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Computer Science Degree Jobs in Hawaii (NOW HIRING)

GRVTY

Data Scientist 2

Honolulu, HI · On-site

... Computer Science or a degree in a related field. • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at ...

GRVTY

Data Scientist 2

Honolulu, HI · On-site

$98K - $108K/yr

Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field ...

GRVTY

Data Scientist 2

Honolulu, HI · On-site

$98K - $108K/yr

Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field ...

University of Hawaii

Lecturer (Data Science)

Hilo, HI · On-site

College of Natural and Health Sciences - Computer Science Opening Date: 05/23/2026 Closing Date ... Master's degree in Data Science or in an area closely related to the course(s) taught. * Proficient ...

University of Hawaii

Lecturer (Data Science)

Hilo, HI · On-site

College of Natural and Health Sciences / Department of Computer Science Location: UH Hilo Date ... Minimum Qualifications Master's degree in Data Science or in an area closely related to the course ...

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All JobsComputer Science Degree JobsComputer Science Degree Jobs in Hawaii

Computer Science Degree information

See Hawaii salary details

$58.7K

$86.3K

$101.8K

How much do computer science degree jobs pay per year?

As of Aug 9, 2026, the average yearly pay for computer science degree in Hawaii is $86,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $97,100.00 per year, depending on experience, location, and employer.

What can you do with a computer science degree?

A computer science degree prepares individuals for roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. It provides skills in programming, algorithms, and systems design, often requiring knowledge of programming languages like Java, Python, or C++ and familiarity with tools such as databases and operating systems.

What is a computer science degree?

A Computer Science degree is an academic program that focuses on the study of computers, computational systems, and software. Students learn about programming, algorithms, data structures, computer hardware, software engineering, and theoretical concepts underpinning computing. Graduates are prepared for careers in software development, data analysis, cybersecurity, artificial intelligence, and many other technology-related fields. The degree can be earned at various levels, including associate, bachelor's, master's, and doctoral degrees.

What are the key skills and qualifications needed to thrive with a computer science degree, and why are they important?

To thrive with a Computer Science degree, a strong grasp of programming languages, algorithms, and data structures is essential, typically supported by a bachelor's degree in computer science or a related field. Familiarity with development tools, version control systems like Git, and certifications such as AWS Certified Developer or CompTIA Security+ are often beneficial. Problem-solving, analytical thinking, and effective teamwork are crucial soft skills that distinguish successful professionals. Mastering these skills enables individuals to efficiently design, implement, and maintain complex software solutions in diverse technical environments.

What is the difference between Computer Science Degree vs Software Developer?

AspectComputer Science DegreeSoftware Developer
Required CredentialsDegree in Computer Science or related fieldTypically requires programming skills, experience, and sometimes certifications
Work EnvironmentAcademic, research, or industry settingsTech companies, startups, or freelance projects
Industry UsageUsed as a qualification for various tech rolesPractical role focused on coding and software creation
Search & Comparison IntentUnderstanding educational requirements and career pathsJob qualifications and skills needed for software development

While a Computer Science Degree provides foundational knowledge and credentials, a Software Developer focuses on applying programming skills to build software. Many software developers have degrees in computer science, but practical experience and coding ability are equally important for the role.

What jobs can you do with a computer science degree?

A computer science degree qualifies individuals for a variety of roles including software developer, systems analyst, database administrator, cybersecurity analyst, and network engineer. These jobs often require knowledge of programming languages, problem-solving skills, and familiarity with tools like Linux, Java, or Python.

Are computer science degree majors still in demand?

Computer science degree majors are currently in high demand due to the growth of technology industries, software development, data analysis, and cybersecurity. Employers seek candidates with programming skills, knowledge of algorithms, and experience with tools like Python, Java, and cloud platforms, making it a strong field for job opportunities.

What jobs does a computer science degree get you?

A computer science degree can lead to roles such as software developer, systems analyst, database administrator, cybersecurity analyst, and network engineer. These jobs typically require programming skills, knowledge of algorithms, and familiarity with tools like Java, Python, or SQL, often within technology or IT environments.

What types of entry-level roles are typically available to recent graduates with a computer science degree, and how do these roles support career growth?

Recent graduates with a Computer Science degree often start in roles such as software developer, QA engineer, IT support specialist, or data analyst. These positions provide hands-on experience with real-world projects, exposure to collaborative team environments, and an opportunity to work with various technologies. Early career roles typically include mentorship and training, allowing new professionals to build foundational skills, specialize in areas of interest, and progress toward more advanced positions like software architect, project manager, or data scientist over time.
What are the most commonly searched types of Computer Science Degree jobs in Hawaii? The most popular types of Computer Science Degree jobs in Hawaii are:
What are popular job titles related to Computer Science Degree jobs in Hawaii? For Computer Science Degree jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Computer Science Degree jobs in Hawaii look for? The top searched job categories for Computer Science Degree jobs in Hawaii are:
What cities in Hawaii are hiring for Computer Science Degree jobs? Cities in Hawaii with the most Computer Science Degree job openings:
Computer Science Degree jobs near you
Infographic showing various Computer Science Degree job openings in Hawaii as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $86,347 per year, or $41.5 per hour.

Data Scientist 2 with Security Clearance

GRVTY

Honolulu, HI • On-site

Other

Re-posted 6 days ago

Job description

What You'll be Owning: * We are actively searching for Data Scientists, located in Hawaii, to support our team. We have varying levels of Data Scientist roles, depending on years of experience and education. * Performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms as well as algorithm refinements, and supports data visualization and analytics. What You Must Have : * Bachelor's Degree with 3 years of relevant experience OR Associates degree with 5 years of relevant experience * Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirements, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. * Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python)), statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g., data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred * Active TS/SCI w/poly What Would Be Nice to Have: * Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility) * Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) * Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, * Statistics, computer science, and application specific knowledge. * Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in data holdings. * Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting, processing, storage and analytic capabilities and limitations.

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