-day tasks of a Software Engineer will vary greatly from that of a Data Scientist, which is another common role for computer science professionals to pursue. In this role, you’ll find yourself engaging in data analytics far more frequently. Additionally, you’d be tasked with using models and advanced algorithms to determine trends from said data sets. You can also work in cybersecurity, which differs greatly from a Software Engineer and a Data Scientist. As a Cybersecurity Engineer, you will detect, mitigate, and prevent cyber attacks on various levels. All in all, different job titles will not only define the nature of the work but also dictate what specific skills you need. Computer science jobs are wide-ranging and abundant, so it is worthwhile to consider all the various avenues this educational journey may take you on.

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.

Computer Scientist Skills

Technical Abilities

To become a computer science expert, you will first need a diverse skill set, ranging from technical to soft skills, to fix complex computer problems and develop new innovative technologies. You’ll need to acquire astute technical capabilities that go beyond simple computer mastery. This includes vast knowledge of programming languages like Python, Java, SQL, C++, and JavaScript. In addition, database management is a key skill that enables a computer science professional to maintain and manipulate large datasets. The average computer science expert will also be skilled at understanding and using algorithms, developing machine learning models, and understanding the core of artificial intelligence including concepts like neural networks, natural language processing, computer vision, and other AI-driven tools.

Specializations

Because computer science is such a broad field, many computer science students may choose to study more specialized skills. These skills are ingrained in computer science specializations such as software development, cyber security, and web development. You may want to sharpen your software engineering capabilities by learning to use version control with Git and design, test, and maintain different software systems. On the other hand, many computer science experts learn to handle cyber attacks like fraudulent banking activity. Expertise in securing a network and encryption can be incredibly worthwhile. Web development requires full-stack development knowledge, which is also a common skill many computer science experts learn.

Soft Skills

Just as important as the technical skills are the plethora of soft skills a computer science professional will want to attain. This will include problem-solving, as a Computer Scientist will have to creatively solve complex technical issues and debug different errors. In connection with problem-solving, they will need to be strong critical thinkers with an analytical mindset. For a Computer Scientist to thrive in their work environment, they will likely need to have a collaborative personality and be able to adapt to numerous situations and changing project requirements. They are typically meticulous to ensure they make as few errors as possible during their projects. Plus, they will need to be skilled in the art of communication as they will work closely with other professionals in and outside their departments.

Computer Scientist Career Path

The path to becoming a Computer Scientist will look different for each person, but the overall expectations start with obtaining an education. For job acquisition, you will want a hands-on experience that ensures you feel comfortable with complex concepts, tools, and techniques associated with your computer science specialty. Plus, you’ll want a training method that offers additional benefits and resources. This combination can lead to landing an entry-level position where you can gradually accumulate experience, define your forte, and forge a path to a successful and enjoyable career.

You may start as a generalized Computer Scientist or specialize in artificial intelligence, cybersecurity, machine learning, data analysis, and many other roles. For instance, you could start as a Cybersecurity Analyst and work up to Chief Technology Officer. You may begin as an entry-level Machine Learning Engineer and find yourself climbing the ranks to become a senior-level employee. With more time spent in the field, you will become more knowledgeable about the more complex concepts and capable of handling large projects.

Once you feel confident and capable in the field, you may feel prepared to explore other computer science career options. For instance, you can explore the many freelance opportunities as well. Freelancers have the flexibility to work from anywhere and for any company, which allows them to diversify their portfolio and expand their skill sets. This path leads to more opportunities and helps push you to the next level in terms of creativity, innovation, and technical expertise. Moreover, it enables you to adopt a broad range of skills that sharpen your business acumen, including self-discipline, client acquisition, project management, and other business operations. Each computer science professional's path will look somewhat different, but this is part of the appeal of working in this field.

Machine Learning Engineer

What is a Machine Learning Engineer?

A Machine Learning Engineer is an expert in designing, developing, and deploying machine learning models. They specifically use algorithms and statistics to help computers predict trends, make decisions, and learn as they continue to operate. This involves developing and deploying models that can handle natural language processing, computer vision, and predictive analysis. They work with programming languages, computer models, machine learning frameworks, and other tools to handle data sets, build models, and maintain machine learning systems.

Similarities with a Computer Scientist

Machine Learning Engineers are similar to Computer Scientists in several ways, namely in their use of programming. They both need a strong understanding of algorithms, database management, and computational problem-solving. Both roles also handle research and developmental tasks essential to solving complex problems and developing new models. However, Computer Scientists are in a much broader job position than Machine Learning Engineers, who would specialize in data and machine models. 

Machine Learning Engineer Job Skills

Some key skills a Machine Learning Engineer would need include knowledge of programming languages (like Python and R) as well as machine learning libraries and frameworks (like TensorFlow or PyTorch). In addition, they will need strong data analysis and management skills and the ability to visualize data in different forms. They will also frequently use cloud platforms like Azure to deploy their previously designed machine learning models.

Industries That Hire Machine Learning Engineers

Machine Learning Engineers are hired in all kinds of industries, ranging from technology and automotive to healthcare and finance. Across each industry, they will likely perform both similar and dissimilar tasks. For instance, financial Machine Learning Engineers may utilize their skills to detect fraud in the system. On the other hand, healthcare Machine Learning Engineers can create models that depict patient outcomes and develop treatment plans. Those in the automotive industry may use them to develop self-driving vehicles. In the tech industry, a Machine Learning Engineer will likely have a broader range of responsibilities, like model development, customer experience, and statistical analysis.

Average Salary for a Machine Learning Engineer

Salary reports vary depending on numerous factors such as location, specialization, industry, experience, and education level, but data from Indeed suggests the average base salary for a Machine Learning Engineer in the United States is roughly $161,000. Most entry-level positions are on the lower end, but with high-level jobs, the salary expectations could easily surpass $200,000. Plus, your location plays a huge part. New York City-based Machine Learning Engineers earn roughly $186,000 whereas those in Chicago earn closer to $162,000.

Data Analyst

What is a Data Analyst?

Data Analysts are professionals who manage and analyze large data sets to provide insights and support throughout the decision-making process. Their tasks include interpreting data-driven insights, building reports, visualizing their findings, and using miscellaneous tools to assist them in their analytical procedures. In addition, a Data Analyst will work with databases, software, and various methodologies to reveal the trends and patterns in data sets. All in all, their goal is to translate data into a language everyone can understand, which lends itself to optimized business strategies and operations, thus increasing productivity and profit.

Similarities with a Computer Scientist

Data Analysts share foundational knowledge with Computer Scientists, including data management, statistical methodologies, and programming languages. Some of their tasks overlap, such as when they use tools and software to analyze data and visualize their findings. However, Computer Scientists focus mainly on development and design whereas a Data Analyst is immersed purely in the data management side of business operations. Still, they are similar enough that the two roles can sometimes appear interchangeable or at least work with one another.

Data Analyst Job Skills

Some of the most important skills a Data Analyst needs include anything related to data management, visualization, and analysis. This will include understanding programming languages like SQL and Python as well as software and tools such as Excel, Power BI, and Tableau. Moreover, a Data Analyst will need to understand how to present information in a clear, understandable way and have well-developed communication skills. They will be able to establish what message the data is sending as well as the actionable insights that can be gained from said data.

Industries That Hire Data Analysts

As companies grow increasingly reliant on data for their daily operations, Data Analysts can find employment in virtually any industry. They are frequently hired in marketing departments as they can easily assess and predict consumer behavior and needs. Finance, healthcare, retail, and technology companies are all known to hire Data Analysts to manage their data from different marketing campaigns, financial situations, and project outcomes. Specifically, a Data Analyst may help retailers manage their inventory or improve patient care by examining trends in recent local healthcare data. The opportunities as a Data Analyst are practically endless.

Average Salary for a Data Analyst

Glassdoor shares that the median total pay for a Data Analyst in the United States is around $108,000. However, many see salaries ranging from $87,000 to $137,000. Of course, this will vary greatly depending on your experience and education. For instance, you may start at the lower end of your salary expectations, but by moving your way up from an entry-level Data Analyst to a Senior Data Analyst, you can expect to earn closer to $133,000 to $197,000. Companies such as Meta, Wish, and Affirm all pay their Data Analysts a salary within this range, so it’s worth comparing this role from city to city and company to company before deciding on a job.

IT Security Specialist

What is an IT Security Specialist?

Someone employed as an IT Security Specialist would be responsible for maintaining the safety standards of an organization's computer systems. They essentially keep highly sensitive data safe by putting preventative measures in place to ensure data breaches are detected and deflected. An IT Security Specialist plays an essential role in preventing and identifying security breaches (such as a hacking attempt) and responding to them in real-time. They are hired across vast industries and are typically given access to parts of the company that are otherwise considered incredibly confidential.

Similarities with a Computer Scientist

IT Security Specialists share relevant skill sets with Computer Scientists despite their difference in focus. They both have keen programming, computer systems, and algorithmic skills that allow them to grasp complex technical concepts. Plus, they will frequently conduct research and debug errors in their roles. However, IT Security Specialists focus on preventing security threats and implementing additional protective measures.

IT Security Specialist Job Skills

As an IT Security Specialist, you should understand advanced network security techniques, firewall management, and software systems. This involves knowing when to apply different encryption methods or scan for fraudulent activity. They should also understand the standards for their industry and company. In addition, it may be useful to learn automation to handle menial security tasks and some more time-consuming efforts

Industries That Hire IT Security Specialists

Any industry that relies on technology in some form will hire an IT Security Specialist. This can include the healthcare, finance, entertainment, technology, and retail industries as well as the federal and local government. In the case of the government, incredibly sensitive national security information must be protected. Likewise, those who work in the healthcare industry have to protect patient information, so that their treatment plans, medication lists, diagnoses, and other health data are not breached.

Average Salary for an IT Security Specialist

Salary reports from Indeed indicate that the average IT Security Specialist in the United States receives an annual wage of roughly $112,000. However, your location will likely play a big part in whether your salary exceeds the national average. For instance, New York City and Los Angeles-based IT Security Specialists earn roughly $135,000 and $134,000, respectively. However, those living in Washington, D.C. earn closer to $122,000. Plus, the industry and company will play a role in your salary expectations as well.

Software Engineer

What is a Software Engineer?

Software Engineers develop, test, and regularly upgrade software applications. They will apply their engineering skills to ensure the software is operating at maximum efficiency. A Software Engineer will typically make sure the software is scalable, meets user needs, and functions as intended. They use different tools and techniques to create software that can operate on a mobile device or web browser as well as a video game or streaming service.

Similarities with a Computer Scientist

In comparison to a Computer Scientist, the average Software Engineer will have the same foundational skills. This includes expertise in programming, software development principles, and debugging. Additionally, they will have a strong understanding of algorithms. Computer Scientists typically focus on a broader range of computer problems whereas Software Engineers focus more on developing software, but the two share many skills and tools.

Software Engineer Job Skills

Programming is one of the first skills that a Software Engineer should acquire. They frequently use Java, JavaScript, Python, and C++ to design and create software. Additionally, they will use corresponding libraries and frameworks. They will be tasked with testing, updating, and maintaining the software as well. A Software Engineer has to problem-solve and troubleshoot to debug the existing version and create a more efficient and effective updated version. As such, they are strong analytical thinkers with creative and technical skills.

Industries That Hire Software Engineers

Software Engineers can find jobs across numerous industries, like finance and healthcare or entertainment and technology. Many Software Engineers are employed by tech companies that develop software for various reasons. Specifically, many software engineering experts in the finance industry are hired to build secure and user-friendly banking applications. In the entertainment industry, however, many Software Engineers develop video games and other forms of multimedia. They are a pivotal part of the gameplay and overall player experience.

Average Salary for a Software Engineer

The average salary for a Software Engineer in the United States is closer to $115,000 per reports from Glassdoor; however, there are opportunities for additional pay, making this number considerably higher. The salary ranges also vart entirely on numerous personal factors. Salaries can shift based on the applicant’s level of education, their years of experience, and the specific industry or company. For example, an entry-level position can expect much less than a Senior Software Engineer, who could earn upwards of $264,000 per year. Likewise, the industries that typically pay Software Engineers the most include finance, pharmaceutical and biotechnology, entertainment, and insurance.

Web Developer

What is a Web Developer?

Web Developers are tasked with designing, creating, and upkeeping websites and applications that are both functional and aesthetically appealing. This ensures that the user experience is positive and that the business associated with the website can remain relevant, keep up with traffic, and increase profits. A Web Developer will learn how to program on the front and back end, otherwise known as full stack development.

Similarities with a Computer Scientist

Computer science experts can become Web Developers as the two roles have similar skill sets. These are comparable in that they both require a strong understanding of software development and algorithms. Additionally, both work with databases in perhaps similar ways. However, they differ in their focus. Web Developers are solely working to create a well-organized, highly optimized website or application, whereas Computer Scientists work on a variety of platforms, applications, sites, software systems, and models.

Web Developer Job Skills

Web Developers develop both technical and creative skills that enable them to create visually appealing and functional websites. Out of the programming languages, they are likely to learn HTML, CSS, and JavaScript for front end development as well as Python and Ruby for back end development. They will also understand responsive design for the user experience and to design the user interface. Moreover, they will use creative applications like those in Adobe Creative Cloud to make sure the website aligns with the brand’s preferences and ethos.

Industries That Hire Web Developers

Any company that needs a website will hire a team of Web Developers. They work in a variety of industries, such as education, retail, finance, technology, healthcare, and media and entertainment. They all design and deploy websites, but each Web Developer will emphasize different elements depending on their industry. For instance, a Web Developer for an educational institution will ensure that the online learning platforms and digital portals are easily accessible for students and faculty. On the other end of the spectrum, a Web Developer for a retail company may focus more on ensuring the consumer can easily find what they are looking for and that the visuals match up to the brand and the products being sold.

Average Salary for a Web Developer

Web Developers can earn a base salary typically around $80,000 in the United States, according to Indeed. This does not include cash bonuses, which can be upwards of $2,500 on average. However, location plays a huge role in the salary expectations of a Web Developer. For example, Seattle-based Web Developers can typically find jobs with salaries close to $134,000 whereas Chicago is closer to $103,000. Los Angeles has an expected salary closer to $93,000, which is comparable to the U.S. average. Taking into consideration the companies and industries that are successful in this area may account for the disparity between these major cities.

Why Become a Computer Scientist?

There are many reasons to consider becoming a Computer Scientist. This field opens many doors for professional inquiry and advancement and is an active and rapidly evolving field. You can find many high-paying jobs that are well-suited to someone who has both technical skills and the ability to think critically and solve problems. The sheer variety of specializations, such as artificial intelligence, digital systems, software, cybersecurity, data management, and web development, make this an incredibly alluring field to pursue. 

In addition to the diverse specializations, this field has a lot of flexibility in specialization, job type, and industry. You can easily make a career shift from one subject to the other and can find jobs in small businesses or large corporations. Computer science professionals can also easily advance in their positions and fields by continuing education and gaining certificates and certifications. Plus, any company that relies on data or computer systems will need a computer science team. This flexibility allows you to develop professionally and find a career that aligns with your passions, whether you work as a full-time employee, a part-time independent consultant, a remote worker, or a freelancer.

Moreover, computer science careers are generally lucrative in addition to their diversity and flexibility. A typical computer science expert can earn well above six figures depending on the specialty, industry, and location. As technology continues to advance and integrate into other areas of business and everyday life, the need for computer science experts will expand. This is an excellent career path if your technical skills are unmatched, your problem-solving and interpersonal skills are adequate, and your desire to drive innovative new strategies is strong.

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.